IUPUI Campus Bulletin 2019-2020

Biology

Undergraduate Level

• BIOL-K 101 Concepts of Biology I (5 cr.) P: High school or college chemistry and math placement at MATH 15300 or higher. An introductory course emphasizing the principles of cellular biology; molecular biology; genetics; and plant anatomy, diversity, development, and physiology. Fall, Spring, Summer.

• BIOL-K 102 Honors Concepts of Biology I (5 cr.) P: High school or college chemistry and math placement at MATH 15300 or higher. For Honors Credit: Fall. An introductory course emphasizing the principles of cellular biology; molecular biology; genetics; and plant anatomy, diversity, development, and physiology. Faculty-supervised research projects and approved independent projects provide greater depth for honors students. This course carries honors credit.

• BIOL-K 103 Concepts of Biology II (5 cr.) P: BIOL-K 101. An introductory biology course emphasizing phylogeny, structure, physiology, development, diversity, evolution and behavior in animals. Fall, Spring, Summer.

• BIOL-K 104 Honors Concepts of Biology II (5 cr.) P: BIOL-K 101 and accepted into honors program or BIOL-K 102. An introductory biology course emphasizing phylogeny, structure, physiology, development, diversity, evolution and behavior in animals. This course will expose honors students to a unique series of laboratory investigations. Spring.

• BIOL-K 195 Introductory Topics in Biology (0-3 cr.) P: Freshman or sophomore standing or consent of instructor. Other prerequisites may be announced at the time of topic offering. Lectures on contemporary issues in biology. This course may also include reading assignments and special projects. Fall, Spring, Summer.

• BIOL-K 295 Intermediate Topics in Biology (0-3 cr.) P: P: Freshman or sophomore standing; other prerequisites may be announced at the time of topic offering. Lectures on contemporary issues in biology. This course may also include reading assignments and special projects. Yes.

• BIOL-K 322 Genetics and Molecular Biology (3 cr.) P: BIOL-K 103 and CHEM-C 106. The course covers the principles of classical and molecular genetics including Mendelian inheritance, linkage, nucleic acids, gene expression, recombinant DNA, genomics, immunogenetics, and regulation. Fall, Spring of even-numbered years.

• BIOL-K 323 Genetics and Molecular Biology Laboratory (2 cr.) P: or C: BIOL-K 322. Applied principles of genetics and molecular biology using organisms of increasing complexity from viruses to fruit fly. Laboratory experiments include linkage analyses, deletion mapping, isolation of human chromosomes, mutagenesis, DNA extraction, restriction enzyme analysis, and PCR. Fall.

• BIOL-K 324 Cell Biology (3 cr.) P: BIOL-K 103 and CHEM-C 106. Examination of the structure and activity of eukaryotic cells and subcellular structures. Emphasis is on regulation of and interactions among subcellular events, such as protein targeting, transmembrane signaling, cell movement, and cell cycle. Spring.

• BIOL-K 325 Cell Biology Laboratory (2 cr.) P: or C: BIOL-K 324. Experiments on the molecular and biochemical basis of organization and function of eukaryotic cells. Spring.

• BIOL-K 331 Developmental Biology (3 cr.) P: BIOL-K 103 and BIOL-K 322. Fall, Spring. The development of animal embryos from fertilization through organogenesis and some non-embryonic developmental phenomena.

• BIOL-K 333 Developmental Biology Laboratory (2 cr.) P: or C: BIOL-K 331. Spring. A series of original and embryonic chick cell tissue-based experiments will be performed. These experiments will illustrate mechanisms of animal development.

• BIOL-K 338 Introductory Immunology (3 cr.) P: BIOL-K 103, BIOL-K 322, BIOL-K 324, and CHEM-C 106. Principles of basic immunology with an emphasis on the cells and molecules underlying immunological mechanisms. Fall, Spring, Summer.

• BIOL-K 339 Immunology Laboratory (2 cr.) P: or C: BIOL-K 338. Demonstration of immunological principles by experimentation. Exercises include cells and factors of the innate and the adaptive immune systems. Fall, Spring.

• BIOL-K 341 Principles of Ecology and Evolution (3 cr.) P: BIOL-K 103. A study of the interactions of organisms with one another and with their nonbiotic environments in light of evolution. Fall, Spring.

• BIOL-K 342 Principles of Ecology and Evolution Laboratory (2 cr.) P: or C: BIOL-K 341. Application of ecology and evolution principles in laboratory and field experiments as well as demonstration of techniques of general ecology. Fall.

• BIOL-K 350 Comparative Animal Physiology (3 cr.) P: BIOL-K103 and CHEM-C106 Fall. A comparative examination of principles of animal physiology from molecular to organismal levels using homeostasis, regulation, and adaptation as central themes.

• BIOL-K 356 Microbiology (3 cr.) P: BIOL-K 103, CHEM-C 341. Introduction to microorganisms: cytology, nutrition, physiology, and genetics. Importance of microorganisms in applied fields including infectious disease. Fall, Spring.

• BIOL-K 357 Microbiology Laboratory (2 cr.) P: or C: BIOL-K 356. Laboratory experiments and demonstrations to yield proficiency in aseptic cultivation and utilization of microorganisms; experimental investigations of biological principles in relation to microorganisms. Fall, Spring.

• BIOL-K 384 Biochemistry (3 cr.) P: BIOL-K 101 or equivalent recommended; P or C: CHEM-C 342 or equivalent. Biochemistry covering the fundamentals of the chemistry of life including biomolecule structure and function, the dependence of biological processes on chemical and physical principles, and pathways of carbohydrate and fatty acid metabolism. Recommended for pre-professional students. Prerequisite for advanced level courses in the Departments of Biology and Chemistry and Chemical Biology. Fall, Spring, Summer.

• BIOL-K 395 Advanced Topics in Biology (1-3 cr.) P: Junior or senior standing or consent of instructor; other prerequisites may be announced at the time of topic offering. Lectures on contemporary issues in biology. This course may also include reading assignments and special projects. Fall, Spring, Summer.

• BIOL-K 411 Global Change Biology (3 cr.) P: BIOL-K 101 and BIOL-K 103 or GEOL-G 109 and one course in chemistry or consent of instructor. Examination of changes in earth's environment over history. In-depth study of effects of environmental change, including global warming, on the ecology of various organisms. Spring of odd-numbered years.

• BIOL-K 416 Cellular Molecular Neuroscience (3 cr.) P: BIOL-K 324. This course is designed to provide an in-depth analysis of topics within the field cellular and molecular neuroscience.  It will cover invertebrate and vertebrate neurobiology, cell and molecular biology of the neuron, neurophysiology, neuroanatomy, developmental neurobiology, regeneration and degeneration, learning and memory, and will include comparisons of neural mechanisms throughout the animal kingdom. Fall.

• BIOL-K 451 Neuropharmacology (3 cr.) P: BIOL-K 324. Recommended completion of upper-level biochemistry course. This course focuses on the molecular underpinnings of neuropharmacology. In the first part of the course - Fundamentals of Neuropharmacology - we will look at basic principles of neuropharmacology including understanding how drugs bind to their targets. Also, we will evaluate how neurons communicate with each other and how those signals are transduced on a molecular level. Part 2 will evaluate where drugs act in the brain and some of the major neurotransmitters. Part 3 will focus on neuronal dysfunction in various disorders and how we can treat those disorders pharmacologically. Spring.

• BIOL-K 483 Biological Chemistry (3 cr.) P: CHEM-C 342. P: or C: BIOL-K 324. Chemistry of biologically important molecules including carbohydrates, lipids, proteins, and nucleic acids. Special emphasis on chemistry of intermediary metabolism. Not offered on a regular basis.

• BIOL-K 484 Cellular Biochemistry (3 cr.) P: BIOL-K 322 and CHEM-C 342. P or C: BIOL-K 324. Emphasis on selected topics in cellular biochemistry, including nucleic acid: protein interactions, protein: protein interactions, protein synthesis, biogenesis of membranes, and signal transduction. Current techniques for studying these processes in higher eukaryotes will be discussed. Spring.

• BIOL-K 488 Endocrinology in Health and Disease (3 cr.) P: BIOL-K 103, BIOL-K 324, and BIOL-K 322 or approved equivalent courses. Upper-level biochemistry or equivalent course recommended. An introduction to human endocrinology, including the biology of the major endocrine organs and the roles of the hormones that they release. Both normal endocrine function and common diseases involving hormone physiology are examined. In addition, the course examines how endocrinology impacts everyday life. Spring.

• BIOL-K 490 Capstone (1 cr.) P: Senior standing. Faculty-directed or approved independent library research on an area of public, scientific interest or a community service activity in local industry, government, schools, or other public science-related groups or organizations. Fall, Spring, Summer.

• BIOL-K 493 Independent Research (1-3 cr.) P: Consent of instructor. A course designed to give undergraduate students majoring in biology an opportunity to do research in fields in which they have a special interest. Fall, Spring, Summer.

• BIOL-K 494 Senior Research Thesis (1 cr.) P: BIOL-K 493. A formally written report describing the results or accomplishments of BIOL-K 493. Fall, Spring, Summer.

• BIOL-K 495 Special Topics in Biology (0-3 cr.) P: Junior or senior standing or consent of instructor; other prerequisites may be announced at the time of topic offering. Lectures on contemporary issues in biology. This course may also include reading assignments and special projects.  Fall, Spring, Summer.

• BIOL-S 325 Honors Cell Biology Laboratory (2 cr.) P: or C: BIOL-K 324. The goal of this course is to demonstrate the concepts of how fundamental cellular processes can be demonstrated in a laboratory setting. The course reflects a breadth of experimental approaches used in cell biology today and will allow students to develop a sense of how cells accomplish certain ends and why. There is a major emphasis on primary research literature. Spring.

• BIOL-S 323 Honors Genetics and Molecular Biology Laboratory (2 cr.) P: or C: BIOL-K 322. In this course, students will apply principles of genetics and molecular biology using organisms of increasing complexity from bacteria to the fruit fly. In this laboratory, students will learn many important genetics and molecular biology lab techniques such as: mutagenesis, DNA extraction, restriction enzyme analysis, primer design, bioinformatics applications, and PCR. There will be a major emphasis on primary research literature. Fall.

• BIOL-S 357 Honors Microbiology Lab (2 cr.) P: or C: BIOL-K 356. In this course, students will become proficient in techniques for cultivation and utilization of microorganisms, along with many assays for microorganism identification. There will be a major emphasis on primary research literature. Spring.

Courses for the Nonmajor

• BIOL 10011 Principles of Biomedical Sciences (3 cr.) Students investigate the human body systems and various health conditions including heart disease, diabetes, sickle-cell disease, hypercholesterolemia, and infectious diseases. They determine the factors that led to the death of a fictional person, and investigate lifestyle choices and medical treatments that might have prolonged the person's life. The activities and projects introduce students to human physiology, medicine, research processes and bioinformatics. This course is designed to provide an overview of all the courses in the Biomedical Sciences program and lay the scientific foundation for subsequent courses.

• BIOL 10012 Human Body Systems (3 cr.) P: BIOL 10011. Students examine the interactions of body systems as they explore identity, communication, power, movement, protection and homeostasis. Students design data acquisition software to monitor body functions such as muscle movement, reflex and voluntary action, and respiration. Exploring science in action, students build organs and tissues on a skeletal manikin, work through interesting real world cases and often play the role of biomedical professionals to solve medical mysteries.

• BIOL 10013 Medical Interventions (3 cr.) P: BIOL 10012. Students investigate the variety of interventions involved in the prevention, diagnosis and treatment of disease as they follow the lives of a fictitious family. The course is a "How-To" manual for maintaining overall health and homeostasis in the body as students explore: how to prevent and fight infection; how to screen and evaluate the code in human DNA; how to prevent, diagnose and treat cancer; and how to prevail when the organs of the body begin to fail. Through these scenarios, students are exposed to the wide range of interventions related to immunology, surgery, genetics, pharmacology, medical devices and diagnostics. Lifestyle choices and preventive measures are emphasized throughout the course as well as the important roles scientific thinking and engineering design play in the development of interventions of the future.

• BIOL 10014 Biomedical Innovation (3 cr.) P: BIOL 10013. In this capstone course, students apply their knowledge and skills to answer questions or solve problems related to the biomedical sciences. Students design innovative solutions for the health challenges of the 21st century as they work through progressively challenging open-ended problems, addressing topics such as clinical medicine, physiology, biomedical engineering, and public health. They have the opportunity to work on an independent project and may work with a mentor or advisor from a university, hospital, physician's office, or industry. Throughout the course, students are expected to present their work to an adult audience that may include representatives from the local business and health care community.

• BIOL-N 100 Contemporary Biology (3 cr.) Fall, day, night; Spring, day, night; Summer. Selected principles of biology with emphasis on issues and problems extending into everyday affairs of the student.

• BIOL-N 107 Exploring the World of Animals (4 cr.) Equiv. PU BIOL 109. Fall, Spring, Summer. This course introduces students to animals and their native environments. It surveys individual ecosystems and highlights the interactions, features, and characteristics of the animals found there. Examples of discussion topics include unique features of animals, animal relationships, societies and populations, exotic species, and behavior, including mating, communication, feeding and foraging, and migration. Environmental issues including the effects of pollution on ecosystems are also discussed. Not equivalent to BIOL-K 103.

• BIOL-N 108 Plants, Animals and the Environment (3 cr.) This course is designed to provide students and future K-8 teachers with a background in the general biology concepts of plants, animals and the environment, which are the backbone of the State of Indiana science standards. Not offered on a regular basis.

• BIOL-N 120 Topics in Biology (3 cr.)

• BIOL-N 200 The Biology of Women (3 cr.) Fall, day, night; Spring, day, night; Summer. This course examines the biological basis for bodily functions and changes that take place throughout the life of females.

• BIOL-N 207 Physiology for Healthcare Management (3 cr.) Spring, Summer. This course is designed to provide students with a beginning, but solid foundation in Physiology. This course will focus on the study of internal and external structures, and the physical relationships between these structures. Physiology in this course will be studied at many levels, from molecular through microscopic to whole body, and we will also analyze some physiological concepts from a pathophysiology perspective.

• BIOL-N 211 Anatomy for Healthcare Management (3 cr.) Fall, Summer. This course focuses on internal and external structures and the physical relations between them. Anatomy is studied at many levels, from molecular through microscopic to gross anatomy, and anatomical concepts are studied from a developmental perspective. Models, slides, photographs, and dissections are used. Note: Cannot substitute for BIOL N261 Human Anatomy (5 cr.).

• BIOL-N 212 Human Biology (3 cr.) Equiv. PU BIOL 201. Fall, day. First course in a two-semester sequence in human biology with emphasis on anatomy and physiology, providing a solid foundation in body structure and function.

• BIOL-N 213 Human Biology Laboratory (1 cr.) P: or C: BIOL-N 212. Fall, day. Accompanying laboratory for BIOL-N 212.

• BIOL-N 214 Human Biology (3 cr.) P: BIOL-N 212. Equiv. PU BIOL 202. Spring, day. Continuation of BIOL-N 212.

• BIOL-N 215 Human Biology Laboratory (1 cr.) P: or C: BIOL-N 214. Spring, day. Accompanying laboratory for BIOL-N 214.

• BIOL-N 217 Human Physiology (5 cr.) Equiv. IU PHSL-P 215. Fall, day; Spring, day; Summer, day. Lectures and laboratory work related to cellular, musculoskeletal, neural, cardiovascular, gastrointestinal, renal, endocrine, and reproductive function in humans.

• BIOL-N 222 Special Topics in Biology (1-3 cr.) A variable-topic course dealing with current topics in biology. In a given semester, a topic such as disease, genetics, the environment, etc., will be dealt with as a separate course.

• BIOL-N 225 Urban and Suburban Gardening (2 cr.) P: High School biology. Spring, even years. Course is intended for both biology and non-biology majors. Designed to expand understanding of the science and techniques of gardening with emphasis on healthy soil and its impact on plant growth. After completing the course, students will be able to describe what makes plants grow and what makes plants grow healthy. No gardening experience is required.

• BIOL-N 226 Wildflowers and Ferns of Indiana Forests (2 cr.) Spring. This course will focus on spring wildflowers and other plants that occur in the various forest types in Indiana. At the end of the course, students are expected to be proficient in identifying by both common and botanical names up to 75 forest plants. In addition, they will learn nomenclature, basic taxonomic classification, and how to use simple dichotomous keys. Students will also become familiar with the natural regions of Indiana, natural community types, and natural history information of select plant species.

• BIOL-N 230 Biology, Design and History of Japanese Gardens (3 cr.) Summer. This course will introduce students to the different styles of Japanese gardens including dry landscape gardens, pond gardens, stroll gardens, tea gardens, and courtyard gardens. The course will emphasize the growth and maintenance of plants in a controlled environment and the interplay of the plants with the non-living elements of the garden. Selected gardens in Kyoto, Uji, and Nara, Japan will serve as examples of the various types of gardens, the periods of history that they represent and the design influences exhibited by these gardens. Importantly, the gardens will be experienced first hand allowing the students to form their own impressions and feelings for the gardens. This class will be intensive and will involve walking to and through the gardens.

• BIOL-N 251 Introduction to Microbiology (3 cr.) P: One semester general chemistry or one semester life science. Fall, Spring, day, night. This course includes a laboratory component. The isolation, growth, structure, functioning, heredity, identification, classification, and ecology of microorganisms; their role in nature and significance to humans.

• BIOL-N 261 Human Anatomy (5 cr.) Equiv. IU ANAT-A 215. Fall, Spring, Summer. Lecture and laboratory studies of the histology and gross morphology of the human form, utilizing a cell-tissue-organ system-body approach.

• BIOL-N 322 Introductory Principles of Genetics (3 cr.) P: BIOL-N 107 or BIOL-K 101. Equiv. PU AGR 430. Spring, night. Basic principles of plant and animal genetics. Emphasis on transmission mechanisms as applied to individuals and populations. For students in health and agricultural sciences.

• BIOL-N 400 Biological Skills for Teachers (3 cr.) P: Consent of instructor. Fall, night. Concepts and laboratory skills necessary to prepare teachers with diverse backgrounds to return to graduate academic biology courses are reviewed. Topics include general principles of biology, biochemistry, and biomathematics.

• BIOL-N 461 Cadaveric Human Anatomy (5 cr.) P: BIOL-N 261 Human Anatomy, (minimum grade of B) and BIOL-N 217 Human Physiology (minimum grade of B) or instructor approval. Spring. This course is designed for upper-level undergraduate students who desire an advanced understanding of Human Anatomy, especially those who intend to pursue a career in the health professions. Through the use of cadaveric dissection, prosected materials, and digital images, the student will explore the structural details of the human body, with a particular emphasis on functional anatomy and clinical correlations. This course will be an intensive learning experience for motivated undergraduates.

Advanced Undergraduate and Graduate Level

• BIOL 50700 Principles of Molecular Biology (3 cr.) P: BIOL-K 322, CHEM-C 342, or consent of instructor. Molecular aspects of structure and function of nucleic acids and proteins, including recombinant DNA research. Prokaryotic and eukaryotic molecular biology are given equal weight. Fall.

• BIOL 51600 Molecular Biology of Cancer (3 cr.) P: BIOL-K 322, CHEM-C 342 or a course in biochemistry. A detailed course examining the molecular mechanisms controlling the growth of animal cells. Emphasis on current experimental approaches to defining the molecular basis of growth regulation in developing systems and the uncontrolled proliferation of cells in metabolic disorders, such as cancer. Spring.

• BIOL 53000 Introductory Virology (3 cr.) P: BIOL-K 356, CHEM-C 342. Detection, titration, and chemistry of viruses; viral host interactions: bacteriophage-bacterium, animal virus-animal cell, plant virus-plant cell; tumor viruses: infection and transformation. Not offered on a regular basis.

• BIOL 54000 Topics in Biotechnology (3 cr.) P: BIOL-K 322 and CHEM-C 341, or consent of instructor. Examines research techniques and applications for several technologies situated at currently recognized biological frontiers, including recombinant DNA technology, hybridoma technology, protein engineering, agricultural research, and microbiological engineering. Not offered on a regular basis.

• BIOL 54410 Sensory Systems (3 cr.) P: BIOL-K 324. The goal of Sensory Systems is to gain an understanding of the mechanisms that underlie sensory perception at the molecular, cellular, and systems level. This will be accomplished by examining how various forms of energy are transduced into the electrochemical messages of the nervous system, what pathways the information travels within the nervous system, and how this information is processed and perceived. Spring.

• BIOL 54800 Techniques in Biotechnology (3 cr.) P: BIOL-K 322, CHEM-C 342, or consent of instructor. Laboratory experience in techniques applicable to biotechnology: protein chemistry, molecular biology, and immunology. Not offered on a regular basis.

• BIOL 55000 Plant Molecular Biology (3 cr.) P: BIOL-K 322, CHEM-C 341, or consent of instructor. A comprehensive study of plant molecular biology and plant molecular genetics. Topics will include the structure and expression of plant nuclear, chloroplast, and mitochondrial genomes, and plant viruses. Fall.

• BIOL 55600 Physiology I (3 cr.) P: BIOL-K 103, CHEM-C 342. Principles of physiology: nerve and muscle, temperature regulation, ion and water balance. Fall.

• BIOL 55700 Physiology II (3 cr.) P: 556 or consent of instructor. A study of human cardiovascular, pulmonary, blood, and gastrointestinal systems. Higher neuronal functions and intersystem interactions will be discussed. Spring.

• BIOL 55900 Endocrinology (3 cr.) P: BIOL 55600 or equivalent, and CHEM-C 342. The study of hormone function. Consideration will be given to the role of hormones in growth, development, metabolism, homeostasis, and reproduction. Fall, Spring.

• BIOL 56010 Clinical and Molecular Aspects of Neurodegenerative Diseases (3 cr.) P: BIOL-K 416 or BIOL-K 451 or instructor consent. This course focuses on the molecular and clinical aspects of neurodegenerative diseases. The first part of the course will briefly introduce critical brain structures, with a focus on neurons and glia and will evaluate molecular mechanisms that underlie protein aggregation and cell death. The remainder of the course will focus on the multiple aspects of specific neurodegenerative diseases. Fall.

• BIOL 56100 Immunology (3 cr.) P: BIOL-K 103, CHEM-C 341. Introduction to basic principles and experimentation in cellular and humoral immunology. Fall.

• BIOL 56400 Molecular Genetics of Development (3 cr.) P: BIOL-K 322 or similar course or consent of instructor. The course examines the genetic and developmental bases as well as phenotypes of 40 genetic disorders. Chromosomal, single gene, complex and developmental genetic disorders are studied in detail. Emphasis is placed on molecular techniques and understanding current primary literature. Spring.

• BIOL 56600 Developmental Biology (3 cr.) P: BIOL-K 322. Principles of animal development. The emphasis is on concepts and underlying mechanisms of developing and regenerating systems and stem cell properties, including molecular and biochemical approaches. Fall.

• BIOL 56800 Regenerative Biology and Medicine (3 cr.) P: BIOL-K 324 or BIOL-K 331 or a biochemistry course. This course examines the mechanisms of natural regeneration (regenerative biology) and the application of these mechanisms to the development of therapies to restore tissues damaged by injury or disease (regenerative medicine). Not offered on a regular basis.

• BIOL 57000 Biological Membranes (3 cr.) P: CHEM-C 342 or consent of instructor. An examination of structure and function of biological membranes. Topics include lipid and protein composition and interactions, physiological properties of membranes, physiological methods of analysis, model membrane systems, and survey of specific biological membranes and their modes of action. Not offered on a regular basis.

• BIOL 57100 Developmental Neurobiology (3 cr.) P: Consent of instructor. The major phases of nervous system development beginning with neurolation and neurogenesis and ending with the onset of physiological activity will be studied in a variety of animals, mainly avians and mammals (including man). Neural developmental disorders and behavioral ontogeny will also be considered. Fall.

• BIOL 57310 Stem Cell Biology (3 cr.) P: BIOL-K 324. In this course, students will develop a clear understanding of stem cells' defining features, activities and potential utility. Stem cell research is pursued in nearly all areas of medicine. This course focuses on important definitions and characteristics of stem cells and develops a general overview of stem cell biology. The course builds on this overview of stem cell biology by examining specific examples of developmental biology, methodology and the potential applications of stem cell therapy. Spring.

• BIOL 57410 Molecular and Cellular Bone Biology (3 cr.) P: BIOL-K 101, BIOL-K 103, BIOL-K 324. This course is designed for graduate and senior undergraduate students. Concentration on basic cellular and molecular concepts of bone and cartilage with applications to engineering concepts. Topics include bone development and growth, cartilage and chondrocyte, signal transduction in bone cells, stem cells, skeletal regeneration, tissue engineering, gene therapy and cancer bone metastasis. Fall.

• BIOL 57850 Epigenetics (3 cr.) P: Undergraduate course in biochemistry and/or molecular biology or consent of instructor. Epigenetics refers to heritable patterns of gene expression and phenotype that occur without altered DNA sequence. The molecular basis for many epigenetic phenomena resides at the level of chromatin structure. Originally thought to provide primarily a packaging function, the assembly of DNA with proteins to form chromatin is now known to be a dynamic process that is essential for proper regulation of gene expression. It is now appreciated that perturbed epigenetic regulation is associated with a variety of human diseases, such as cancer, and that a better understanding of this biology may reveal novel therapeutic approaches to treat these disorders. This course will introduce students to epigenetic phenomena in various organisms, ranging from yeast to humans, and explore the fundamental molecular biology that controls this level of gene regulation. Students will be exposed to the primary scientific literature, and gain experience in presenting original research findings to their peers. Not offered on a regular basis.

• BIOL 59500 Special Assignments (1-3 cr.) P: Consent of instructor. Special work, such as directed reading, independent study or research, supervised library, laboratory or fieldwork, or presentation of material not available in the formal courses of the department. Fall, Spring, Summer.

Graduate Level

• BIOL 60900 Scientific Research Bootcamp (3 cr.) P: Enrolled in an MS Thesis or PhD program in the School of Science. This course introduces graduate students (Thesis Masters's and Ph.D.) to research approaches and analysis programs, research presentation skills, and the proper conduct of research. This bootcamp course fulfills the requirement for Responsible Conduct in Research training that is required for students with certain funding and paid off of NIH/HSF grants. Moreover, this course introduces students to programs such as Adobe Illustrator, Adobe Photoshop, GraphPad Prism, SPSS, and Image J., some or all of which they will be using during their graduate careers and beyond.

• BIOL 62500 Immune System Disorders (3 cr.) P: BIOL-K 338. The aim of this course is to understand the underlying mechanisms that contribute to immune system dysfunction. We will discuss the genetic defects in the immune system, immune complex diseases, immune mediated hypersensitivity reactions and autoimmune diseases. This course covers fundamentals as well as current topics in the field of immunology. Fall.

• BIOL 64100 Microbial Genetics (2 cr.) P: BIOL-K 323, CHEM-C 342 and consent of instructor. Genetics of bacteria, bacterial viruses, and other microorganisms with emphasis on organization, replication, and function of the genetic material. Spring odd years, night.

• BIOL 69600 Seminar (1 cr.) Each semester there are several separate offerings. They will likely be on the following topics: biochemistry, biology teaching, ecology and population biology, genetics, mechanisms of development, microbiology, neurobiology, and plant physiology. Oral presentations required. Fall, Spring. May be repeated for credit.

• BIOL 69700 Special Topics (1-3 cr.) The frontiers of biology. Critical examination of developments in the various specialties represented by the members of the department. Currently, advanced work in the following and related fields can be offered: molecular genetics; structure and biosynthesis of biologically significant molecules; the nature of biological specificity and enzyme catalysis; the fine structure and chemistry of subcellular particles, cells, and tissues; microbial and plant metabolism; comparative biochemistry; genetics and physiology of viruses, bacteria, fungi, protozoa, helminths, and cells of higher forms of life; the genetics, structure, development, and physiology of plants and animals, including endocrinology and work physiology; excitable membranes; neurobiology, ecology, systematics, and evolution of microorganisms, plants, and animals; host-parasite relationships including immunology; and the teaching of biology. The field in which work is offered will be indicated in the student's record. May be repeated for credit.

• BIOL 69800 Research M.S. Thesis (Arr. cr.) M.S. Thesis.

• BIOL 69900 Research Ph.D. Thesis (Arr cr.) Research Ph.D. Thesis.

• BIOL-G 901 Advanced Research (6 cr.)

Chemistry

Undergraduate

• CHEM-C 100 The World of Chemistry (3 cr.) A topically oriented, nonmathematical introduction to the nature of matter. Topics covered include fossil fuel and nuclear sources of power; environmental issues involving chemistry such as recycling, acid rain, air and water pollution, global warming, ozone depletion; genetic modification of foods, DNA profiling, use of food additives and herbal supplements; and other public policy issues involving science.

• CHEM-C 101 Elementary Chemistry I (3 cr.) P: At least one semester of high school algebra. C: CHEM-C 121. Fall, day, night; Spring, day, night; Summer II, day. Essential principles of chemistry, atomic and molecular structure, bonding, properties and reactions of elements and compounds, stoichiometry, solutions, and acids and bases. For students who are not planning careers in the sciences and for those with no previous course work in chemistry. Note: most degree programs that include CHEM-C101 require the concurrent laboratory, CHEM-C121.

• CHEM-C 105 Principles of Chemistry I (3 cr.) P: Two years of high school algebra and one year of high school chemistry. C: CHEM-C 125. A placement examination may be required for admission to this course. See "Chemistry Placement Examination" above. Fall, day, night; Spring, day; Summer I, day. Principles of inorganic and physical chemistry emphasizing physical and chemical properties, atomic and molecular structure, chemical bonding, and states of matter.

• CHEM-C 106 Principles of Chemistry II (3 cr.) P: CHEM-C 105 or equivalent. C: CHEM-C 126. Fall, day; Spring, day, night; Summer II, day. Continuation of CHEM-C 105. Topics include condensed phases, solution chemistry, thermodynamics, equilibrium, and kinetics.

• CHEM-C 110 The Chemistry of Life (3 cr.) High school chemistry recommended. Optional laboratory: CHEM-C 115. A nonmathematical introduction to organic molecules and their transformation to useful materials such as drugs and polymers. An emphasis is placed on the chemical features of biomolecules including hormones and neurotransmitters, proteins, lipids (fats), carbohydrates (sugars), and nucleic acids (DNA/RNA). The chemistry of enzymes, carcinogens, vitamins, antihistamines, anesthetics, genetic engineering, mental health, and other health-related topics.

• CHEM-C 115 Laboratory for C110 The Chemistry of Life (2 cr.) P: or C: CHEM-C 110. Laboratory work illustrating topics covered in CHEM-C 110.

• CHEM-C 121 Elementary Chemistry Laboratory I (2 cr.) P: or C: CHEM-C 101 (3 cr.) Fall, day, night; Spring, day, night; Summer II, day. Introduction to the techniques and reasoning of experimental chemistry. Emphasis is given to study of physical and chemical properties of inorganic compounds.

• CHEM-C 125 Experimental Chemistry I (2 cr.) P: or C: CHEM-C 105 or equivalent. Fall, day, night; Spring, day, night; Summer I, day. Laboratory work illustrating topics covered in CHEM-C 105.

• CHEM-C 126 Experimental Chemistry II (2 cr.) P: CHEM-C 105 and CHEM-C 125; P or C: CHEM-C 106 or equivalent. Fall, day, night; Spring, day, night; Summer II, day. Continuation of CHEM-C 125. Laboratory work illustrating topics covered in CHEM-C 105 and CHEM-C 106.

• CHEM-C 209 Special Problems (1-2 cr.) P: Two semesters of college chemistry and consent of instructor. Every semester, time arranged. Individually supervised special problems of chemical interest, e.g., environmental problems, development of experiments, development of audiovisual materials, etc. May be repeated for credit, but maximum of 2 credit hours may be applied toward a chemistry degree.

• CHEM-C 294 Cornerstone in Chemistry (1 cr.) P: CHEM-C 106. Fall, Spring. To engage sophomore chemistry majors in important educational and professional topics such as departmental research opportunities, career planning, library research skills, scientific communication, scientific ethics and science in society issues.

• CHEM-C 301 Chemistry Seminar I (1 cr.) P: or C: CHEM-C 409 and consent of instructor. Fall, day. Topics in various areas of chemistry. Students are required to attend departmental seminars and prepare and present at least one seminar on their research. CHEM-C 301 and CHEM-C 302 may be elected three semesters for credit.

• CHEM-C 302 Chemistry Seminar II (1 cr.) P: or C: CHEM-C 409 and consent of instructor. Spring, day. Content same as CHEM-C 301.

• CHEM-C 309 Cooperative Education in Chemistry (1 cr.) P: General and organic chemistry and consent of departmental chairperson. Every semester, time arranged. Industrial or similar experiences in chemically oriented employment. Grade is determined on basis of employment visitations, a written student report, and a supervisor evaluation report. May be repeated for a maximum of 5 credit hours, of which 3 may be used to satisfy an advanced chemistry elective.

• CHEM-C 310 Analytical Chemistry (3 cr.) P: CHEM-C 106 and CHEM-C 126. Fall, Spring. Fundamental analytical processes including solution equilibria, theory and applications of electrochemistry and spectrophotometry, and chemical methods of separation.

• CHEM-C 311 Analytical Chemistry Laboratory (1 cr.) P: or C: CHEM-C 310. Fall, Spring. Laboratory instruction in the fundamental analytical techniques discussed in CHEM-C 310.

• CHEM-C 325 Introductory Instrumental Analysis (5 cr.) P: CHEM-C 310, CHEM-C 311. Spring. Instrumental methods of chemical analysis and separation for the chemical technician or preprofessional chemistry major.

• CHEM-C 341 Organic Chemistry I (3 cr.) P: CHEM-C 106. Fall, day, night; Spring, varies; Summer I, varies. Comprehensive study of organic compounds. Valence bond theory, stereochemistry, and physical properties of organic compounds are discussed in detail. Introduction to reaction mechanisms and to spectroscopic identification. Synthesis and reactions of selected compounds are also discussed.

• CHEM-C 342 Organic Chemistry II (3 cr.) P: CHEM-C 341. Fall, day; Spring, day, night; Summer II, varies. Continuation of CHEM-C 341. The chemistry of aromatic compounds and other major functional groups are discussed in detail. Multistep synthetic procedures and reaction mechanisms are emphasized. Introduction to biological chemistry.

• CHEM-C 343 Organic Chemistry Laboratory I (2 cr.) P: CHEM-C 126; P or C: CHEM-C 341. Fall, day, night; Spring, day, night; Summer I, varies. Fundamental laboratory techniques of organic chemistry, introduction to spectroscopic methods of compound identification, and general synthetic methods.

• CHEM-C 344 Organic Chemistry Laboratory II (2 cr.) P: CHEM-C 343. P: or C: CHEM-C 342. Fall, night; Spring, day, night; Summer II, varies. Preparation, isolation, and identification of organic compounds, spectroscopic methods of compound identification, qualitative organic analysis, multistep synthesis.

• CHEM-C 360 Elementary Physical Chemistry (3 cr.) P: CHEM-C 106, MATH 22200 or MATH 23200, PHYS-P 202. Spring, day. Properties of gases and liquids, intermolecular forces, diffusion, chemical thermodynamics, ligand binding, kinetics, and introduction to quantum chemistry and spectroscopy. Includes topics in biophysical chemistry. For students who desire a survey course in physical chemistry.

• CHEM-C 361 Physical Chemistry of Bulk Matter (3 cr.) P: CHEM-C 106, MATH 16600, and PHYS-P 202 or PHYS 25100. C: MATH 26100. Spring, day. Kinetic-molecular theory, gases, liquids, thermodynamics, statistical mechanics, solutions, transport properties, and phase and chemical equilibria.

• CHEM-C 362 Physical Chemistry of Molecules (4 cr.) P: CHEM-C 106, MATH 16600, and PHYS-P 202 or PHYS 25100. C: MATH 26100. Fall, day. Quantum chemistry, symmetry, atomic and molecular structure and spectra, solids, chemical kinetics, photochemistry, and introduction to statistical thermodynamics.

• CHEM-C 363 Experimental Physical Chemistry (2 cr.) P: CHEM-C 362 and P or C: CHEM-C 361 Spring. Experimental work to illustrate principles of physical chemistry and to introduce research techniques.

• CHEM-C 371 Chemical Informatics I (1 cr.) P: CHEM-C 106, Fall. Basic concepts of information representation, storage, and retrieval as they pertain to chemistry. Structures, nomenclature, molecular formulas, coding techniques for visualization of chemical structures and properties.

• CHEM-C 372 Chemical Informatics II: Molecular Modeling (2 cr.) P: CHEM-C 341. Introduction to computer representation of molecular structure and simulation of chemical reactions; visualizing fundamental chemical concepts, such as reaction paths of standard organic reactions, molecular orbital diagrams, vibrations and conformational changes; quantitative structure activity relationships (QSAR), pharmacophore docking to biomolecules, and related methods for drug design.

• CHEM-C 384 Biochemistry (3 cr.) P: or C: CHEM-C 342 or equivalent. BIOL-K 101 or equivalent recommended. Summer. Biochemistry covering the fundamentals of the chemistry of life including biomolecule structure and function, the dependence of biological processes on chemical and physical principles, and pathways of carbohydrate and fatty acid metabolism. Recommended for pre-professional students. Course meets requirements for preprofessional students requiring a biochemistry course.

• CHEM-C 409 Chemical Research (1-3 cr.) P: Junior or senior standing and consent of instructor. Every semester, time arranged. Chemical or literature research with a report. Can be elected only after consultation with research advisor and approval of program. May be taken for a total of 10 credit hours, which count toward graduation. A minimum of three (3) credit hours may be used to satisfy the advanced chemical elective in the Bachelor of Science in Chemistry degree program.

• CHEM-C 410 Principles of Chemical Instrumentation (3 cr.) P: CHEM-C 310 and CHEM-C 361. P or C: CHEM-C 362. Fall. Modern methods of instrumental analysis, including spectroscopy, chromatography, and electrochemistry.

• CHEM-C 411 Principles of Chemical Instrumentation Laboratory (2 cr.) P: CHEM-C 311. P or C: CHEM-C 410. Fall. Laboratory instruction in the instrumental analysis techniques discussed in CHEM-C 410.

• CHEM-C 430 Inorganic Chemistry (3 cr.) P: CHEM-C 362. Spring. Atomic structure; periodic trends and properties of the elements. Introduction to symmetry and group theory. Valence bond, molecular orbital and ligand field theories of bonding and their application to structure and properties of inorganic and organometallic compounds. Spectroscopic properties and acid-base, oxidation-reduction, and coordination reactions of inorganic compounds.

• CHEM-C 435 Inorganic Chemistry Laboratory (1 cr.) P: or C: CHEM-C 430. Spring. Synthesis, characterization, and study of chemical and physical properties of inorganic and organometallic compounds.

• CHEM-C 471 Chemical Information Sources (1 cr.) P: CHEM-C 341. Fall. Techniques for the storage and retrieval in both printed and computer-readable formats; sources of chemical information, including Chemical Abstracts; development of search strategies; and online searching of chemical databases.

• CHEM-C 472 Computer Sources for Chemical Information (1 cr.) P: CHEM-C 471. Spring. Techniques for the utilization of the major computer-based information tools found in academic and industrial environments.

• CHEM-C 485 Biosynthesis and Physiology (3 cr.) P: CHEM-C 484 or equivalent. Fall. Mechanisms of biological catalysis, metabolism, biosynthesis.

• CHEM-C 486 Biological Chemistry Laboratory (2 cr.) P: CHEM-C 484 or equivalent. Fall. An introduction to the important laboratory techniques currently employed by practicing biological chemists, including biomolecule isolation, purification, enzyme kinetics, and biomolecule characterization by electrophoresis, centrifugation, and spectroscopic methods.

• CHEM-C 488 Introduction to Medicinal and Agricultural Chemistry (3 cr.) P: CHEM-C 384 or equivalent. Fall. Medicinal chemistry plays an integral role in drug discovery, providing the link between target identification and the development of a therapeutic agent. This course examines the role of chemistry in the discovery of bioactive molecules, highlighting the similarities and differences in the search for novel medicinal and agricultural chemicals.

• CHEM-C 489 The Practice of Medicinal Chemistry (3 cr.) P: CHEM-C 488 or consent of instructor. This course provides an introduction to many parameters involved in the drug discovery process, including how fundamental physico-chemical properties of molecules may be used to predict biological activity. Methods contributing to the drug discovery process will be discussed, including genomics, molecular biology, high-throughput screening, X-ray crystallography, and various computational approaches.

• CHEM-C 495 Capstone in Chemistry (1 cr.) P: Senior standing, B.A. or B.S. program. Fall, day; Spring, day. Independent study, under the supervision of a chemistry faculty member or appropriate academic advisor can be earned by completion of: (a) a chemical research project; (b) a library research project in an area of current scientific investigation; (c) a research investigation in industry; or (d) a service activity in university, government, public schools, or other science-related groups or organizations. Students will report the results of their activities in both a formal written report and oral presentation, prepare portfolios of undergraduate work in chemistry, discuss recent scientific literature, and explore chemistry in society. Enrollment in the Capstone in Chemistry requires joint approval of the capstone instructor and the independent project advisor.

• CHEM-C 496 Methods in Teaching Chemistry (1 cr.) P: CHEM-C 105. Fall; Spring. Designed for workshop leaders, this course offers continued support and training in group dynamics and learning theory. The larger goals for this course are to continue the development of leadership skills, foster ongoing communication among workshop leaders, and provide an environment for reviewing content knowledge.

• CHEM-C 475 Approaches in Chemical Biology (3 cr.) P: CHEM-C484 and CHEM-C410. Spring. Chemical Biology is a broad discipline in which the concepts of chemistry and biology are used together to develop tools to study biological phenomena at the molecular level and to invent new technologies. In the field of Chemical Biology, biological problems are addressed with a chemical mindset. Approaches in Chemical Biology is an advanced course that introduces Chemical Biology as a discipline and, through the use of case studies, examines how chemical and biological techniques are used to study biological systems. Topics will be selected from the current literature and will cover technologies such as genomics, transcriptomics, proteomics, metabolomics, (combinatorial) synthesis of chemical probes, high throughput screening, synthetic biology, and bioorthogonal ligation. A blended didactic and project-based approach will enable students to develop skills in reading and understanding the scientific literature, oral presentation, illustration of scientific concepts, and scientific writing.

Graduate

• CHEM 53300 Introductory Biochemistry (3 cr.) P: CHEM-C 342 or equivalent. A rigorous one-semester introduction to biochemistry.

• CHEM 54200 Inorganic Chemistry (3 cr.) P: CHEM-C 362 or equivalent or consent of instructor. Atomic structure; periodic trends and properties of the elements. Introduction to symmetry and group theory. Valence bond, molecular orbital, and ligand field theories of bonding and their application to structure and properties of inorganic and organometallic compounds. Spectroscopic properties and acid-base, oxidation-reduction, and coordination reactions of inorganic compounds. Advanced topics in main group or transition element chemistry.

• CHEM 57500 Intermediate Physical Chemistry (3 cr.) P: CHEM-C 362 or equivalent. Quantum theory of atoms and molecules, theories of chemical bonding, molecular spectroscopy, methods for determining molecular structure, and electrical and magnetic properties.

• CHEM 59000 Special Topics in Chemistry (3 cr.) Fall, Spring. Lecture courses offered on topic areas that are not part of the regular graduate curriculum. Repeatable up to 2 times.

• CHEM 59900 Special Assignments (1-4 cr.) P: Consent of instructor. Every semester including summer I and II, time arranged. Directed reading or special work not included in other courses.

• CHEM 62100 Advanced Analytical Chemistry (3 cr.) P: CHEM-C 310 and CHEM-C 410. A critical survey of recent developments in chemical and instrumental methods of analysis.

• CHEM 62900 Chromatographic Methods of Analysis (3 cr.) P: CHEM-C 410 or equivalent or consent of instructor. Principles and practice of modern gas and liquid chromatography and capillary electrophoresis are developed from an integrated point of view. Emphasis is placed both on theory and on features useful for practical analytical separations.

• CHEM 63400 Biochemistry: Structural Aspects (3 cr.) P: CHEM-C 310, CHEM-C 342, CHEM-C 361, and CHEM-C 362 or equivalent. Chemistry of materials of biochemical interest: carbohydrates, lipids, proteins, amino acids, nucleic acids, porphyrins, biochemistry of blood.

• CHEM 63600 Biochemical Mechanisms (3 cr.) P: One year of physical chemistry and CHEM 65100. The chemical basis of enzymatic catalysis with particular emphasis on catalytic interactions important in aqueous media.

• CHEM 64100 Advanced Inorganic Chemistry (3 cr.) P: CHEM-C 430 or CHEM 54200 or equivalent or consent of instructor. Applications of symmetry and group theory to structure, bonding and spectral properties of inorganic compounds. Advanced topics in main group and transition element chemistry including determination of structure from physical and spectroscopic properties, bonding in coordination, and organometallic compounds and inorganic reaction mechanisms.

• CHEM 65100 Advanced Organic Chemistry (3 cr.) P: CHEM-C 342 or equivalent. Modern structural organic chemistry. Introduction to bonding theory, stereochemistry, and computational chemistry.

• CHEM 65200 Synthetic Organic Chemistry (3 cr.) P: CHEM 65100 or CHEM 65700. An advanced treatment of methods for preparing major types of organic functionalities and bonds, stressing stereo- and regio-chemical control, and employing mechanistic organic chemistry for understanding choice of reagents and reactions conditions

• CHEM 65700 Reaction Mechanisms (3 cr.) P: CHEM-C 342 or equivalent or consent of instructor. Modern structural organic chemistry, introduction to physical organic chemistry, mechanisms of representative reactions, and methods used for understanding reactivity in organic transformations.

• CHEM 67200 Quantum Chemistry (3 cr.) P: One year of physical chemistry. Basic principles of classical and quantum mechanics, approximation methods, atomic structure, spectroscopy, application of group theory, and theory of molecular bonding.

• CHEM 67500 Chemical Kinetics (2-3 cr.) P: One year of physical chemistry. Experimental and theoretical considerations of chemical reaction rates and mechanisms.

• CHEM 68200 Statistical Thermodynamics (3 cr.) P: CHEM-C 362 or equivalent. Application of statistical mechanics to the description of imperfect gases, liquids, and solutions, and to order-disorder phenomena in solids and surfaces; Monte Carlo techniques and molecular dynamics.

• CHEM 69500 Seminar (0-1 cr.)

• CHEM 69600 Special Topics in Chemistry: Analytical Spectroscopy (1-3 cr.) P: Bachelor of Science in chemistry from an accredited institution or consent of instructor. Survey of modern techniques, applications of spectroscopy, and imaging in analytical chemistry.

• CHEM 69600 Special Topics in Chemistry: Electroanalytical Chemistry (3 cr.) Principles of modern methods of electroanalytical chemistry and quantitative applications to electrode reaction mechanisms and analytical determinations.

• CHEM 69600 Special Topics in Chemistry: Applied Computational Chemistry and Molecular Modeling (1-3 cr.) Applied computational techniques that are widely used in the chemical and pharmaceutical industry, including computational chemistry, molecular modeling, and computer-aided synthesis.

• CHEM 69600 Special Topics In Chemistry: Bioanalytical Chemistry (3 cr.) Modern techniques for the study of biological macromolecules, such as protein and peptides, carbohydrates, DNA, RNA, and lipids, including (1) spectroscopy (UV-Vis, Raman, NMR, mass spectrometry, and light scattering); (2) bioseparations (chromatography, electrophoresis, and microdialysis); (3) electrochemistry (sensors, electron transfer, and LCEC); and (4) miscellaneous topics (amino acid analysis, sequencing, microcalorimetry, and immunochemistry).

• CHEM 69600 Special Topics in Chemistry: Biochemistry-Dynamic Aspects (1-3 cr.) Mechanisms of biological catalysis, metabolism, biosynthesis, regulation of genetic information, and molecular biology.

• CHEM 69600 Special Topics in Chemistry: Bioelectrochemistry (1-3 cr.) Principles of electrochemical measurements including potentiometry, amperometry, and linear sweep and cyclic voltammetry and application to the study and utilization of biological molecules. Topics covered include redox transformations in biological systems, electron transfer between electrodes and biological molecules, and electrochemical sensors for detection and quantitation of biological analytes.

• CHEM 69600 Special Topics in Chemistry: Bioinorganic Chemistry (1-3 cr.) A study of the occurrence, properties, and mechanistic roles of transition and main group elements in biological processes including photosynthesis, oxygen evolution, respiration, nitrogen fixation, metabolic detoxification, and electron transfer.

• CHEM 69600 Special Topics in Chemistry: Bioorganic Chemistry (1-3 cr.) Structure and reactivity of biological macromolecules, such as proteins, enzymes, and nucleic acids, and their relevance to bioorganic chemistry. Current experimental studies of enzymes, nucleic acids, and model systems.

• CHEM 69600 Special Topics in Chemistry: Biomaterials (1-3 cr.) Introduction to the field of biomaterials science including chemistry, physics, and engineering of biomaterials; biological and biochemical aspects of biomaterials; and biomaterials in medicine.

• CHEM 69600 Special Topics in Chemistry: Biophysical Chemistry (1-3 cr.) The study of structure and properties of biologically important macromolecules in solution using physical techniques, with special emphasis on optical, fluorescence, and magnetic resonance spectroscopy to describe protein conformation, denaturation, catalytic center structure, thermodynamics of ligand binding, time dependent processes, and membrane properties.

• CHEM 69600 Special Topics in Chemistry: Chemical Information Technology (1-3 cr.) Overview of chemical informatics techniques, including chemical information and data systems, chemical structure and data representation and search systems, and bioinformatics techniques.

• CHEM 69600 Special Topics in Chemistry: Medicinal Chemistry (1-3 cr.) The application of basic concepts of organic chemistry, biochemistry, and pharmacology to the design of organic medicinal agents as well as recent advances in synthesis and evaluation of pharmaceuticals.

• CHEM 69600 Special Topics in Chemistry: Organometallics in Organic Synthesis (1-3 cr.) Recent developments in the use of transition metals in synthetic organic methodology. Emphasis is placed on applications of methods in the synthesis of complex organic molecules.

• CHEM 69600 Special Topics in Chemistry: Protein Structure and Function (1-3 cr.) Physical forces stabilizing protein structure; protein folding. Essential features of macromolecular interactions. Introduction to enzyme kinetics and chemical mechanism in enzyme reactions.

• CHEM 69600 Special Topics in Chemistry: Group Theory in Chemistry (1-3 cr.) This course is on molecular symmetry and how we obtain information about the quantum states of molecules through application of group theoretical techniques related to the symmetries of molecules.

• CHEM 69600 Special Topics in Chemistry: Solid-Phase Synthesis and Combinatorial Chemistry: Theory and Practice (1-3 cr.) This course will explore how the tools of solid-phase synthesis and combinatorial chemistry are being used to solve a wide variety of problems requiring chemical solutions. Examples range from medicinal chemistry and drug discovery to new catalyst creation, from new "chiral selectors" to new biochemical probes. The course will focus on the rationale for employing a combinatorial approach in chemical discovery. It will teach the basics of solid-phase organic chemistry, and the methodology, equipment, and analytical technology employed to use it as a tool to rapidly and effectively carry out a combinatorial approach to problem solving.

• CHEM 69800 Research M.S. Thesis (Arr. cr.) Research M.S. Thesis

• CHEM 69900 Research Ph.D. Thesis (Arr. cr.) Research Ph.D. Thesis

Psychology

Undergraduate Level

• PSY-B 110 Introduction to Psychology (3 cr.) Equiv. to IU PSY-P 155 and PU PSY 12000. This foundational course introduces students to psychology as a systematic and scientific way to think about the biological and social aspects of behavior and mental processes. Topics include Research Methods, Behavioral Neuroscience, Sensation/Perception, Learning, Memory, Cognition and Language, Motivation/Emotion, Personality, Social, Stress and Health, Psychological Disorders and Treatment, and Life-span Development.

• PSY-B 201 Foundations of Neuroscience (3 cr.) P: PSY-B 110 or BIOL-K 101. An introduction to neuroscience that explores how our brains develop, how they work, and how they are changed by life experiences. Topics include neural communication, localization of brain function, neural systems, and control of behavior.

• PSY-B 203 Ethics and Diversity in Psychology (3 cr.) P: PSY-B110 or equivalent. This course introduces students to values and professional issues in psychology, with an emphasis on ethics and diversity. Students will learn to recognize the importance of ethical behavior in all aspects of science and practice of psychology and that sociocultural factors and personal biases may shape research and practice.

• PSY-B 252 Topics in Psychology (1-3 cr.) Topics in psychology and interdisciplinary applications. May be repeated provided different topics are studied, for a maximum of 4 credit hours.

• PSY-B 292 Readings and Research in Psychology (1-3 cr.) P: Consent of instructor. Independent readings and research on psychology problems. For freshmen and sophomores only.

• PSY-B 301 Systems Neuroscience (3 cr.) P: PSY-B 201. This course focuses on how our brains allow us to sense, move, feel, and think, with an emphasis on modern concepts and methods in integrative neuroscience. Topics include sensory and motor systems, motivation and emotion, brain rhythms, language, brain development, and learning and memory. This course is intended for students earning a major or minor in neuroscience. Psychology majors should take PSY-B 320 unless they plan to also major or minor in neuroscience. Credit given for only one of PSY-B 301 or PSY-B 320.

• PSY-B 303 Career Planning for Psychology Majors (1 cr.) P: PSY-B110 or equivalent. Equiv. to IU PSY-P199. Students will explore careers, practice job search skills, and learn about graduate and professional school application processes. Students will utilize resources across campus and in psychology, map an academic and co-curriculuar plan, and develop an understanding of how knowledge gained from the discipline of psychology can be integrated into their career.

• PSY-B 305 Statistics (3 cr.) P: PSY-B110 or equivalent and 3 credits of mathematics that carry School of Science credit. Equivalent to IU PSY-K 300, PSY-K 310, and PU PSY 20100. Introduction to basic statistical concepts; descriptive statistics and inferential statistics. Introduction to data analytic software.

• PSY-B 307 Tests and Measurement (3 cr.) P: PSY-B110 or equivalent and PSY-B305. Equivalent to IU PSY-P 336 and PU PSY 20200. Overview of statistical foundations of psychological measurement (e.g., test development, norms, reliability, validity). Survey of commonly used assessment instruments (e.g., intelligence/aptitude, personality, academic achievement tests) and applications of psychological testing in different settings (e.g., clinical, industrial/ organizational, school, forensic/legal settings). Recommended for students considering graduate training in clinical, industrial/organizational, school, or related areas of psychology.

• PSY-B 310 Life Span Development (3 cr.) P: PSY-B110 or equivalent. Equivalent to PU PSY 23000. Emphasizes the life span perspective of physical and motor, intellectual and cognitive, language, social and personality, and sexual development. Commonalities across the life span, as well as differences among the various segments of the life span, are examined. Theory, research, and practical applications are stressed equally.

• PSY-B 311 Research Methods in Psychology (3 cr.) P: PSY-B110 or equivalent and PSY-B 305. Equiv. to IU PSY-P 211, and PU PSY 20300. Introduction to the science of psychology and to the basic research methods that psychologists use to study thoughts, feelings, and behavior. Topics include measurement, research design (descriptive, correlational, experimental), scientific writing, and ethical issues. By the end of the course, you should be ready to design and analyze your own research.

• PSY-B 320 Behavioral Neuroscience (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 326 and PU PSY 22000. This course focuses on how behavior emerges from the organ that produces it, the brain. Topics include evolution and anatomy of the brain, neurophysiology, how brain networks function, and what happens to behavior when the brain has problems. A better understanding of structure-function relationships within the central and peripheral nervous system will be achieved through examples from human neuropsychology and animal behavior. Students pursuing a major or minor in Neuroscience are required to take PSY-B201 plus PSY-B301 in lieu of PSY-B320.  Credit given for only one of PSY-B301 or PSY-B320.

• PSY-B 322 Introduction to Clinical Psychology (3 cr.) P: PSY-B110 or equivalent A survey of various aspects of the practice of clinical psychology from a scientist-practitioner perspective. Aspects of the historical framework of clinical psychology will be discussed. In addition, various aspects of the present state of clinical psychology will be covered in addition to directions for the future.

• PSY-B 334 Perception (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 329 and PU PSY 31000. Consideration of the concepts and research in perception. Relation of sense organ systems to human behavior. Some attention to social and cultural factors.

• PSY-B 340 Cognition (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 335 and PU PSY 20000. A survey of information processing theories from historical antecedents through current theories. Research methodology and theory will be emphasized throughout the discussion of issues such as perception, attention, memory, reasoning, and problem solving.

• PSY-B 344 Learning (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 325 and PU PSY 31400. History, theory, and research involving human and animal learning and cognitive processes.

• PSY-B 346 Theories of Personality (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 319 and PU PSY 42000. Methods and results of the scientific study of personality, including the development, structure, and functioning of the normal personality.

• PSY-B 356 Motivation (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 327 and PU PSY 33300. Study of motivational processes in human and animal behavior, how needs and incentives influence behavior, and how motives change and develop.

• PSY-B 358 Introduction to Industrial/Organizational Psychology (3 cr.) P: PSY-B110 or equivalent. Equiv. to IU PSY-P 323 and PU PSY 37200. This course surveys various aspects of behavior in work situations using the scientist-practitioner perspective. Traditional areas covered from personnel psychology include selection, training, and performance appraisal; areas surveyed from organizational psychology include leadership, motivation, and job satisfaction.

• PSY-B 360 Child and Adolescent Psychology (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 316 and PU PSY 23500. Development of behavior in infancy, childhood, and adolescence, including sensory and motor development and processes such as learning, motivation, and socialization.

• PSY-B 365 Health Psychology (3 cr.) P: PSY-B110 or equivalent. This course will familiarize students with the study of physical health within the field of psychology. Topics include the relationship between stress and health, health promotion, health behaviors, chronic illness, and the patient-physician relationship. Research methods in health psychology as well as major theories underlying the field will be examined and evaluated. Psychological variables related to physical health will be examined within the framework of these theories. Practical application of constructs will be emphasized through activities and writing assignments.

• PSY-B 366 Concepts and Applications in Organizational Psychology (3 cr.) P: PSY-B 358. Some organizational psychology topics introduced in the I/O psychology survey course are covered in more depth. Advanced information is presented for each topic, and students have the opportunity for several different hands-on applications, including case projects and computer exercises. Example topics are organizational culture, employee attitudes, motivation, and leadership.

• PSY-B 368 Concepts and Applications in Personnel Psychology (3 cr.) P: PSY-B 358. Some personnel psychology topics introduced in the I/O psychology survey course are covered in more depth. Advanced information is presented for each topic, and students have the opportunity for several different hands-on applications, including case projects and computer exercises. Example topics are job analysis, selection, performance appraisal, and training.

• PSY-B 370 Social Psychology (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 320 and PU PSY 24000. Study of the individual in social situations including socialization, social perception, social motivation, attitudes, social roles, and small group behavior.

• PSY-B 375 Psychology and Law (3 cr.) P: PSY-B110 or equivalent. This course provides an overview of the U.S. legal system from a behavioral science perspective. Topics include: careers in psychology and law; theories of crime; police investigations and interrogations; eyewitness accuracy; jury decision-making; sentencing; assessing legal competence; insanity and dangerousness; and the psychology of victims.

• PSY-B 376 The Psychology of Women (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 460 and PU PSY 23900. A survey of topics in psychology as related to the biological, social, and psychological development of women in modern society.

• PSY-B 380 Abnormal Psychology (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU PSY-P 324 and PU PSY 35000. Various forms of mental disorders with emphasis on cause, development, treatment, prevention, and interpretation.

• PSY-B 385 Positive Psychology (3 cr.) P: PSY-B110 or equivalent. Equivalent to IU EDUC-G 355. This course is an introduction to Positive Psychology. The two main goals are for students to (1) learn about the content and science that informs Positive Psychology, and (2) apply in their own lives empirically-validated strategies that help people develop a happier and more meaningful life. This course will include a positive view of human functioning and a review of research and practices in Positive Psychology. Emphasis will be placed on science and its applications with regard to topics such as human strengths and values, neuroscience as it relates to happiness/mindfulness, gratitude, cultural (eastern/western) aspects of happiness/values, process vs. outcome, optimism, the new field of self-compassion, positive affect, coping, friendship and love, spirituality, and resilience.

• PSY-B 386 Introduction to Counseling (3 cr.) P: PSY-B110 or equivalent, PSY-B 310, and PSY-B 380. This course will help students acquire a repertoire of basic counseling interview skills and strategies and expose students to specific helping techniques. This will be an activity-based course and students will enhance the general-education goals of listening and problem solving.

• PSY-B 394 Drugs and Behavior (3 cr.) P: PSY-B110 or equivalent. Equivalent to PU PSY 42800. An introduction to psychopharmacology, the study of drugs that affect behavior, cognitive functioning, and emotions, with an emphasis on drugs of abuse. The course will explore how drugs alter brain function and the consequent effects, as well as the long-term consequences of drug exposure.

• PSY-B 396 Alcoholism and Drug Abuse (3 cr.) P: PSY-B110 or equivalent. Introduction to the use and abuse of alcohol and other psychoactive drugs. Topics include theories of alcohol and other drug use, neurobiology, and the factors that influence use, abuse, and addiction. Addiction assessment, recovery, treatment, relapse, and prevention are also covered.

• PSY-B 398 Brain Mechanisms of Behavior (3 cr.) P: PSY-B 301 or PSY-B 320. An advanced topical survey of the neurobiological basis of behavior, focusing on the neural substrates and the cellular and neurochemical processes underlying emotions, motivation and goal-directed behavior, hedonic experience, learning, and cognitive function. Integrates experimental research across different levels of analysis (genetic, molecular, cellular, neural systems).

• PSY-B 421 Internship in Psychology (1-3 cr.) P: Consent of instructor, PSY-B 103, PSY-B 104, PSY-B 305 and three additional credit hours of psychology. A professional internship that allows students to apply psychological knowledge and skills to a specific work setting, develop work related skills, explore career options and gain experience in a field of interest.

• PSY-B 422 Professional Practice (1 - 3 cr.) P: Faculty or staff must approve and oversee activity. Registration is by permission only. For students who have applied for and are approved to be a Peer Advisor in the Psychology Advising Office or have been approved to be a Teaching Assistant for a psychology course.

• PSY-B 433 Capstone Laboratory in Psychology (3 cr.) P: PSY-B 305/B306, PSY-B 311/B312, at least two 300-level PSY foundation courses and senior standing. This advanced research course builds on the skills and knowledge students have acquired during their undergraduate education that will enable them to conduct a team research project in a specialized area of psychology in order to further develop and consolidate their understanding of psychology as a science.

• PSY-B 452 Seminar in Psychology (1-3 cr.) P: PSY-B110 or equivalent. Topics in psychology and interdisciplinary applications. May be repeated, provided different topics are studied, for a maximum of 6 credit hours.

• PSY-B 454 Capstone Seminar in Psychology (3 cr.) P: PSY-B 305/306, PSY-B 311/B312, at least two 300-level PSY foundation courses and senior standing. Topics in psychology and interdisciplinary applications, which have been approved to fulfill the capstone course requirement.

• PSY-B 456 Capstone Service Learning in Psychology (3 cr.) P: PSY-B 305/B306 and PSY-B 311/B312; and at least two of the following: PSY-B 310, PSY-B 320, PSY-B 340, or PSY-B 370; and Senior Standing. The primary goal of the course is to provide an opportunity for students to integrate and apply the content and discipline-specific ways of thinking from their program of study within the context of service learning. This course is designed to connect service experiences, psychology content knowledge, and critical reflection. As such, community engagement is enhanced, academic concepts are more deeply understood, and personal growth is facilitated.

• PSY-B 482 Capstone Practicum in Clinical Psychology (3 cr.) P: PSY-B 305/B306, PSY-B 311/B312, PSY-B 386, at least two 300-level PSY foundation courses, senior standing and consent of instructor. Application is required. Students are placed in a clinical/community setting and gain applied practicum experience working with individuals who have psychological, medical, and/or physical health problems. Relevant multicultural issues will be addressed.

• PSY-B 492 Readings and Research in Psychology (1-3 cr.) P: Consent of instructor. Equivalent to IU PSY-P 495 and PU PSY 39000 and PSY 39100. Gain hands-on research experience in a research lab or with an independent research project mentored by an instructor in the psychology department. For highly motivated students who are planning to attend graduate school or work in a field that requires a solid foundation in research. Projects need to be pre-arranged with faculty and registration is by permission only.

• PSY-B 499 Capstone Honors Research (ARR. cr.) P: PSY-B 305/B306, PSY-B 311/B312, at least two 300-level PSY foundation courses, senior standing and consent of instructor. Application is required. Equivalent to IU PSY-P 499. Independent readings and research resulting in a research paper.

• PSY-B 306 Statistics Laboratory (1 cr.) P: PSY-B110 or equivalent and 3 credits of mathematics that carry School of Science credit. C: PSY-B305 The goal of this laboratory course is to orient students to analyzing data using the statistics they are learning in PSY-B305.  Statistical concepts and competencies to be developed in this course include, descriptive statistics, hypothesis testing, t-tests, correlation and regression.

• PSY-B 312 Research Methods in Psychology (2 cr.) P: PSY-B110 or equivalent and PSY-B305/PSY-B306. C: PSY-B311 This lab is designed to teach the research process one step at a time.  These steps include conceptualizing and structuring scientific questions, learning how to obtain pertinent but credible sources of information, referencing prior research, articulating a research hypothesis, constructing a method to test the hypothesis, and carrying out a research study.  Finally, students learn how to communicate their results via APA-formatted written reports and by oral and poster presentations.

• PSY-B 434 Capstone Laboratory in Behavioral Neuroscience (3 cr.) P: PSY-B201 and PSY-B301 This Capstone Laboratory is for seniors who are neuroscience majors. The goals are to enhance critical thinking skills in experimental approaches to behavioral neuroscience, understand translational neuroscience through model systems, develop more advanced understanding of quantitative and analytic approaches to studying the links between brain and behavior, promote the ability to evaluate and communicate essential knowledge about neuroscience relevant to society, develop skills in collaborative learning, and generate career development tools with an e-Portfolio.

Graduate Level

• PSY 51800 Memory and Cognition (3 cr.) A graduate-level survey of theories and research concerned with the acquisition, retention, and retrieval of information. Topics include amnesia, eyewitness memory, forgetting, developmental trends in memory, related issues in attention, language processing, and problem solving.

• PSY 54000 History of Psychology (3 cr.) P: Nine (9) credit hours of psychology. A review of the philosophical, theoretical, and methodological issues that entered into the development of modern psychology. Emphasis on historical themes that continue to be active in the science and profession of psychology.

• PSY 56500 Interpersonal Relations (3 cr.) P: Nine (9) credit hours of psychology. Review of major current theoretical formulations of the interpersonal relationship, including a discussion of some of the more prominent research. Focus is primarily on two-person interpersonal relations.

• PSY 57000 Staffing (3 cr.) Spring. This seminar course will introduce students to HR practices associated with bringing new members into organizations. Topics covered include recruitment, procedures for assessing the individual differences of applicants, models used to make selection decisions, and legal considerations associated with personnel selection (e.g., discrimination and affirmative action). The course will focus on theory and empirical research related primarily to the fields of industrial/organizational psychology and management.

• PSY 57200 Organizational Psychology (3 cr.) A survey of basic behavioral science research and thinking as these contribute to the understanding of individual, dyadic, group, intergroup, and other large organization behavioral phenomena. The topics covered include motivation, perception, attitudes and morale, communication, leadership, conflict, problem solving, behavior change, and organizational effectiveness.

• PSY 57400 Psychology of Industrial Training (3 cr.) P: Three (3) credit hours of psychology. Use of psychological measurement techniques in assessing training needs and evaluating training effectiveness and the application of learning research and theory to industrial training.

• PSY 57600 Human Resource Development (3 cr.) Spring. This is a graduate level course intended for individuals who are seeking advanced training in the science and practice of employee development. Employee Development is construed broadly in this course to include performance management and employee training. Students will be exposed to the critical extant literature, to best practices in the development of these human resources systems in organizations, and will gain applied experience through course projects.

• PSY 59000 Individual Research Problems (1-3 cr.) P: Twelve (12) credit hours of psychology and consent of instructor. Opportunity for students to study particular problems in any field of psychology or to learn research techniques under the guidance of a faculty member.

• PSY 60000 Statistical Inference (3 cr.) P: Student must be a degree-seeking student in psychology graduate program or have consent of instructor and B305 or equivalent. Emphasis on principles underlying both parametric and nonparametric inference.

• PSY 60100 Correlation and Experimental Design (3 cr.) P: 600. Continuation of 600, with emphasis on the design and analysis of experiments.

• PSY 60500 Applied Multivariate Analysis (3 cr.) P: 600. A survey of the most frequently employed multivariate research techniques, such as multivariate generalizations of univariate tests and analysis of variance, principal components, canonical analysis, and discriminant analysis. A central theme of the course is the general linear model, both univariate and multivariate. A multipurpose program for this model provides the student with practical experience in conducting multivariate research.

• PSY 60800 Measurement Theory and the Interpretation of Data (3 cr.) P: 600 and B307, or equivalent. The theory of measurement and the development of reliability and the Spearman-Brown equations, true scores and variables, and correction for attenuation. Variance or covariance of combinations of variables. Item analysis and test construction strategies. Reliability and validity of measurements and the influence of measurement error and measurement threats to research design.

• PSY 61100 Factor Analysis (3 cr.) P: 600. Theory and applications of factor analysis in psychological research.

• PSY 61500 Introduction to Psychobiology (3 cr.) P: Consent of instructor. A survey of the integrated neurosciences emphasizing physiological psychology. Neural processes of sensory and motor function, arousal and sleep, motivation, learning and memory, language function, and personality disorders will be presented with selected coverage of neuroanatomy, neurophysiology, neuropharmacology, and neuroendocrinology. Both normal and pathological functions will be covered.

• PSY 62200 Animal Learning (3 cr.) A survey of the methods, problems, and research in Pavlovian, instrumental, and operant conditioning. Current issues and attempts at theoretical integration are highlighted. Emphasis is also given to the empirical and conceptual foundations of the present views on the mechanisms governing learned behavior.

• PSY 62400 Human Learning and Memory (3 cr.) P: A first course in human learning and consent of instructor. Selected survey of important problems in the encoding, storage, and retrieval of laboratory and naturalistic events.

• PSY 62800 Perceptual Processes (3 cr.) This course is an advanced introduction to the psychology of perception. The course emphasizes visual and auditory perception, reviewing basic concepts, methodologies, research findings, and theoretical approaches. Theories of direct perception, constructivist perception, and computational vision are discussed in detail.

• PSY 64000 Survey of Social Psychology I (3 cr.) P: B370 or equivalent. An extensive survey of methods, research, and theory in social psychology.

• PSY 64600 Seminar in Social-Personality Psychology (3 cr.) 646 Seminar in Social-Personality Psychology (3 cr.) P: consent of instructor. A seminar covering a special topic in personality or social psychology. Specific topic varies from seminar to seminar.

• PSY 65500 Cognitive Development (3 cr.) P: consent of instructor. An analysis of research findings and current theories relevant to the development of cognitive processes. Emphasis on the changing characteristics of some fundamental cognitive processes. Special attention is given to verbal behavior and language.

• PSY 68000 Seminar in Industrial-Personnel Psychology (3 cr.) P: 570, 572, and 601. Extensively surveys the various areas of industrial-personnel psychology (e.g., selection, placement, training, performance appraisal). Provides a critical and up-to-date review of recent and classical research in these areas.

• PSY 68100 Seminar in Research Methodologies of Industrial/Organizational Psychology (3 cr.) P: 57000, 57200, 60100, or consent of instructor. Intensive analysis of application of various research and statistical methods to the study of human behavior in organizational settings.

• PSY 68200 Advanced Seminar in Industrial/Organizational Psychology (3 cr.) P: 57000, 57200, or equivalent. Special topics in industrial and organizational psychology are offered on a rotating basis. Examples of the special topics are work motivation, leadership, advanced selection and placement, and performance appraisal. One topic will be treated each semester.

• PSY 68300 Seminar in Industrial-Social Psychology (3 cr.) P: 57000, 57200, or equivalent. Study of research and theory emphasizing social perception, attitudes, supervisory behavior, employee participation, motivation, and organizational structure.

• PSY 68400 Practicum in Industrial/Organizational Psychology (3 cr.) P: 570, 572, and consent of instructor. Practical experience in the development and implementation of field research in organizational settings. Gives students the opportunity to spend eight hours per week in local business organizations to gain experience and skills in industrial/organizational psychology.

• PSY 69800 Research M.S. Thesis (3 cr.) 698 Research M.S. Thesis (3 cr.)

• PSY 69900 Research Ph.D. Thesis (0-12 cr.) 699 Research Ph.D. Thesis (0-12 cr.)

• PSY-G 901 Advanced Research (6 cr.)

• PSY-I 501 Multicultural Counseling (3 cr.) I501 Multicultural Counseling (3 cr.) P: graduate standing. This course explores the role of increasing diversity in the U.S. population and how it will affect the delivery of mental health services. The focus of the course is on different ethnic and minority groups, their customs and values, and the impact that these cultural factors have on the utilization of psychological services.

• PSY-I 535 Clinical Neuroscience (3 cr.) P: consent of instructor. A primary goal of the course is to examine how psychology, neuroscience, pharmacology, and medicine come together to manage mental illness. Mental illness will be examined systematically and the nature of how biological alterations lead to aberrant behaviors that define psychopathology will be examined. The course will heavily discuss the ethics involved in the field of Clinical Neuroscience.

• PSY-I 544 Psychobiology of Learning and Motivation (3 cr.) P: B320 or equivalent. The course examines past and present biologically based theories of learned and motivated behavior. Neural processes of feeding, drinking, aggression, fear, anxiety, and sexual behavior will be emphasized. Selected coverage of behavioral research principles used to investigate these processes also will be discussed.

• PSY-I 545 Psychopharmacology (3 cr.) P: 615 or consent of instructor. A survey of the effects of drugs on behavior, cognitive functioning, and emotions. Emphasis will be placed on the practical advantages of understanding how psychotropic drugs work, and on how the brain functions in health and disease. Students will be exposed to the most current theories and research in the field.

• PSY-I 549 Introduction to Vocational Rehabilitation (3 cr.) P: Nine (9) credit hours of psychology. Philosophy, procedures, and practices underlying the vocational rehabilitation movement, including the historical, social, cultural, and economic factors and legislation that have contributed to its rapid development.

• PSY-I 555 Medical and Psychosocial Aspects of Chronic Illness (3 cr.) I555 Medical and Psychosocial Aspects of Chronic Illness (3 cr.) P: Nine (9) credit hours of psychology including I549. Provides medical information for rehabilitation counselors and introduces students to medical terminology. Includes knowledge of the etiology, prognosis, methods of treatment, and effects of disabling conditions, and implications for the rehabilitation counselor. Counselor relationships with other health-related personnel are emphasized.

• PSY-I 570 Drugs of Abuse (3 cr.) P: Graduate: None Undergraduate: Permission of instructor pending review of prior undergraduate course work. This course will cover the basic principles of the study of drugs of abuse, as well as focusing on particular drugs and drug classes. For each drug or drug class, we will discuss issues ranging from basic pharmacology to the social impact of the abuse of the particular substance. We will utilize a text book as well as current literature in the field, and critical examination of all course material will be encouraged.

• PSY-I 573 Occupational Health Psychology (3 cr.) P: Regular graduate standing in Psychology or permission of instructor. Fall, every other year. Occupational health psychology (OHP) is one of the most heavily researched areas within the work domain, although it is not well publicized in the traditional IO psychology domain. For instance, traditional topics in IO, such as job design (job characteristic model), person- environment fit, shift work, job stress, coping and adjustment, type A/B, safety climate, workplace violence, and so on, are covered in the OHP. This course provides an in depth treatment of this literature with the foci on occupational stress, violence, and safety.

• PSY-I 575 Psychology and Law Seminar (3 cr.) P: Permission of instructor. Fall, every other year. This seminar examines the relevance of social psychological and industrial/organizational (I/O) theory and research to various forensic contexts, including criminal and tortious behavior, police and other investigatory processes, evaluation of scientific and behavioral evidence, employment law issues, and the role of psychological consultants and expert witnesses.

• PSY-I 578 Occupational Analysis (3 cr.) P: 570. Survey of systematic study of human work, including techniques for analyzing jobs and occupations for personnel and related purposes. Survey of occupational research and related topics. Practice in job analysis.

• PSY-I 579 Foundations of Diversity Science (3 cr.) P: Regular graduate standing in Psychology or permission of instructor. Fall, every other year. Diversity science investigates the creation, consequences, and maintenance of group differences. This graduate-level seminar takes a sociocultural approach to diversity science questions at the micro-level of analysis, focusing on the psychological processes that give rise to intergroup behavior and individual strategies for addressing and coping with group-based biases and stigma.

• PSY-I 580 Survey of Clinical Approaches with Children and Adolescents (3 cr.) P: Nine (9) credit hours in psychology. Introduction to the following as they relate to children and adolescents: (1) psychopathological disorders and behavior problems, (2) theories of psychopathology and behavior problems, (3) evaluation techniques, and (4) therapeutic and behavioral change procedures. This is a lecture course.

• PSY-I 581 Gender Issues in the Workplace (3 cr.) P: Regular graduate standing in Psychology or instructor permission. Spring. This is a graduate seminar that examines women's (and by comparison, men's) experiences in the workplace, with a focus on intersectionality. Topics will span the psychological and related social science literature on gender issues in career interests, occupational decisions, work experiences, advancement, discrimination, and organizational interventions to address these issues.

• PSY-I 582 Survey of Clinical Approaches with Children and Adolescents (3 cr.) P: Regular graduate standing in Psychology or permission from instructor. Spring, every other year. Examines the importance of diversity in groups, discrimination and biases in organizations, minority and majority group reactions to different diversity initiatives, the unintended consequences of diversity initiatives, and the importance of empirically validating diversity interventions and trainings.

• PSY-I 583 Judgment and Decision Making in Organizations (3 cr.) P: Regular graduate standing in Psychology or instructor permission. Fall, as needed. This graduate seminar examines how decisions are made by individuals and groups in various organizational and institutional settings. Topics covered include how individuals process information, make judgments, and reach decisions; how groups reach decisions through interactive social processes; and how choices, decisions and plans are formulated by individuals and groups in selected real-world contexts (e.g., legal, medical, politics, sports, business, etc.). The course will rely heavily on theory and research in psychology, but also draw on the scholarly literature in related social science fields (e.g., sociology).

• PSY-I 591 Psychopathology (3 cr.) P: enrollment in psychology graduate program or consent of instructor. An intensive survey of the methods, theories, and research concerning the nature, causes, and development of psychopathology. An evaluation of current systems of assessment and classification of abnormal behavior is emphasized.

• PSY-I 595 Seminar in Teaching Psychology (0-3 cr.) P: consent of the Department of Psychology. A problem-solving approach to teaching psychology at IUPUI. Planning the course; anticipating problems; and dealing with ongoing teaching problems. Current faculty members will present their innovative techniques. Participants will evaluate each other's classroom performance.

• PSY-I 613 Psychiatric Rehabilitation (3 cr.) P: consent of instructor. A seminar examining recent developments in the rehabilitation of persons with severe psychiatric disabilities. Covers assertive case management, vocational approaches, clubhouse models, residential alternatives, psychoeducation, and the consumer movement. Field observations complement classroom instruction. Issues in program planning and cost effectiveness will be discussed.

• PSY-I 614 Behavioral Medicine in Rehabilitation (3 cr.) P: Consent of instructor. The theory and practice of behavioral medicine will be explored. Emphasis is on the application of behavioral principles to individuals suffering from various chronic diseases or disabilities including spinal cord injury, chronic pain, cancer, diabetes, strokes, cardiovascular diseases, and epilepsy.

• PSY-I 618 Interventions in Health Psychology (3 cr.) P: consent of instructor. The goal of the course is to familiarize students with clinical interventions and research relevant to health problems and lifestyle. This will enable students to critically evaluate the work that has been accomplished, and to design and implement intervention protocols.

• PSY-I 643 Field Methods and Experimentation (3 cr.) P: 600. Covers methods appropriate for field experimentation and program evaluation. Topics will include quasi-experimental designs, sampling procedures, and issues associated with program evaluation.

• PSY-I 647 Attitudes and Social Cognition (3 cr.) P: Regular graduate standing in Psychology or permission of instructor. This graduate-level seminar provides an overview of contemporary social psychological theory and research, emphasizing the social-cognitive, affective, and motivational processes underlying attitudes, social inference, stereotyping, prejudice, and self-regulation. Class discussion will focus on the application of this research to promote prosocial and prevent antisocial behaviors affecting individuals, organizations, and society.

• PSY-I 650 Developmental Psychology (3 cr.) Major concepts, principles, and facts concerning the biological and environmental influences on behavioral and psychological development. Particular emphasis on essential principles of ontogenetic development (lifespan) emerging from current research in genetics and psychology.

• PSY-I 664 Psychological Assessment in Rehabilitation I (3 cr.) P: consent of instructor. Presentation of general principles of psychological assessment, professional practice, interviewing, intelligence/cognitive assessment, and psychological report writing. Supervised practice in the development of direct service skills in interviewing, behavioral observation, and psychometric assessment of cognitive abilities. Emphasis on functional implications of test results for rehabilitation populations.

• PSY-I 665 Intervention I: Counseling Approaches (3 cr.) P: Consent of instructor. Introduces doctoral students to intervention procedures used in rehabilitation psychology. The course has both didactic and clinical skills components, involving traditional counseling interventions, behavior therapy, and biofeedback. Applications to disabled populations will be emphasized.

• PSY-I 666 Intervention II: Cognitive Behavioral Interventions (3 cr.) P: consent of instructor. Theory, research, and clinical application of cognitive-behavioral therapy (CBT). Addresses the history and development of CBT, assessment and intake interview process, CBT intervention techniques, and CBT treatment of several disorders. Relevant multicultural issues will also be discussed.

• PSY-I 669 Psychological Assessment in Rehabilitation II (3 cr.) P: I664 and consent of instructor. Presentation of psychometric foundations and the basic prediction model in personality/interest assessment. Coverage of the history of personality, assessment, personality development, and supervised clinical practice in personality/interest assessment in rehabilitation. Emphasis on prediction of everyday functioning.

• PSY-I 670 Ethical, Legal, and Cultural Issues in Psychology (3 cr.) P: admission to graduate training in psychology or consent of instructor. Exploration of models of ethical decision making. Examination of ethical principles and legal mandates that apply to professional psychology including psychologists' roles in health care service delivery, consultation (clinical and organizational), research, and teaching. Examination of cultural issues, including issues related to ethnicity, age, gender, religion, and sexual orientation.

• PSY-I 675 Human Neuropsychology (3 cr.) P: Admission to graduate training in psychology or consent of instructor. Review of essential neuroanatomy, survey of experimental and correlational research methods in the study of brain-behavior relationships, and overview of the history of neuropsychology. Critical examination of neural models for human behavior: hemispheric specialization and integration, sensation/perception, motor skills, language, spatial processing, attention, memory, executive operations, and gender differences.

• PSY-I 676 Principles of Clinical Neuropsychology (2 cr.) P: Addmission to graduate training in clinical psychology or consent of instructor.  Application of theoretical models of brain-behavior relationships to evaluation of patients with suspected nervous system disorders. Review of neuropsychological profiles associated with various neurological and psychiatric disorders. Examination of ethical/cultural issues in neuropsychological evaluation. This course does not provide training in test administration (see PSY I677).

• PSY-I 677 Neuropsychological Assessment Lab (1 cr.) P: I664 and I669 and admission to graduate training in clinical rehabilitation psychology. Students must register for I676 concurrently with I677. Training and supervised practice in neuropsychological assessment techniques and procedures. Critical review of the psychometric properties of prevailing assessment tools. Review models of interpretation/reporting. Development of proficiencies in administering prominent neuropsychological tests, neuropsychological interviewing, and writing of reports that integrate multidisciplinary data.

• PSY-I 685 Professional Seminar in Applied Social and Organizational Psychology (1 cr.) P: Regular graduate standing in the (to be proposed) Applied Social and Organizational Psychology graduate program. This graduate professional seminar is designed to facilitate the professional development of graduate students in the Applied Social and Organizational Psychology program. A presentation or discussion will occur each week although the topics will vary. Presentations will be conducted by outside speakers, faculty and/or graduate students on both applied and research oriented topics. Doctoral candidates will present their dissertation work during the third or fourth year. In addition, during facilitated discussions the students will review newly published research and address ethics in our discipline.

• PSY-I 689 Practicum in Clinical Rehabilitation Psychology (3 cr.) P: I549 and consent of instructor. Supervised practice of rehabilitation psychology in a community agency or organization.

• PSY-I 691 Seminar in Clinical Rehabilitation Psychology (3 cr.) P: consent of instructor. Current trends, problems, and developments in rehabilitation. Students pursue a special interest and share information and experience with the group. Individual reports and group discussions.

• PSY-I 697 Internship in Clinical Psychology (0-9 cr.) P: consent of instructor. Opportunities for application of theory and practice of rehabilitation psychology and case management in a rehabilitation setting under supervision of the Department of Psychology and the agency.

Computer and Information Science

Undergraduate

• CSCI-N 100 Introduction to Computers and Computing (3 cr.) P: or C: MATH 001, M001, or equivalent. No computing experience assumed. How computers work, word processing, spreadsheets, file management, and Internet skills. Emphasis on problem-solving tech-niques. Lecture and laboratory. Credit given for only one of CSCI-N 100, CPT 10600, CIT 10600, or BUS-K 201.

• CSCI-N 199 Introductory Computing Topics (topic varies) (1-3 cr.) Seminars in emerging technologies. May be repeated for credit.

• CSCI-N 200 Programming Concepts (3 cr.) Explore the Big Ideas of Computer Science (CS) and Computational Thinking (CT) through hands-on explorations with social networking, gaming, big data, robots, programming and more. Learn about the creativity, usefulness and breadth of Computer Science in a fun way that can enhance any field of study.

• CSCI-N 201 Programming Concepts (3 cr.) Summary of basic computing topics, problem solving techniques, and their application to computing. Introduction to programming concepts with a focus on language-independent principles, such as algorithm design, debugging strategies, essential control structures, and basic data structure concepts. Lecture and laboratory.

• CSCI-N 207 Data Analysis Using Spreadsheets (3 cr.) Summary of basic computing topics. An introduction to data analysis using spreadsheets. Emphasis on the application of computational problem-solving techniques. Lecture and laboratory.

• CSCI-N 211 Introduction to Databases (3 cr.) Summary of basic computing topics. Introduction to database design concepts, creation of user forms, development of databases, querying techniques, and building reports. Focus on relational database systems from development and administration point of view. Lecture and laboratory.

• CSCI-N 241 Fundamentals of Web Development (3 cr.) Introduction to writing content for the Internet and World Wide Web. Emphasis on servers, hand-coded HTML, Cascading Style Sheets, and extending HTML with other Web technologies. Lecture and laboratory.

• CSCI-N 299 Survey of Computing Applications (topic varies) (1-3 cr.) An introduction to an emerging technology in the computing field. It will emphasize the various problems technology helps to solve and specific problem-solving strategies. Lecture and laboratory. May be repeated for credit.

• CSCI-N 300 Mobile Computing Fundamentals (3 cr.) Survey of programming and application development for mobile computing devices. Topics include mobile technology, location-based technology, mobile security, mobile platforms, programming languages and application development for mobile devices. Lecture and Laboratory.

• CSCI-N 301 Fundamental Computer Science Concepts (3 cr.) P: MATH-M 118. An introduction to fundamental principles of computer science, including hardware architecture, algorithms, software engineering, and data storage. Lecture and laboratory.

• CSCI-N 305 C Language Programming (3 cr.) The basics of computer programming concepts using the C programming language. Emphasis on problem solving and algorithm implementation using a universal subset of the C programming language. Lecture and laboratory.

• CSCI-N 311 Advanced Database Programming, Oracle (3 cr.) P: Recommended CSCI-N 211 or equivalent. Focus on the concepts and skills required for database programming and client server development. Concepts will apply to any modern distributed database management system. Emphasis on developing Oracle SQLPlus scripts, PL/SQL server side programming, and Oracle database architecture. Students with programming experience in ODBC compliant languages will be able to practice connecting such languages to an Oracle database. Lecture and laboratory.

• CSCI-N 317 Fundamental Computer Science Concepts (3 cr.) P: CSCI-N 207 or equivalent. (Pending) A survey and illustration of popular computational software used in multiple scientific domains to support data processing and scientific research. This class focuses on teaching how to use software to efficiently process data in terms of modeling, simulating, visualizing and data-mining. Fundamental concepts related to scientific computing are introduced briefly. Lecture and Lab.

• CSCI-N 321 System and Network Administration (3 cr.) Fundamental concepts of system administration. Design and administration of network servers and workstations. Focus on basic network concepts, such as user account administration, resource allocation, security issues, and Internet service management. Lecture and laboratory.

• CSCI-N 331 Visual Basic Programming (3 cr.) An introduction to programming with a focus on rapid application development environments, event-driven programming, and programming in the Windows environment. Course will demonstrate how the major application types (spreadsheets, databases, text editors) are written. Lecture and laboratory.

• CSCI-N 335 Advanced Programming, Visual Basic (3 cr.) Databases and VB, object-oriented design and practice, the component object model, interobject communication, related RAD environments such as VB for Applications and ActiveX using the Windows API, and generating online help. Lecture and laboratory.

• CSCI-N 341 Introduction to Client-Side Web Programming (3 cr.) P: Recommended CSCI-N 241 or equivalent. Introduction to programming with a focus on the client-side programming environment. Programming using languages commonly embedded in Web browsers. Lecture and laboratory.

• CSCI-N 342 Server-Side Programming for the Web (3 cr.) P: Recommended CSCI-N 341. Designing and building applications on a Web server. Focuses on the issues of programming applied to Web servers. Emphasis on relational database concepts, data design, languages used on the server, transaction handling, and integration of data into Web applications.

• CSCI-N 343 Object-Oriented Programming for the Web (3 cr.) P: CSCI-N 341 or CSCI-N 307. Algorithm design and development within the object-oriented paradigm. Students will utilize Java to create Web-based application software with strong user interaction and graphics. In addition, students will utilize Oracle and SQL to learn introductory database design principles, coupling back-end database operation to application software. Lecture and laboratory.

• CSCI-N 345 Advanced Programming, Java (3 cr.) P: CSCI-N 307 or CSCI-N 331 or CSCI-N 341 or equivalent. A Java language course designed for students familiar with programming and the World Wide Web. Focus on the unique aspects of Java, Applet, and GUI design, object-oriented programming, event-handling, multithreaded applications, animation, and network programming. Lecture and laboratory.

• CSCI-N 351 Introduction to Multimedia Programming (3 cr.) An integration of computing concepts and multimedia development tools. An introduction to the science behind multimedia (compression algorithms and digital/audio conversion). Use of authoring tools to create compositions of images, sounds, and video. Special emphasis given to using the Web as a multimedia presentation environment. Lecture and laboratory.

• CSCI-N 355 Introduction to Virtual Reality (3 cr.) Explore concepts of 3D imaging and design including primitive shapes, transformations, extrusions, face sets, texture mapping, shading, and scripting. Lecture and laboratory.

• CSCI-N 361 Fundamentals of Software Project Management (3 cr.) P: Recommended CSCI-N 300-level programming class. Tools and techniques used to manage software projects to successful completion. Problem-solving focus to learn specification development and management, program success metrics, UML modeling techniques, code design and review, principles, testing procedures, usability measures, release and revision processes, and project archival. Lecture and laboratory.

• CSCI-N 399 Topics in Computing (topic varies) (1-3 cr.) P: CSCI-N 200-level course or equivalent. An investigation of an emerging language or topic in computing. May be repeated for credit.

• CSCI-N 410 Mobile Computing Application Development (3 cr.) Focus of this course is to give programmers information they need to develop new applications or move existing applications to handheld devices and other resource-constrained hardware. All programming is done via Visual Basic.NET or C#.

• CSCI-N 420 Mobile Computing Cross Platform Development (3 cr.) P: CSCI-N 343. Survey of programming & application development for mobile and wireless computing devices. Topics include recommended practices using the J2 platform for micro devices such as cell phones and PDAs, the implementation of cross-device GUI's, using event handlers and remote server access.

• CSCI-N 430 Mobile Computing & Interactive Applications (3 cr.) P: CSCI-N 201. Introduction to programming with emphasis on the Flash ActionScript environment as used in mobile devices. Topics include interface design for mobile devices, use of Flash as an application environment, game and multimedia development, communication with a web server, and parsing XML data.

• CSCI-N 431 E-Commerce with ASP.NET (3 cr.) Topics include basic Web controls, form validation, connecting to an Enterprise-level database, SSL, and sending email within an ASP.NET Web page. A significant software development final project creating a functional Web store is featured. Lecture and laboratory.

• CSCI-N 435 Data Management Best Practices with ADO.NET (3 cr.) A study of managing data in the .NET environment. Focus on strategies to efficiently manage data for large-scale projects. Topics include XML, DataSets, SQL, and error management. Lecture and laboratory.

• CSCI-N 443 XML Programming (3 cr.) P: CSCI-N 241 and an CSCI-N 300-level programming course. Fundamentals of XML programming language. After mastering fundamental XML scripting syntax, the course focuses on narrative-centric and data-centric XML applications. Narrative content includes CSS, DTD and XSLT, and X-path, -link, and -pointer tools; data-centric content includes the DOM, Schemas, and ADO/ASP. A required masterpiece project summarizes course competencies. Lecture and laboratory.

• CSCI-N 450 Mobile Computing with Web Services (3 cr.) P: CSCI-N 410 or CSCI-N 420 or CSCI-N 430. Fundamental concepts of data transport between client devices and a server. Topics include web services, SOAP (simple object access protocol), and XML.

• CSCI-N 451 Web Game Development (3 cr.) Study of basic game development principles with a focus on client-side web delivery. Topics to include creation of sprite objects, user interaction concepts, basic intelligence concepts, game data structures, and basic game physics. Lecture and laboratory.

• CSCI-N 461 Software Engineering for Applied Computer Science (3 cr.) P: CSCI-N 361 or consent of the instructor. This is a survey course covering software engineering concepts, tools, techniques, and methodologies. The topics covered include software engineering, software process and its difficulties, software lifecycle models, project planning including cost estimation, design methodologies including structured design, data structure-oriented design, object-oriented design, and software testing. This course is intended for nonmajors, and credit will not be awarded to computer science majors.

• CSCI-N 485 Capstone Project in Applied Computing (3 cr.) P: CSCI-N 301 and CSCI-N 341. This course provides students with a mechanism for producing and integrating technical achievement meritorious of program culmination. The project will demonstrate subject matter mastery within project development guidelines and reflect both a breadth and depth of technically focused problem-solving skills.

• CSCI-N 499 Topics in Applied Computing (topic varies) (1-3 cr.) P: CSCI-N 300-level course or equivalent. An investigation and examination of an emerging discipline in applied computer science.

Courses for Majors

• CSCI 12000 Windows on Computer Science (1 cr.) A first-year seminar for beginning majors in Computer Science. Open to all beginning IUPUI students and transfer students with fewer than 18 credit hours.

• CSCI 23000 Computing I (4 cr.) P: or C: MATH 15300 or MATH 15900. Fall, Spring, Summer. The context of computing in history and society, information representation in digital computers, introduction to programming in a modern high-level language, introduction to algorithm and data structures, their implementation as programs.

• CSCI 24000 Computing II (4 cr.) P: CSCI 23000 and MATH 15300 or MATH 15900. Continues the introduction of programming began in CSCI 230, with particular focus on the ideas of data abstraction and object-oriented programming. Topics include programming paradigms, principle of language design, object-oriented programming, programming and debugging tools, documentation, recursion, linked data structures, and introduction to language translation.

• CSCI 26500 Advanced Programming (3 cr.) P: or C: ECE 26400 and CSCI 24200 or CSCI 23000. This course is for computer engineering and computer information systems majors. Spring. Learn advanced programming skills and concepts. Introduction to software engineering: problem specification and program design with emphasis on object-oriented programming, programming style, debugging, and documentation. A significant software project's required.

• CSCI 30000 Systems Programming (3 cr.) P: CSCI 23000 and CSCI 24000. Spring. Assembly language programming and structure of a simple and a typical computer. Pseudo operations, address structure, subroutines, and macros. File I/O and buffering techniques. Interfacing with high-level languages. Assemblers: one- and two-pass assemblers, system dependent and independent assembler features, and design options. Loaders, linkers, and macro processors.

• CSCI 34000 Discrete Computational Structures (3 cr.) P: MATH 15300. Fall/Spring. Theory and application of discrete mathematics structures and their relationship to computer science. Topics include mathematical logic, sets, relations, functions, permutations, combinatorics, graphs, Boolean algebra, digital logic, recurrence relations, and finite-state automata.

• CSCI 34050 Honors Discrete Computational Structures (3 cr.) P: MATH 15300. Fall/Spring. Discrete structures introduces students to the vocabulary, notation, formalisms, constructs, and methods of abstraction in which almost all of the advanced thinking in and about computer science is carried out. Topics include basic logic, proof techniques, recursion and recurrence relations, sets and combinatorics, probability, relations and functions, graphs and trees, Boolean algebra, and models of computation. An advanced project is expected in this course.

• CSCI 35500 Introduction to Programming Languages (3 cr.) P: CSCI 24000 and CSCI 34000. Spring. Programming language concepts and different paradigms of programming. Topics include syntax and semantics of high-level languages, parsing methods, subprograms and their implementation, data abstraction, language translation overview including lexical analysis, syntax-directed translation, symbol table handling, code generation, functional programming, logic programming, and object-oriented programming.

• CSCI 36200 Data Structures (3 cr.) P: CSCI 24000 and CSCI 34000. Fall/Spring. A study of the design and analysis of data structures and algorithms. Abstract data types: arrays, stacks, queues, lists, trees, and graphs. Algorithms: sorting, searching, and hashing. File structures: organization and access methods.

• CSCI 36250 Honors Data Structures and Algorithms (3 cr.) P: CSCI 23000, CSCI 24000, and CSCI 34000 or CSCI 34050. Fall/Spring. This course includes fundamentals of data structures and algorithms, such as algorithm analysis, lists, stacks, and queues, trees, hashing and heaps, sorting, graph algorithms, and file structures. An advanced project is expected.

• CSCI 36300 Principles of Software Design (3 cr.) P: CSCI 24000. R: CSCI 36200 (recommended). Spring. This course is designed to teach students best practices in designing and implementing object-oriented systems of high quality. To accomplish this task, we start with an overview of software design patterns and their role in developing high-quality software. We then begin surveying different design-level software design patterns, such as the Bridge, Strategy, Wrapper Facade, and Visitor software design patterns. Next, we touch on software design patterns for building distributed systems. Finally, we finish the course by surveying software anti-patterns, which are common design mistakes that negatively impact system quality, such as degrading performance as the system scales in size and complexity. Students will have the opportunity to apply learned techniques on several programming projects throughout the semester.

• CSCI 40200 Architecture of Computers (3 cr.) P: CSCI 34000. Fall/Spring. Basic logic design. Storage systems. Processor organization: instruction formats, addressing modes, subroutines, hardware and microprogramming implementation. Computer arithmetic, fixed and floating point operations. Properties of I/O devices and their controllers. Interrupt structure. Virtual memory structure, cache memory. Examination of architectures such as microcomputers, minicomputers, and vector and array processors.

• CSCI 40300 Introduction to Operating Systems (3 cr.) P: CSCI 36200 and CSCI 40200. Fall/Spring. Operating system concepts; history, evolution and philosophy of operating systems. Concurrent processes, process coordination and synchronization, CPU scheduling, deadlocks, memory management, virtual memory, secondary storage and file management, device management, security and protection, networking, and distributed and real-time systems.

• CSCI 41400 Numerical Methods (3 cr.) P: MATH 35100. Fall. Error analysis, solution of nonlinear equations, direct and iterative methods for solving linear systems, approximation of functions, numerical differentiation and integration, and numerical solution of ordinary differential equations. Not open to students with credit in MATH 51200.

• CSCI 43200 Security in Computers (3 cr.) P: CSCI 40300. Spring. An introduction to computing security to include cryptography, identity and authentication, software security, operating system security, trusted operating system design and evaluation, network threats and defenses, security management, legal aspects of security, privacy and ethics.

• CSCI 43500 Multimedia Information Systems (3 cr.) P: CSCI 36200, MATH 16600. Multimedia information systems concepts, evolution of multimedia information systems, media and supporting device commonly associated, image databases, techniques for presenting visual information, video databases, multimodels, audio databases, text databases, and multimedia information systems architecture.

• CSCI 43600 Principles of Computer Networking (3 cr.) P: CSCI 40300.  Fall. Survey of underlying principles, fundamental problems, and their solutions in designing computer networks. Laboratory projects include using network systems and network simulation environments. Topics include: motivations, networking topologies, layered open systems protocols, transmission capacity, circuit and packet switching, packet framing and error correction, routing, flow and congestion control, and internetworking.

• CSCI 43700 Introduction to Computer Graphics (3 cr.) P: CSCI 36200 and MATH 35100/51100. Fall. An introduction to 3D programming with emphasis on game engine development using 3D graphics techniques and the standard and platform independent OpenGL library. Topics include lighting, shading, texture mapping, coordinate systems and transformations, collision detection, 3D geometric and physically based modeling and animation.

• CSCI 43800 Advanced Game Development (3 cr.) P: CSCI 43700. Spring. Advanced game design and development principles and technologies. Students will gain practical experience through extensive game development project. Topics include character animation, special effects, user interface design, networking for computer games, game engine components and variations, game performance considerations, artificial intelligence, and ethics in computer games.

• CSCI 44100 Client-Server Database Systems (3 cr.) P: CSCI 36200. Database system concepts, data models database design, CASE tools, SQL, query processing and query optimization, transaction processing, reliability and security issues, database interactions on the World Wide Web.

• CSCI 44300 Database Systems (3 cr.) P: CSCI 36200. Fall. Relational database systems: architecture, theory, and application. Relational data structure, integrity rules, mathematical description, data manipulation. Standard SQL and its data manipulation language, engineering aspects of database design in industry, introduction to nonrelational database systems.

• CSCI 44600 Introduction to Microprocessor Architecture (3 cr.) P: CSCI 40200. Introduction to programmable logic; elements of microprocessor system design; interrupt structures; interfacing using LSI devices; hardware timers; interactive debugging; physical device I/O programming; vectored and polled service; microprocessor architecture; and self-paced laboratory using A/D converters, D/A converters, etc.

• CSCI 44800 Biometric Computing (3 cr.) P: CSCI 36200 and STAT 35000 or STAT 41600 or STAT 51100. Biometrics is capturing and using physiological and behavioral characteristics for personal identification. It is set to become the successor to the PIN. This course will introduce computational methods for the implementation of various biometric technologies including face and voice recognition, fingerprint and iris identification, and DNA matching.

• CSCI 45000 Principles of Software Engineering (3 cr.) P: CSCI 36300. Fall. Tools and techniques used in software development. Lifecycle concepts applied to program specification, development, and maintenance. Topics include overall design principles in software development; the use of structured programming techniques in writing large programs; formal methods of program verification; and techniques and software tools for program testing, maintenance, and documentation. A primary goal of this course is to provide experience in team development of software.

• CSCI 45200 Object-Oriented Analysis and Design (3 cr.) P: CSCI 36200. Introduction to the object-oriented paradigm in software development. Basic concepts: objects, classes, messaging, inheritance, and methodologies. Analysis: defining objects, structures, attributes, and services. Design: transforming the analytic model into the design model. Implementation: comparison of the support features provided by languages such as Smalltalk, C++, Eiffel, and CLOS. A significant design project is required.

• CSCI 46300 Analysis of Algorithms (3 cr.) P: CSCI 36200. Techniques for analyzing and comparing algorithms. Average case analysis in sorting and searching; dynamic programming: greedy algorithms, amortized analysis, and applications; matrix algorithms: polynomials, discrete Fourier transforms, and fast Fourier transforms, parallel algorithms: examples in sorting, searching, graphs, and matrices, computational complexity, polynomial complexity classes P, NP.

• CSCI 47000 Automata and Formal Languages (3 cr.) P: CSCI 36200. Introduction to formal languages and automata theory: finite automata and regular expressions, context-free grammars and languages, pushdown automata, equivalence of CFGs and pushdown automata, application of pushdown automata in parsing, closure properties, pumping lemmas, decision procedures, Turing machines, computability, undecidability, and a brief survey of the Chomsky hierarchy.

• CSCI 47500 Scientific Computing I (3 cr.) P: CSCI 23000 and MATH 35100. P or C: MATH 26200. Solving scientific problems on computers. Languages for scientific computing. Software development on workstations: using tools the environment provides, organization of programs. Computer architecture: impact on software and algorithms. Problem formulation: model selection/simplification, relationship to numerical methods. Solution of linear equations: methods and packages. Nonlinear equations and optimization problems.

• CSCI 47600 Scientific Computing II (3 cr.) P: CSCI 47500. Elementary statistical computing: time series analysis, model fitting, robust methods, generation of pseudorandom numbers, and Monte Carlo methods. Interpolation and curve fitting; numerical integration. Solving ordinary differential equations. Use of packaged environments and symbolic computation for scientific purposes.

• CSCI 47700 High Performance Computing (3 cr.) P: CSCI 47600. Architecture of supercomputers: pipelined, vector, SIMD, MIMD; implications for algorithm and program design; and vectorization, parallelization, loop restructuring, and nonstandard language features. Splitting computation between supercomputers and workstations; interactive analyses of remote machines' output. Numerical methods for large-scale problems: examples from continuum mechanics, graphical visualization, and statistical computing. A project is required.

• CSCI 48100 Data Mining (3 cr.) P: or C: CSCI 24000, STAT 30100/35000/51100/41600. Spring An introduction to data warehousing and OLAP technology for data mining, data processing, languages and systems, and descriptive data mining: characterization and comparison, association analysis classification and predication, cluster analysis mining complex types of data, application, and trends in data mining.

• CSCI 48400 Theory of Computation (3 cr.) P: CSCI 36200. Fall/Spring. Introduction to formal languages and automata theory: finite automata, regular expressions, regular languages, context-free languages and pushdown automata, context sensitive languages, Turing machines, undecidability, P and NP. Design and analysis techniques for: divide-and-conquer algorithms, greedy algorithms, dynamic programming, amortized analysis.

• CSCI 48500 Expert System Design (3 cr.) P: CSCI 36200. Overview of artificial intelligence; expert system technology; early expert systems: MYCIN, DENDRAL; theoretical foundations, uncertainty measures, knowledge representation, inference engines; reasoning mechanisms: forward and backward chaining; and explanation systems, expert system shells, tools, and intelligent hybrid systems.

• CSCI 48700 Artificial Intelligence (3 cr.) P: CSCI 36200. Spring. Study of key concepts and applications of artificial intelligence. Problem-solving methods, state space search, heuristic search, knowledge representation: predicate logic, resolution, natural deduction, nonmonotonic reasoning, semantic networks, conceptual dependency, frames, scripts, and statistical reasoning; advanced AI topics in game playing, planning, learning, and connectionist models.

• CSCI 49000 Topics in Computer Sciences for Undergraduates (1-5 cr.) P: Open to students only with the consent of the department. By arrangement. Fall, spring, summer. Supervised reading and reports in various fields.

• CSCI 49500 Explorations in Applied Computing (1-6 cr.) Fall, spring, summer. Explorations in Applied Computing is an undergraduate capstone experience. Students will work in teams, advised by faculty and external liaisons, to solve real-world computing problems. This hands-on experience will cultivate technical expertise, utilization of analytical thinking, quantitative reasoning, project management skills, and communication skills.

• CSCI 49600 Computer Science Internship Capstone (3 cr.) P: CSCI 48400 and senior standing. Fall, Spring, Summer. A professional experience providing students the opportunity to incorporate material learned in CSCI coursework in a supervised internship position. The approved internship position will cultivate technical expertise, utilization of analytical thinking, quantitative reasoning, project management skills, and communication skills.

• CSCI 48900 Data Science (3 cr.) P: CSCI 24000 and STAT 30100 or STAT 35000 or STAT 51100 with grades of C- or better Spring. The course will cover data manipulation, analysis, and visualization. Statistical modeling, dimension reduction and techniques of supervised and unsupervised learning. Introduction to software technologies used in data science and applications in science, government and industry.

• CSCI 43300 Introduction to the Internet of Things (3 cr.) P:  CSCI 36200 Data Structures and CSCI 40300 Operating Systems with a grade of C- or better Fall. This course provides principles, knowledge and information on the latest technologies about Internet of things, and wireless networks of smart objects. Topics include the concepts and architectures of Internet of things, communication mechanisms, lightweight IP stack, protocols, operating systems, devices, and various applications.

Advanced Undergraduate and Graduate Level

• CSCI 50200 Compiling and Programming Systems (3 cr.) P: CS graduate standing or instructor consent required. Fall. Basic principles of compilers and compiler design; control of translation, loading, and execution; symbolic coding systems; lexical and syntactic analysis; design and operation of assemblers and macroprocessors; and design of interpretive systems. Students are expected to complete a large programming project as part of the course.

• CSCI 50300 Operating Systems (3 cr.) P: CS graduate standing or instructor consent required. Spring. Basic principles of operating systems: addressing modes, indexing, relative addressing, indirect addressing, stack maintenance; implementation of multitask systems; control and coordination of tasks, deadlocks, synchronization, and mutual exclusion; storage management, segmentation, paging, virtual memory, protection, sharing, and access control; file systems; resource management; and evaluation and prediction of performance.

• CSCI 50400 Concepts in Computer Organization (3 cr.) P: CS graduate standing or instructor consent required. The fundamentals of computer hardware for computer scientists. An overview of the organization of modern computers, ranging from sequential to advanced machines. CISC, RISC, and vector processors; multiprocessors; virtual storage, hierarchical memory; interaction with O/S; connection models; high-level programming support; and cost/performance analysis.

• CSCI 50600 Management of the Software Development Process (3 cr.) P: CS graduate standing or instructor consent required. A survey of the fundamental principles and concepts of managing a software project. Topics include life cycle models, standards and goals, cost estimation, risk analysis, tool use, component reuse, traceability, metrics, and process control and improvement. Students are required to apply management concepts using a project-based approach.

• CSCI 50700 Object-Oriented Design and Programming (3 cr.) P: CS graduate standing or instructor consent required. An advanced exploration of the object-oriented model and programming. Topics range from a review of the object model to advanced concepts such as abstraction mechanisms, standard library/packages, OO design using an OO language, and the syntax and the semantics of constructs.

• CSCI 51200 Numerical Methods for Engineers and Scientists (3 cr.) P: MATH 35100 or MATH 51100; MATH 51000; and knowledge of programming. CS graduate standing or instructor consent required. Not open to students with credit in CSCI 41400. Not normally accepted for graduate credit in computer science programs. A survey of the useful methods of computation. Solution of nonlinear equations and systems of nonlinear equations. Numerical methods for systems of linear equations. Approximate differentiation and integration. Numerical solution of ordinary differential equations. Introduction to partial differential equations and elementary approximation methods.

• CSCI 51400 Numerical Analysis (3 cr.) P: CSCI 41400 or equivalent. CS graduate standing or instructor consent required. Iterative methods for solving nonlinear equations, linear difference equations, applications to solution of polynomial equations, differentiation and integration formulas, numerical solution of ordinary differential equations, and round-off error bounds.

• CSCI 51500 Numerical Analysis of Linear Systems (3 cr.) P: CS graduate standing or instructor consent required. Computational aspects of linear algebra; linear equations and matrices; direct and iterative methods; eigenvalues and eigenvectors of matrices; error analysis.

• CSCI 51600 Computational Methods in Applied Mathematics (3 cr.) P: CS graduate standing or instructor consent required. A study of techniques such as direct integration, shooting, finite difference, finite elements, method of weighted residuals, and methods of characteristics for solving problems in fluid mechanics, solid mechanics, dynamics, and other fields of applied mathematics.

• CSCI 52000 Computational Methods in Analysis (3 cr.) P: CS graduate standing or instructor consent required. A treatment of numerical algorithms for solving classical problems in real analysis with primary emphasis on linear and nonlinear systems of equations and on optimization problems; the writing, testing, and comparison of numerical software for solving such problems; and a discussion of the characteristics of quality software for implementing these algorithms.

• CSCI 52600 Information Security (3 cr.) P: CS graduate standing or instructor consent required. Basic notions of confidentiality, integrity, availability; authentication and protection models; security kernels; secure programming; audit; intrusion detection/response; operational security issues; personal security; policy formation/enforcement; access controls; information flow; legal/social issues; identification and authentication in local and distributed systems; classification and trust modeling; risk assessment.

• CSCI 53600 Data Communication and Computer Networks (3 cr.) P: CS graduate standing or instructor consent required. Data communications: communication hardware technologies including local area and long-haul network hardware, circuit and packet switching, interfaces between computer and network hardware, and performance issues. Network architecture: protocol software and conceptual layering, reliable delivery over an unreliable channel, transport protocols, virtual circuits, datagrams, Internet working as a fundamental design concept, the client-server paradigm, naming and name binding, name servers, addressing and address resolution, routing algorithms, congestion and flow control techniques, network file systems, distribution of computation, and DARPA Internet protocols (TCP/IP) as examples of protocol organization.

• CSCI 53700 Introduction to Distributed Computing (3 cr.) P: CSCI 50300 and CSCI 53600. CS graduate standing or instructor consent required. Introduction to the principles and methods in the design of distributed computing systems. It covers the fundamentals of distributed computing from four perspectives: underlying communication media, protocols and their implications; operating system issues; high-level language constructs; and distributed algorithms.

• CSCI 53800 The Design of Interactive Systems (3 cr.) P: CS graduate standing or instructor consent required. Fundamental concepts and tools employed in designing the interaction between humans and machines and the mediating interfaces. Topics include: design problem, interface design concepts, experimental design and analysis, cognitive and predictive models, the design project, case studies, and applications.

• CSCI 53900 Computing with Distributed Objects (3 cr.) P: CS graduate standing or instructor consent required. An introductory treatment of the distributed-object model and programming. The topics range from a review of the distributed and object models of computation to advanced concepts such as remote method invocations, object brokers, object services, open systems, and future trends for distributed-object systems.

• CSCI 54100 Database Systems (3 cr.) P: CS graduate standing or instructor consent required. Spring. Fundamentals for the logical design of database systems. The entity-relationship model, semantic model, relational model, hierarchical model, network model. Implementations of the models. Design theory for relational databases. Design of query languages and the use of semantics for query optimization. Design and verification of integrity assertions, and security. Introduction to intelligent query processing and database machines.

• CSCI 54300 Introduction to Simulation and Modeling of Computer Systems (3 cr.) P: CS graduate standing or instructor consent required. Simulation: discrete event simulation, process-oriented simulation, generating random numbers, simulation languages, simulation examples of complex systems. Nondeterministic models: random variables, Poisson process, moment generating functions, statistical inference, and data analysis. Modeling: elementary queuing models, network of queues, and applications to performance evaluation of computer systems.

• CSCI 54700 Information Storage and Retrieval and Natural Language Processing (3 cr.) P: CSCI 54100. CS graduate standing or instructor consent required. Complex data structures of fields within records, as well as clustered, multilist, and inverted files; key decoding by tree and randomized techniques; overall techniques of classical document retrieval systems, e.g., the MEDLARS and NASA systems; overall techniques of automatic document retrieval systems, e.g., TIP and SMART, the internal structure of SMART; question answering systems; and natural language translation.

• CSCI 54800 Introduction to Bioinformatics (3 cr.) P: CS graduate standing or instructor consent required. Analysis of biological data employing various computational methods to obtain useful information in the emerging area of bioinformatics. Topics include structures, functions and evolution of proteins and nucleic acids, retrieval and interpretation of bioinformation from the Internet, learning principles, algorithms and software for sequence alignment, similarity search of sequence databases, estimation of phylogenetic trees, structural prediction, and functional inference.

• CSCI 54900 Intelligent Systems (3 cr.) P: CS graduate standing or instructor consent required. This course will discuss problems in the area of intelligent systems. Topics include the formalisms within which these problems are studied, the computational methods that have been proposed for their solution, and the real-world technological systems to which these methods have been applied.

• CSCI 55000 Computer Graphics (3 cr.) P: CS graduate standing or instructor consent required. An introduction to computer graphics. Topics include the concepts, principles, algorithms, and programming techniques in 3D interactive computer graphics. Emphasis is on the development and applications of 3D graphic algorithms and methods.

• CSCI 55200 Data Visualization (3 cr.) P: CSCI 55000. CS graduate standing or instructor consent required. Spring. An introduction to data visualization methods and tools, and related graphics techniques. Students will explore a variety of data representation and modeling techniques, their corresponding visualization algorithms, and practical visualization applications in scientific, engineering, and biomedical fields.

• CSCI 55500 Cryptography (3 cr.) P: CS graduate standing or instructor consent required. Concepts and principles of cryptography and data security. Cryptography (secret codes): principles of secrecy systems; classical cryptographic systems, privacy enhanced email; digital signatures. Proprietary software protection; information theory and number theory; complexity bounds on encryption; key escrow; traffic analysis; attacks against encryption; basic legal issues; e-commerce; the role of protocols.

• CSCI 55600 Fault-Tolerant Computing (3 cr.) P: CS graduate standing or instructor consent required. Concepts of fault-tolerant computing; phases of fault-tolerance; applications to commercial, communication, and aerospace systems; fault-tolerance in multi-processor systems; diagnosis techniques; software fault-tolerance.

• CSCI 55700 Image Processing and Computer Vision (3 cr.) P: CS graduate standing or instructor consent required. Topics may include image input and transformation, feature detection and recognition in 2D image processing, as well as 3D dynamic images.

• CSCI 56500 Programming Languages (3 cr.) P: CS graduate standing or instructor consent required. Fall. An exploration of modern or unconventional concepts of programming languages, their semantics, and their implementations; abstract data types; axiomatic semantics using Hoare's logic and Dijkstra's predicate transformers; denotational semantics; functional, object-oriented, and logic programming; concurrency and Owicki-Gries theory. Example languages include ML, Ada, Oberon, LISP, PROLOG, and CSP.

• CSCI 57300 Data Mining (3 cr.) P: CS graduate standing or instructor consent required. Data Mining has emerged at the confluence of artificial intelligence, statistics, and databases as a technique for automatically discovering summary knowledge in large datasets. This course introduces students to the process and main techniques in data mining, including classification, clustering, and pattern mining approaches. Data mining systems and applications will also be covered, along with selected topics in current research.

• CSCI 58000 Algorithm Design, Analysis, and Implementation (3 cr.) P: CS graduate standing or instructor consent required. Basic techniques for designing and analyzing algorithms: dynamic programming, divide-and-conquer, balancing, upper and lower bounds on time and space costs, worst case and expected cost measures. A selection of applications such as disjoint set union/find, graph algorithms, search trees, pattern matching. The polynomial complexity classes P, NP, and co-NP; intractable problems.

• CSCI 58200 Automata and Formal Languages (3 cr.) P: CS graduate standing or instructor consent required. Spring. Finite automata, regular expressions; push-down automata, context-free grammars; and languages and behaviors. Closure properties, pumping lemmas, and decision procedures. Deterministic context-free languages and LR(k) parsing; brief survey of the Chomsky hierarchy.

• CSCI 59000 Topics in Computer Science (3 cr.) P: CS graduate standing or instructor consent required. Fall, spring. Directed study for students who wish to undertake individual reading and study on approved topics.

• CSCI 53300 Wireless Sensor Networks (3 cr.) P: CSCI 53600 Data Communication & Computer Networks or instructor permission This course studies the fundamental principles of wireless sensor networks. The course will expose students to the fundamental issues in designing and analyzing sensor networks and their information processing applications. Topics include sensor network architecture, MAC layer, routing and data dissemination, transport protocols, sensor network operating systems, sensor network programming, querying, network management, and real-world applications.

• CSCI 53200 Cloud Computing Systems (3 cr.) The course specific topics cover the architectural aspects of modern Cloud systems, focusing on network architecture, by exploring the potentials of applications of cloud systems. The course builds on students' foundational knowledge from studies in computer networks, operating systems and computer architecture. Material covered in the class will include some concepts from several textbooks and research papers. The course is highly interactive, based on class discussions. An important part of the course will be dedicated to improving research skills, such as writing papers and preparing presentations.

• CSCI 57900 Bioinformatics Algorithms (3 cr.) Fall. This course teaches algorithms for solving important computation problems in the field of bioinformatics. String data structures such as hash table suffix tree, and suffix arrays, and popular algorithm design techniques, such as dynamic programming, greedy algorithms, divide & conquer, and graph based algorithms are covered. Data analysis methods such as clustering, and hidden Markov model (HMM) are also covered. Application of these algorithmic methods for solving several bioinformatics computation problems, such as sequence alignment, motif discovery, and DNA sequencing are demonstrated.

• CSCI 57800 Statistical Machine Learning (3 cr.) P: Calculus, Linear Algebra, Probability and Random Variables, and Basic knowledge of optimization techniques. Spring. This course will provide an introductory to mid-level coverage of concepts and techniques in machine learning with emphasis given on statistical aspect of machine learning. Topics to be discussed include: Generative and discriminative models for classification and regression, posterior distributions and inference, conjugate distributions, model generalizability, kernel machines, dimensionality reduction, introduction to probabilistic topic models, graphical models and belief propogation, expectation-maximization, deterministic and stochastic inference.

• CSCI 55900 Biometric Computing (3 cr.) Spring. This course will discuss theory, applications, and implementation of biometrics. The majority of biometrics systems follow a specific architecture, namely a low-to-high level processing pipeline. For students to understand every component of this pipeline for different trait-specific systems, the course will include image processing, computer vision, and machine learning principles and methods. The course will also include examples of real-world systems, and will discuss how different technical components are applied in practice for different scenarios/physical conditions.

• CSCI 55800 Multimedia (3 cr.) Spring. This is a course with emphasis on visual media such as image and video processing, transmission, understanding and retrieval. We discuss various types of media, methods for media creation, editing, and algorithms for media indexing, transmission, and recognition. Students will not only learn fundamental principles of signal, frequency, filtering, and transformation, but also gain hands-on experiences in creating multimedia contents for Internet access, implementing multimedia display for visualization, and developing basic algorithms for information extraction and retrieval for multimedia. This course will have lab training and topic discussion sessions where students will be actively involved in presenting research papers. Several exercises and projects will be assigned in addition to the presentation.

• CSCI 50900 Software Quality Assurance (3 cr.) P: Graduate Student standing in Department of Computer Information Science. Fall, every other year. This course is designed to teach students best practices in testing different classes of software systems. To accomplish this task, we start with an overview of software testing and its role in developing high-quality software. We then begin studying, in depth, traditional software testing methods, such as functional, structural, and integration testing. Finally, we finish the course by surveying contemporary software testing methods, such as exploratory testing, model-based testing, search-based testing, and non-functional testing. Students will have to opportunity to apply learned techniques on several programming projects throughout the semester.

Graduate

• CSCI 60300 Advanced Topics in Distributed Systems (3 cr.) P: CSCI 53700. CS graduate standing or instructor consent required. Design and control of distributed computing systems (operating systems and database systems). Topics include principles of namings and location, atomicity, resources sharing, concurrency control and other synchronization, deadlock detection and avoidance, security, distributed data access and control, integration of operating systems and computer networks, distributed systems design, consistency control, and fault tolerance.

• CSCI 61400 Numerical Solution of Ordinary Differential Equations (3 cr.) P: CSCI 51400. CS graduate standing or instructor consent required. Numerical solution of initial-value problems by Runge-Kutta methods, general one-step methods, and multistep methods. Analysis of truncation error, discretization error, and rounding error. Stability of multistep methods. Numerical solution of boundary-value and eigenvalue problems by initial-value techniques and finite difference methods.

• CSCI 61500 Numerical Solution of Partial Differential Equations (3 cr.) P: CSCI 51500 and MATH 52300. CS graduate standing or instructor consent required. The numerical solution of hyperbolic, parabolic, and elliptic equations by finite difference methods; iterative methods (Gauss-Seidel, overrelaxation, alternating direction) for solving elliptic equations; discretization and round-off errors; explicit and implicit methods for parabolic and hyperbolic systems; the method of characteristics; the concept of stability for initial value problems.

• CSCI 66000 Design of Translating Systems (3 cr.) P: CS graduate standing or consent of instructor required. Systems design of higher-level programming languages and their processors; symbol tables, lexical scan, syntax scan, object code generation and optimization; boot-strapping techniques, higher-level translators, self-compilers, and decompilers; and heuristic generators.

• CSCI 66100 Formal Compiling Methods (3 cr.) P: CSCI 50200. CS graduate standing or instructor consent required. Application of concepts developed in formal language and automata theory to the design of programming languages and their processors. Models of syntactic analysis, including canonical precedence, LR(k) and LL(k) parsing methods and variants; efficiency of each. Synthesis techniques, including symbol tables, storage administration, parameter mechanisms, garbage collection; optimization considerations. Models of synthesis, including level, affix, attributed grammars; prospects of fully automating compiler design. Applicative vs. procedural languages and their implementations based on semantic definition of a language (LISP, Lucid) and on proof-like techniques (PROLOG, equational systems); merits of such approaches.

• CSCI 69500 M.S. Project (1-9 cr.) P: Consent of instructor. Maximum of 6 credit hours apply to degree. The student integrates and applies the knowledge gained from the formal course work to formulate and execute a solution to a problem of practical importance. The faculty advisor and the sponsoring organization mentor, if applicable, provide guidance and evaluation.

• CSCI 69800 Research M.S. Thesis (1-18 cr.) P: Consent of instructor. Formal research on M.S. Thesis supervised by the faculty advisor.

• CSCI 69900 Research Ph.D. Thesis (1-9 cr.) P: Consent of instructor. Formal research on Ph.D. Thesis supervised by the faculty advisor.

• CSCI-C 591 Research Seminar (0-1 cr.) P: CS graduate standing or instructor consent required. First-year seminar in research methods and current research directions of the faculty. Repeatable.

• CSCI 62600 Advanced Information Assurance (3 cr.) P:  CSCI 55500 (Cryptography) or instructor permission. Spring. Advanced and emerging topics in information assurance, including selections from the following: penetration testing, formal verification of systems, formal models of information flow and protection, distributed system authentication, protocol design and attack, computer viruses and malware, intrusion and anomaly detection models, multi-level security, active defenses, investigation and forensics, network firewalls, anonymity and identity, e-commerce support, database security models and mechanisms, secure group communication, wireless/sensor network security, cryptographic access control, secure multiple party computation, zero-knowledge proof, oblivious transfer, emerging security techniques such as digital provenance and moving target defense.

Geology

• GEOL-G 107 Earth and Our Environment (3 cr.) Fall, Spring, Summer. An introduction to geology through discussion of geological topics that show the influence of geology on modern society. Topics include mineral and energy resources, water resources, geologic hazards and problems, geology and health, and land use.

• GEOL-G 109 Fundamentals of Earth History (3 cr.) Fall, Spring, Summer. Basic principles of earth history: geologic time, basic rock types, reconstructing past environments. Physical development of the earth: its interior, mountain formation, plate tectonics. Origin and development of life: evolution, the fossil record. With laboratory GEOL-G 119, equivalent to IUB GEOL-G 104, IUB GEOL-G 112, and PU GEOS 112.

• GEOL-G 110 How the Earth Works (3 cr.) Fall, Spring, Summer. Introduction to processes within and at the surface of the earth. Description, classification, and origin of minerals and rocks. The rock cycle. Internal processes: volcanism, earthquakes, crustal deformation, mountain building, plate tectonics. External processes: weathering, mass wasting, streams, glaciers, ground water, deserts, coasts. With laboratory GEOL-G 120, equivalent to IU GEOL-G 103, IU GEOL-G 111, and PU GEOS 111.

• GEOL-G 115 Oceanography (3 cr.) Fall, Spring, Summer. Nonmathematical introduction to the geology, biology, and physical characteristics of the ocean. Includes waves, tides, and currents of the world ocean, the adaptations and distribution of marine animals, pollution of the marine ecosystem, and an introduction to the global ocean/atmosphere system.

• GEOL-G 117 Lab: Earth and Our Environment (1 cr.) P: or C: GEOL-G 107. Fall, Spring, Summer. Laboratory exercises in environmental aspects of the geosciences. To accompany GEOL-G 107.

• GEOL-G 119 Fundamentals of Earth History Laboratory (1 cr.) P: or C: GEOL-G 109. Fall, Spring. Laboratory studies of rocks, fossils, and stratigraphic principles to reconstruct past environments and interpret Earth history. To accompany GEOL-G 109.

• GEOL-G 120 Lab: How the Earth Works (1 cr.) P: or C: GEOL-G 110. Fall, Spring, Summer. Laboratory studies of minerals and rocks, landscapes, and earth structures. To accompany GEOL-G 110.

• GEOL-G 130 Short Courses in Earth Science (topic varies) (1 cr.) Five-week courses on a variety of topics in the earth sciences. Examples of topics include lunar and planetary geology; geology of Indiana; geology of national parks; glaciers; water; gemstones; geology of art; earthquakes and volcanoes; dinosaurs. Each short course is one credit; no topic may be taken for credit more than once.

• GEOL-G 132 Environmental Issues and Solutions (3 cr.) This course is offered via the Internet, and provides experience in addressing some of the kinds of problems that arise in studies of the environment. Particular attention is given to developing skills in evaluating scientific articles; specifically, the relevance of the information in an article, the credibility of the author, and the accuracy and usefulness of the quantitative information provided. The kinds of problems considered in this course will vary from semester to semester, but will be chosen from a list that includes global warming, tropical rain forests, acid rain, water pollution, solid waste disposal, appropriate use of land, and the ability of regulations to protect the environment. Three or four such topics will be covered each semester.

• GEOL-G 135 Indiana Rocks! (3 cr.) Fall, Spring, Summer. An in-depth investigation of Indiana's geology, including minerals and rocks, geologic time, mineral resources, fossils, topography, soil, water resources, and special geologic features such as the Falls of the Ohio River and Indiana Dunes.

• GEOL-G 136 Lab: Indiana Rocks! (1 cr.) P: or C: GEOL-G 107, GEOL-G 110, or GEOL-G 135. Fall, Spring, Summer. Field experiences and practical exercises in applying geologic principles and observing the geologic phenomena of Indiana. Topics may include sedimentary rocks and fossils, soils, mineral resources, hydrology, glacial history, and karst topography. Students will visit multiple park areas, complete problem solving or hands-on exercises, and submit written reports.

• GEOL-G 199 Service Learning in Geology (1 cr.) P: or C: GEOL-G 107, GEOL-G 110, GEOL-G 115, or GEOL-G 135. Students participate in community service projects. Completion of the project includes a paper reflecting on how the service experience contributed to their application of the principles of general education.

• GEOL-G 205 Reporting Skills in Geoscience (3 cr.) P: GEOL-G 110 or GEOL-G107 and ENG-W 131. Spring and Fall. Techniques of presenting written and oral reports from the geoscience approach. The written report: mechanics of format and illustrations, proper citation of geoscience literature, the abstract, proofreading, and editing. The oral report: effective presentation and response to audience questions, simulating a professional science meeting.

• GEOL-G 221 Introductory Mineralogy (4 cr.) P: GEOL-G 110, GEOL-G 120 and CHEM-C 105. Fall. Credit not given for both GEOL-G 221 and GEOL-G 306. Crystallography: symmetry, morphology, classes. Mineral chemistry, physics, and genesis. Description, identification, association, occurrence, and use of common and important minerals.

• GEOL-G 222 Introductory Petrology (4 cr.) P: GEOL-G 221 and CHEM-C 106. Spring. Credit not given for both GEOL-G 222 and GEOL-G 306. Igneous, sedimentary, and metamorphic rocks: composition, field occurrence, characteristics, classification, origin, laboratory description, and identification.

• GEOL-G 304 Principles of Paleontology (3 cr.) P: GEOL-G 119 or GEOL-G 335 or consent of instructor. Spring. Biological principles applied to the fossil record. Examination of the quality of the fossil record, taxonomic principles and procedures, analytical techniques, evolutionary theory, evolution and paleoecology of species, populations and communities, diversification and extinction, paleogeography. Laboratories: systematics, stratigraphic distribution, and ecology of major fossilized invertebrate phyla.

• GEOL-G 306 Earth Materials (4 cr.) P: GEOL-G 110/120 or GEOL-G 107/117 and CHEM-C 105. Spring. Credit not given for both GEOL-G 221 and GEOL-G 306 or GEOL-G 222 and GEOL-G 306. The physical and chemical properties of Earth materials, and the chemical processes that have altered them to cause Earth to evolve to its present state. This course covers properties of minerals and their identification, genesis of igneous, metamorphic and sedimentary rocks, interactions between solid Earth and the hydrosphere, and interactions between humans and the solid Earth.

• GEOL-G 323 Structural Geology (4 cr.) P: GEOL-G 205, GEOL-G 222, and GEOL-G 335. Fall. Nature and origin of primary and secondary structural features of the earth's crust, with emphasis on mechanics of deformation and origin, and three-dimensional problems illustrating structural concepts. Laboratory.

• GEOL-G 334 Principles of Sedimentation and Stratigraphy (4 cr.) P: GEOL-G 205, GEOL-G 222, or GEOL-G 306 and GEOL-G 335 or consent of instructor. Fall. Processes and factors influencing genesis of sedimentary particles and their deposition. Interpretation of depositional environments. Sedimentary facies and interpretation of stratigraphic record from outcrop, core sequence, and remote sensing. Laboratory. Field trip.

• GEOL-G 335 Evolution of the Earth and Life (4 cr.) P: GEOL-G 110/120. Fall.  Evidence for evolution of the Earth and life in the rock record, Sequence of events, time of occurrence, rates of change. Interrelationships of principal themes: chemical evolution of the planet, evolution of the biosphere, plate tectonics, mountain building, and sea level changes. Bearing of evolution on human welfare.

• GEOL-G 403 Optical Mineralogy and Petrography (3 cr.) P: GEOL-G 205 and GEOL-G 222. Identification of rock-forming minerals in fragments and thin sections using principles of optical crystallography and the petrographic microscope. Description of common igneous, sedimentary, and metamorphic rocks and interpretation of their genesis using hand specimens and thin sections.

• GEOL-G 406 Introduction to Geochemistry (3 cr.) P: GEOL-G 205, CHEM-C 106, or consent of instructor. Fall. Interactions between geology, chemistry, and biology in natural systems. Explores biogeochemical processes on small scales and in terms of global cycles, as well as human impacts on biogeochemical cycling.

• GEOL-G 410 Undergraduate Research in Geology (1-3 cr.) P: GEOL-G 205, junior standing, and consent of instructor. Fall. Spring, Summer.  Field and laboratory research in selected problems in geology. May be repeated. A total of 3 credit hours may be applied toward the degree.

• GEOL-G 415 Principles of Geomorphology (3 cr.) P: GEOL-G 205, and GEOL-G 222 or GEOL-G 306, GEOL-G 334. Spring. Natural processes that create landforms and land-scapes. Physics and chemistry of weathering and soil formation. Dynamics of mass wasting, streams, and glaciers. Includes field and laboratory investigations.

• GEOL-G 416 Economic Geology (3 cr.) P: GEOL-G 205 and GEOL-G 222, or consent of instructor. Origin, geologic occurrence, distribution, use, and conservation of important geologic natural resources: metallic minerals; industrial minerals and rocks; coal, petroleum, natural gas, and other energy resources.

• GEOL-G 418 Igneous and Metamorphic Petrology (3 cr.) P: G222 or equivalent. The petrogenesis of igneous and metamorphic rocks. Both lecture and laboratory portions of the course will stress the application of modern petrographic, mineralogic, geochemical, and phase equilibria techniques to the solution of relevant petrologic problems.

• GEOL-G 420 Regional Geology Field Trip (1-3 cr.) P: GEOL-G 205 or consent of instructor. Summer. Field trip to selected regions for study of mineralogic, lithologic, stratigraphic, structural, paleontologic, geomorphologic, or other geological relationships.

• GEOL-G 430 Principles of Hydrology (3 cr.) P: GEOL-G 205, GEOL-G 117 or GEOL-G 120, MATH 15400, CHEM-C 106, PHYS-P 201 or PHYS 15200 or PHYS 21800, and introductory biology. Fall. An introduction to the hydrologic cycle, reviewing processes such as precipitation, evaporation and transpiration, infiltration, runoff, streamflow and watersheds, and groundwater.

• GEOL-G 431 Wetland Ecosystems (3 cr.) P: GEOL-G 430 or GEOL-G 451. Fall. Wetland ecosystems will explore wetlands and their role in ecosystem function. Topics will encompass wetland definitions, geomorphic setting, functions and values, hydrology, vegetation and soils, wetland biogeochemistry, and wetland mitigation and the regulatory framework in which wetlands are treated. The course evaluates the status and trends of Indiana wetlands and types of wetlands common in Indiana.

• GEOL-G 432 Stream Ecosystems (3 cr.) P: GEOL-G205, GEOL-G117 or GEOL-G120 and MATH 15400, and CHEM-C106, and PHYS-P201, PHYS 15200 or PHYS 21800 and introductory biology. Fall. An examination of the physical, chemical, and biological components of stream ecosystems. Fundamentals of ecosystems science are introduced. Methods for measurement, characterization, and evaluation of the physical, chemical, and biological components of stream ecosystems are taught in field and laboratory applications. Topics include fluvial geomorphology, streamflow, stream chemistry, ecosystem dynamics, water use and management, human impacts, and stream restoration.

• GEOL-G 436 Earth Observation from Space (3 cr.) P: GEOL-G 222, GEOG-G 336, and PHYS-P 202 or consent of instructor. Fall.  This course is designed to introduce Earth observation with remote sensing. Basic knowledge and history of remote sensing are described. Elements of airborne and satellite remote sensing images necessary for basic data analysis and qualitative image interpretation are covered. Remaining lectures are dedicated to classical applications of airborne and satellite remote sensing in exploring natural world and physical Earth. The class explores in greater detail how space observation can be used to monitor and assess environmental change and to address society need. The class includes lab assignments on basic remote sensing and data interpretation.

• GEOL-G 447 Planetary Geology (3 cr.) P: GEOL-G 110 or equivalent course, or consent of instructor. Origin and evolution of planets. The roles of impacts and volcanism in surface dynamics, and the role of water in planetary climates.

• GEOL-G 451 Principles of Hydrogeology (3 cr.) P: GEOL-G 205 and GEOL-G 110 or GEOL-G 117, MATH 16600 or MATH 22200, CHEM-C 106 and PHYS 15200 or PHYS-P 201 or PHYS 21800. Spring.  Geologic and hydrologic factors controlling the occurrence and dynamics of groundwater. Emphasis on basic physical and chemical relationships between water and geologic material.

• GEOL-G 460 Internship in Geology (3 cr.) P: Junior or senior standing, and consent of faculty mentor. Fall, Spring, Summer. Industrial or similar experiences in geologically oriented employment. Projects jointly arranged, coordinated, and evaluated by faculty and industrial/governmental supervisors.

• GEOL-G 482 Environmental Microbiology (3 cr.) P: BIOL-K 101, BIOL-K 103 or consent of instructor. Spring. This class will cover basic concepts in microbiology, such as the taxonomy and cell structure of Bacteria and Archaea, microbial growth and energetics, biochemical pathways essential for the metabolism of carbon and nutrients by heterotrophs and autotrophs, and how these pathways then control global biogeochemical cycling of carbon, nitrogen, sulfur and various metals in terrestrial and aqueous environments.

• GEOL-G 483 Isotope Geochemistry (3 cr.) P: GEOL-G 406 or consent of instructor. Spring.  Introduction to the theory and application of radiogenic and stable isotopes to a variety of subdisciplines in the earth sciences. Topics include geochronology, tracers, mass balance and mixing, hydrology and environmental applications, water-rock interaction, and biogeochemical cycles.

• GEOL-G 486 Soil Biogeochemistry (3 cr.) P: GEOL-G 406 or consent of instructor. Fall.  Biological and geochemical processes controlling the cycling of elements in soils and freshwater sediments with emphasis on cycles of carbon, nitrogen and phosphorous.

• GEOL-G 487 Remote Sensing of Global Change (3 cr.) P: GEOL-G 222, GEOG-G 336 and PHYS-P 202. Spring. This course is designed to introduce the methods and strategies underlying the application of hyperspectral remote sensing in solving environmental problems in the context of global change. Basic physics for remote sensing is described. Terminologies for spectroscopic analysis and image interpretation of environment changes variables with visible and near-infrared wavelengths and thermal infrared data are introduced. Classical examples on applications of hyperspectral remote sensing in agricultural and forest ecology, hydrology and soil sciences, terrestrial and aquatic ecology, atmosphere and urban landscapes will be discussed.

• GEOL-G 488 Global Cycles (3 cr.) P: GEOL-G 110, one semester of chemistry, one semester of biology. Spring. The global environment is dominated by interlinking cycles of earth materials, chemicals, and biological components. This course will explore the major elements of the geochemical cycles found in the atmosphere, land, lakes, river, biota, and oceans, as well as the human impacts on these cycles. This course will take a global approach to geochemistry and environmental problems and will introduce fundamental concepts of meteorology, surficial geology (weathering, erosion, and sedimentation), biogeochemistry, limnology, and oceanography.

• GEOL-G 490 Seminar in Geology (1-3 cr.) P: Junior or senior standing and consent of instructor. Readings and discussion of selected topics. May be repeated, provided different topics are studied, for a maximum of 6 credit hours.

• GEOL-G 495 Senior Thesis in Geology (1 - 3 cr.) P: Senior standing and consent of faculty mentor. Capstone experience involving a research project. Written report required.

• GEOL-G 499 Honors Research in Geology (3 cr.) P: Approval of departmental Honors Committee.

• GEOL-G 502 Trace Element and Isotope Geochemistry (3 cr.) P: CHEM-C 360 or CHEM-C 361 or GEOL-G 406, or consent of instructor. Principles governing the distributions of trace elements, radioisotopes, and stable isotopes in igneous, metamorphic, or sedimentary environments. Emphasis on applications to petrology and geochronology.

• GEOL-G 525 Glacial Geology (3 cr.) P: GEOL-G 415 or consent of instructor. Formation, dynamics, and regimen of glaciers. Erosional and depositional processes and landforms. Glaciation of North America with emphasis on stratigraphy, soils, climates, and physical changes resulting from glacial processes and environments. Field investigations and a student research project required.

• GEOL-G 527 Geological Oceanography (3 cr.) P: Graduate standing, GEOL-G 334, or consent of instructor. Geological features and processes operating in the oceans; continental shelf, slope and ocean-basin geomorphology, sedimentology, structure, and composition; origin and geologic history of seawater and ocean basins; tools applied to marine geological studies.

• GEOL-G 535 Quaternary Geology (3 cr.) P: GEOL-G 415 or consent of instructor. Characteristics, distribution, and origin of Pleistocene and recent deposits, stratigraphy and chronology; formation of associated landforms, landscapes, paleosols, and soils; Quaternary environments and paleoclimatic interpretation.

• GEOL-G 545 Applied Analytical Techniques in Geology (3 cr.) P: GEOL-G 221, CHEM-C 105-106, and consent of instructor. Principles of advanced analytical techniques, including X-ray analysis, electron beam imaging and analysis, and mass spectrometry, with applications in geosciences. Lectures on theory followed by laboratory exercises. Students will complete individual or collaborative research projects.

• GEOL-G 546 Planetary Remote Sensing (3 cr.) P: Previous course work in remote sensing, or consent of instructor. Application of multi-spectral data for exploration and mapping of planetary surfaces.

• GEOL-G 550 Surface-Water Hydrology (3 cr.) P: GEOL-G 430 or GEOL-G 451. In-depth analysis of surface water components of hydrologic cycle: hydrometeorology, evaporation/transpiration, rainfall-runoff relationships, open-channel flow, flood hydrology, and statistical and probabilistic methods in hydrology.

• GEOL-G 551 Advanced Hydrogeology (3 cr.) P: GEOL-G 430 or GEOL-G 451. Advanced treatment of concepts fundamental to subsurface hydrologic processes. Applications to groundwater resource development and environmental protection such as aquifer mechanics and well hydraulics, heterogeneity and anisotropy, ground water and surface water interactions, unsaturated flow, and tracer and contaminant transport.

• GEOL-G 583 Isotope Geochemistry (3 cr.) Introduction to the theory of radiogenic and stable isotopes to a variety of subdisciplines in the earth sciences. Topics include geochronology, tracers, mass balance and mixing, hydrology and environmental applications, water-rock interaction, and biogeochemical cycles.

• GEOL-G 585 Environmental Geochemistry (3 cr.) P: GEOL-G 406 or consent of instructor. Aquatic and environmental geochemistry, including freshwater and marine systems, natural and human-induced changes to geochemical systems, and the geochemical record of paleoceanographic and paleoclimatic variations.

• GEOL-G 595 Data Analysis Techniques in Geoscience (3 cr.) P: STAT 30100 and CSCI-N 207, or equivalent. Application of statistical and numerical analysis techniques to geoscience data, including sampling methods, confidence intervals, least squares methods, correlation, time series analysis, and multivariate techniques. Emphasis on using a computer to solve geoscience problems.

• GEOL-G 596 Topics in Applied Environmental Geology (3 cr.) P: Consent of instructor. Application of geologic principles to common environmental problems. Topics covered include waste site assessment, flood hazard analysis and mitigation, slope stability, and hydrogeology. Application of principles to problems pertaining to urban planning, earthquake-resistant design, and waste site/landfill development.

• GEOL-G 621 Modeling Hydrological Systems (3 cr.) P: GEOL-G 430 or GEOL-G 451 and consent of instructor. Introduction to groundwater flow and solute transport modeling. Includes development of equations describing ground water flow and applied ground water/contaminant transport modeling, using a variety of current software packages.

• GEOL-G 635 Soil Geomorphology (3 cr.) P: GEOL-G 415. Application of geomorphic principles in evaluation of weathering and soil formation; systems analysis of soil-landscape models; paleogeomorphology and paleopedology. Lectures and discussion; field and laboratory problems.

• GEOL-G 640 Fluvial Geomorphology (3 cr.) P: GEOL-G 415 or consent of instructor. Survey of fluvial processes including sediment transport, bed and bank erosion, and river metamorphosis. Examination of the controls on channel form. Analysis of landform genesis with an emphasis on feature sedimentology and stratigraphy. Application of fluvial geomorphic principles to land management and restoration of riparian ecosystems.

• GEOL-G 645 Carbonate Sedimentology (3 cr.) P: GEOL-G334 or consent of instructor Spring. Course focuses on origin and generation of carbonate grains, description of modern carbonate depositional environments, interpretation of ancient limestone and dolomite sequences, and carbonate diagensis.

• GEOL-G 690 Advanced Geology Seminar (Arr. cr.) P: Consent of instructor.

• GEOL-G 700 Geologic Problems (1-5 cr.) P: Consent of faculty mentor. Consideration of special geologic problems.

• GEOL-G 810 Thesis Research (6 cr.) P: Consent of faculty mentor. Thesis Research.

• GEOL-G 180 Dinosaurs (3 cr.) Spring.  Topics include:  geologic time and the fossil record, preservation of vertebrate fossils, and how to "read" the fossil record.  Dinosaur anatomy is surveyed in terms of evolutional changes.  Controversies such as evolutionary paths are considered and extinction of dinosaurs is placed in the context of other mass extinctions.

Forensic and Investigative Sciences

Undergraduate

• FIS 10100 Investigating Forensic Science Lecture (1 cr.) Fall, Spring, Summer. Forensic science is the application of scientific methods to matters involving the public. Crime scene investigation will be taught so students will have general knowledge on techniques used in the field. Students will also be exposed to basic understanding of common forensic science concepts and learn how analysis of specific types of evidence is analyzed in a forensic science laboratory. Topics will include but are not limited to crime scene, hairs, explosives, fire debris, serology, DNA, illicit drugs, fingerprints, footwear, questioned documents, inks, glass, paints, blood spatter, and soils.

• FIS 10101 Investigating Forensic Science (2 cr.) Fall, Spring, Summer. Forensic science is the application of scientific methods to matters involving the public. One of its principle applications is the scientific analysis of physical evidence generated by criminal activity. During this laboratory course you will learn basic techniques used to analyze forensic evidence. This will start with concepts in evidence documentation and collection. You will then learn concepts used in pattern recognition, forensic chemistry and biology, and trace evidence. There will be hands on activities in all these disciplines. Topics will include but are not limited to crime scene, fibers, hairs, explosives, fire debris, serology, DNA, illicit drugs, fingerprints, footwear, questioned documents, inks, glass, paints, blood spatter, and soils.

• FIS 20500 Concepts of Forensic Science I (3 cr.) Fall, Summer Session I. Forensic science is the application of scientific methods to matters involving the public. One of its principle applications is the scientific analysis of physical evidence generated by criminal activity. During this course students will learn basic concepts in forensic science and criminal justice system and apply the basic concepts towards evidence collection and analysis. Topics will include fingerprints, impression evidence, firearms, questioned documents, pathology, entomology, anthropology, and forensic science and the law and ethics.

• FIS 20600 Concepts of Forensic Science II (3 cr.) P: FIS 20500 and either CHEM-C101 or CHEM-C105 or FIS 10101. Spring, Summer Session II. Continuation of FIS 20500. Students will learn basic concepts in forensic chemistry and forensic biology and apply the basic concepts towards evidence analysis. Students will learn instrumental procedures and methods used in forensic chemistry and forensic biology to analyze and evaluate evidence. Topics will include microscopy, spectroscopy, chromatography, hairs and fibers, arson and explosions, soils, glass, paints and inks, serology and DNA, blood splatter, illicit drugs and toxicology.

• FIS 30500 Professional Issues in Forensic Science (3 cr.) P: FIS 20500, FIS 20600. Fall, Spring. Ethics in forensic science. Crime laboratory culture. Recent issues in forensic science, quality assurance and control in a crime lab.

• FIS 40100 Forensic Chemistry I (3 cr.) P: CHEM-C 310, CHEM-C 311, CHEM-C 342, CHEM-C 344, CHEM-C 325. Fall. This course will cover the major techniques and instruments used in the analysis of chemical and pattern evidence commonly encountered at crime scenes. The techniques of instrumental microscopy, gas, thin layer and liquid chromatography, and UV-visible and infrared spectrophotometry will be studied and used extensively. There will be lecture components for each of the type of instrumental analysis covered in the course.

• FIS 40101 Forensic Chemistry I Laboratory (1 cr.) P: CHEM-C 310, CHEM-C 311, CHEM-C325, CHEM-C 342, CHEM-C 344, CHEM-C 411 or instructor consent. P: or C: FIS 40100. Fall. This course will cover the major techniques and instruments used in the analysis of chemical and pattern evidence commonly encountered at crime scenes. The techniques of instrumental microscopy, gas, thin layer and liquid chromatography, and UV-visible and infrared spectrophotometry will be studied and used extensively. There will be lab components for each of the type of instrumental analysis covered in the course.

• FIS 40200 Forensic Biology (3 cr.) P: FIS 20600, BIOL-K 322, BIOL-K 324. Fall. This course is an introduction to the use of biological materials to assign identity to persons associated with a crime. The course will introduce methods for the preliminary detection of biological evidence and introduce the use of DNA. The materials learned will encompass broader topics such as immunology, molecular biology, and genetics.

• FIS 40201 Forensic Biology Laboratory (2 cr.) P: or C: FIS 40200. Only open to students admitted to the FIS Program. Fall. This laboratory section includes practical exercises that reflect common practice in forensic science laboratories, including but not limited to collection and preservation of biological evidence, presumptive and confirmatory tests, DNA extraction, and PCR amplification.

• FIS 40300 Forensic Genetics (3 cr.) P: FIS 40200 or instructor consent. Spring. This course is a continuation of FIS 40200 and will go into more detail about the structure of DNA, the application of molecular biology techniques for the determination of individual identity. The materials learned will encompass broader topics such as immunology, molecular biology, genetics, population genetics and statistics.

• FIS 40301 Forensic Genetics Laboratory (2 cr.) P: or C: FIS 40300. P: FIS 40200, 40201 or instructor consent. Only open to students admitted to the FIS Program. Spring. This laboratory section includes practical exercises that reflect common practice in forensic science laboratories. This laboratory is a continuation of FIS 40201.

• FIS 40400 Forensic Chemistry II (3 cr.) P: FIS 40100 or instructor consent. Spring. Continuation of FIS 40100. This course will cover the major techniques used in the analysis of chemical and trace evidence commonly encountered at crime scenes. This course will be broken down into 2 modules. The overall course will cover techniques used during the analysis of trace and chemical evidence in a forensic laboratory.

• FIS 40401 Forensic Chemistry II Laboratory (1 cr.) P: FIS 40100, FIS 40101 or instructor consent. P: or C: FIS 40400. Open only to FIS majors. Spring. This course will cover the major techniques used in the analysis of chemical and trace evidence commonly encountered at crime scenes. This course will be broken down into 2 modules. The overall course will cover techniques used during the analysis of trace and chemical evidence in a forensic laboratory.

• FIS 40900 Forensic Science Research (1-4 cr.) P: Requires application and approval of faculty member supervising the research. Forensic science or literature research with a report.

• FIS 41500 Forensic Science and the Law (3 cr.) Fall, Spring. Application of various laws and rules of evidence to the forensic sciences and how the admission of evidence derived from forensic sciences can impact the administration of justice in the United States. Topics include preparation for testimony, expert testimony, subpoenas, basic judicial processes, admissibility of scientific evidence.

• FIS 43000 Population Genetics (3 cr.) P: BIOL-K 322, BIOL-K 323, STAT 30100. Spring. This course will serve as an introduction to the principles of population genetics. The course will cover the theory behind population genetics that includes a historical perspective to the current accepted models of population theory; examine the relationships between allele and genotype frequencies, and the fundamentals of molecular evolutionary genetics.

• FIS 49000 Forensic Science Capstone (1 - 5 cr.) P: Forensic and Investigative Sciences Senior. Fall. This course covers career and graduate school preparation, forensic science research with a faculty mentor and forensic science knowledge review.  Students will be provided the opportunity to engage with professionals in the field.

• FIS 49500 Internship in Forensic Science (0 - 5 cr.) P: Completion of application and permission of instructor. The internship experience is designed to bring together the diverse areas of knowledge that the student has gained during the pursuit of a Bachelor of Science in Forensic Science. It is a synthesis of knowledge; where the student takes what they learn in the classroom and translates that to the real world of forensic science. This is usually completed at the end of the student's undergraduate career in Forensic Science. The experience of an internship can aid with the transition to a crime laboratory. However, students have the opportunity to complete an internship at any time during their undergraduate career. The internships should be related to forensics and have ranged from a variety of experiences. Internship location must be approved by the instructor.

• FIS 49600 Special Topics in Forensic Science (1 - 6 cr.) This is a variable topic course. Repeatable with different topics.

• FIS 30100 Forensic Microscopy Lecture (1 cr.) P: FIS 20500 and FIS 20600 Fall, Spring. Discuss techniques used in the analysis of forensic trace evidence, such as impressions, glass, biological materials, hairs, and fibers. Topics include properties of light, compound microscopy, micrometry, refraction, dispersion, stereomicroscopy, and polarizing light microscopy.

• FIS 30100 Forensic Microscopy Laboratory (1 cr.) P: P: FIS 20500 and FIS 20600 and CHEM-C126 C: 30100 Fall, Spring. Students will learn techniques in the analysis of forensic microscopic evidence. Topics include the use of common forensic microscopes such as compound microscopy, stereomicroscopy, and polarizing light microscopy. Students will also prepare and examine multiple types of trace evidence such as impressions, glass, hairs, biological materials, and fibers.

Graduate

• FIS 50500 Current Issues in Forensic Science (3 cr.) Open only to graduate students in the Forensic and Investigative Sciences program. Fall. This course will discuss recent developments in forensic science including the following topics: introduction to ethics, quality assurance and control, and use of scientific evidence in the legal system.

• FIS 50600 Advanced Forensic Microscopy (3 cr.) P: FIS 30600 Forensic Microscopy Lecture or equivalent skills with the permission of the instructor. Spring. Learn advanced techniques in the analysis of forensic microscopic evidence. Topics include review of common forensic laboratory microscopes such as, stereomicroscope, compound light microscope, and polarizing light microscope. Analysis of trace evidence with more complex use of microscopes and instrumental microscopy will include; mineral content in soil, dispersion of glass particles, physical matches of trace evidence, and polymer identification.

• FIS 50800 Forensic Science Laboratory Management (2 cr.) Summer. This course focuses on management of forensic science laboratories: various organizational models, budgeting and common laboratory policies. Differences in the management style for public and private sector laboratories, strategies for employee recruitment, training and retention, managing workflow and maintaining compliance with accreditation bodies.

• FIS 51100 Forensic Chemistry I (3 cr.) P: or C: FIS 50500 or Chemistry graduate student. Fall. This course will focus on the analysis and identification of commonly abused chemicals such as ethanol, controlled substances and prescription drugs. The history, legal issues, synthesis, chemical/physical properties, and laboratory analysis of these materials will be discussed. Special topics of the students' choosing will also be included in the form of student presentations. A separate laboratory section will also be offered in which students will complete practical exercises utilizing spectroscopy, chromatography and mass spectrometry that reflect common practice in forensic science laboratories.

• FIS 51101 Forensic Chemistry I Lab (1 cr.) P: or C: 50500 and 51100 or instructor consent. Fall. This laboratory section includes practical exercises utilizing spectroscopy, chromatography and mass spectrometry that reflect common practice in forensic science laboratories.

• FIS 51200 Forensic Chemistry II (3 cr.) P: FIS 51100. Spring. This course will focus on the use of instrumental techniques to analyze trace evidence types such as ink, fibers, paint, adhesives, tape, ignitable liquids, and explosives. A separate lab section will include practical laboratory exercises utilizing spectroscopy, chromatography and mass spectrometry that reflect common practice in forensic science laboratories. Special topics will also include current research such as pattern recognition techniques, novel sampling methods, and provenance determination.

• FIS 51201 Forensic Chemistry II Lab (1 cr.) P: FIS 51101 or instructor consent. P or C: FIS 51200. Spring. This laboratory section will include practical laboratory exercises utilizing spectroscopy, chromatography and mass spectrometry that reflect common practice in forensic science laboratories.

• FIS 51500 Forensic Science and the Law (3 cr.) P: Open only to graduate students in the Forensic and Investigative Sciences program, students enrolled in the IU School of Law, or by instructor permission. Application of various laws and rules of evidence to the forensic sciences and how the admission of evidence derived from forensic sciences can impact the administration of justice in the United States. Topics include preparation for testimony, expert testimony, subpoenas, basic judicial processes, admissibility of scientific evidence.

• FIS 52100 Forensic Biology I (3 cr.) P: or C: FIS 50500 or Biology graduate student. Fall. This course is an introduction to the use of biological materials to assign identity to persons associated with a crime. The course will introduce methods for the preliminary detection of biological evidence and introduce the use of DNA. The materials learned will encompass broader topics such as immunology, molecular biology, and genetics.

• FIS 52101 Forensic Biology I Lab (2 cr.) P: or C: FIS 52100. Fall. This laboratory section includes practical exercises that reflect common practice in forensic science laboratories, including but not limited to collection and preservation of biological evidence, presumptive and confirmatory tests, DNA extraction, and PCR amplification. Open only to graduate students in the Forensic and Investigative Sciences program or by instructor permission.

• FIS 52200 Forensic Biology II (3 cr.) P: FIS 52100. Spring. This course is a continuation of FIS 52100 and will go into more detail about the structure of DNA, the application of molecular biology techniques for the determination of individual identity. The materials learned will encompass broader topics such as immunology, molecular biology, genetics, population genetics and statistics.

• FIS 52201 Forensic Biology II Lab (2 cr.) P: FIS 52101. P or C: FIS 52200. Spring. This laboratory section includes practical exercises that reflect common practice in forensic science laboratories. This laboratory is a continuation of FIS 52101.

• FIS 53000 Population Genetics (3 cr.) P: Undergraduate genetics lecture and laboratory, Undergraduate statistics. Spring. This course will serve as an introduction to the principles of population genetics. The course will cover the theory behind population genetics that includes a historical perspective to the current accepted models of population theory; examine the relationships between allele and genotype frequencies, and the fundamentals of molecular evolutionary genetics.

• FIS 59000 Special Topics: Forensic and Investigative Sciences (1-6 cr.) Lecture or lecture/lab courses offered on topic areas that are not part of the regular M.S. ‎curriculum. These topics may include: firearms and tool marks, questioned documents, forensic ‎pathology, fingerprints, and others. They are electives in the M.S. in Forensic Sciences program.

• FIS 59400 Internship to Forensic Science (1 - 6 cr.) The internship provides students with an opportunity to experience the workings of a practicing forensic science laboratory. Although a research project is usually the centerpiece of the internship experience, students will be given an exposure to all sections of the laboratory including case management. Students will also have an opportunity to attend a crime scene as an observer and to attend court to observe a forensic scientist offer expert testimony.

• FIS 59700 Laboratory Project Design (6 cr.) P: FIS 50500.

  Design of a laboratory study to include a literature search, experimental plan, and final presentation and proposal. 

• FIS 69500 Seminar (0-1 cr.) Fall. Weekly seminars presented by FIS faculty, visiting faculty and FIS graduate students. Required for graduate students admitted into the M.S. in Forensic Science Program.

• FIS 69800 Research M.S. Thesis (1-10 cr.) P: Consent of instructor. Credit hours arranged.

Mathematical Sciences

Undergraduate

Lower-Division

• MATH 00100 Introduction to Algebra (4 cr.) Covers the material taught in the first year of high school algebra. Numbers and algebra, integers, rational numbers, equations, polynomials, graphs, systems of equations, inequalities, radicals. Credit does not apply toward any degree.

• MATH 11000 Fundamentals of Algebra (4 cr.) P: An appropriate ALEKS placement score taken within the last 12 months. Intended primarily for liberal arts and business majors. Integers, rational and real numbers, exponents, decimals, polynomials, equations, word problems, factoring, roots and radicals, logarithms, quadratic equations, graphing, linear equations in more than one variable, and inequalities. This course satisfies the prerequisites needed for MATH-M 118, MATH-M 119, MATH 13000, MATH 13600, and STAT 30100.

• MATH 11100 Algebra (4 cr.) Real numbers, linear equations and inequalities, systems of equations, polynomials, exponents, and logarithmic functions. Covers material in the second year of high school algebra. This course satisfies the prerequisites needed for MATH-M 118, MATH-M 119, MATH 13000, MATH 13600, MATH 15300, MATH 15400, and STAT 30100. MATH 00100 (with a minimum grade of C) or placement.

• MATH 12300 Elementary Concepts of Mathematics (3 cr.) Mathematics for liberal arts students; experiments and activities that provide an introduction to inductive and deductive reasoning, number sequences, functions and curves, probability, statistics, topology, metric measurement, and computers.

• MATH 13000 Mathematics for Elementary Teachers I (3 cr.) P: MATH 11000 or MATH 11100 taken within the last 3 terms with a grade of C- or better or an appropriate ALEKS placement score taken within last 12 months. Numeration systems, mathematical reasoning, integers, rationals, reals, properties of number systems, decimal and fractional notations, and problem solving.

• MATH 13100 Mathematics for Elementary Teachers II (3 cr.) P: MATH 13000 or MATH 13600 taken within the last 3 terms with a grade of C- or better or an appropriate ALEKS placement score taken within last 12 months. Number systems: numbers of arithmetic, integers, rationals, reals, mathematical systems, decimal and fractional notations; probability, simple and compound events, algebra review.

• MATH 13200 Mathematics for Elementary Teachers III (3 cr.) P: MATH 13000 taken within the last 3 terms with a minimum grade of C- or better or an appropriate ALEKS placement score taken within last 12 months. Rationals, reals, geometric relationships, properties of geometric figures, one-, two-, and three-dimensional measurement, and problem solving.

• MATH 13600 Mathematics for Elementary Teachers (6 cr.) P: MATH 11000 or MATH 11100 taken within the last 3 terms with a grade of C- or better or an appropriate ALEKS placement score taken within last 12 months. MATH 13600 is a one-semester version of MATH 13000 and MATH 13200. Not open to students with credit in MATH 13000 or MATH 13200.

• MATH 15300 College Algebra (3 cr.) P: MATH 11100 (not MATH 11000) taken within last 3 terms with a grade of C or better or an appopriate ALEKS placement score taken within last 12 months. MATH 15300-15400 is a two-semester version of MATH 15900. Not open to students with credit in MATH 15900. This course covers college-level algebra and, together with MATH 15400, provides preparation for MATH 16500, MATH 22100, and MATH 23100.

• MATH 15400 Trigonometry (3 cr.) P: MATH 15300 with a grade of C or better taken within the last 3 terms. MATH 15300-15400 is a two-semester version of MATH 15900. Not open to students with credit in MATH 15900. This course covers college-level trigonometry and, together with MATH 15300, provides preparation for MATH 16500, MATH 22100, and MATH 23100.

• MATH 15900 Precalculus (5 cr.) P: MATH 11100 (not MATH 11000) taken within the last 3 terms with a grade of B or better or an appropriate ALEKS placement score taken within the last 12 months.

  MATH 15900 is a one-semester version of MATH 15300-15400. Not open to students with credit in MATH 15300 or MATH 15400. This course covers college-level algebra and trigonometry and provides preparation for MATH 16500, MATH 22100, and MATH 23100.

• MATH 16500 Analytic Geometry and Calculus I (4 cr.) P: MATH 15900 (or MATH 15300 and MATH 15400) taken within the last 3 terms with a grade of C or better or an appropriae ALEKS placement score taken within last 12 months. Introduction to differential and integral calculus of one variable, with applications.

• MATH 16600 Analytic Geometry and Calculus II (4 cr.) P: MATH 16500 taken within the last 3 terms with a grade of C- or better. Continuation of MATH 16500. Inverse functions, exponential, logarithmic, and inverse trigonometric functions. Techniques of integration, applications of integration, differential equations, and infinite series.

• MATH 17100 Multidimensional Mathematics (3 cr.) P: MATH 15900 or (MATH 15300 and MATH 15400) taken within the last 3 terms with a grade of C or better or an appropriate ALEKS score taken within last 12 months. An introduction to mathematics in more than two dimensions. Graphing of curves, surfaces and functions in three dimensions. Two and three dimensional vector spaces with vector operations. Solving systems of linear equations using matrices. Basic matrix operations and determinants.

• MATH 19000 Topics in Applied Mathematics for Freshmen (3 cr.) P: Prerequisites and course material vary with the applications. Treats applied topics in mathematics at the freshman level.

• MATH 22100 Calculus for Technology I (3 cr.) P: MATH 15900 (or MATH 15300 and MATH 15400) taken within last 3 terms with a grade of C or better or an appropriate ALEKS score taken within last 12 months. Analytic geometry, the derivative and applications, and the integral and applications.

• MATH 22200 Calculus for Technology II (3 cr.) P: MATH 22100 or equivalent taken within the last 3 terms with a grade of C- or better. Differentiation of transcendental functions, methods of integration, power series, Fourier series, and differential equations.

• MATH 23100 Calculus for Life Sciences I (3 cr.) P: MATH 15900 (or MATH 15300 and MATH 15400) taken within last 3 terms with a grade of C or better or an appropriate ALEKS score taken within last 12 months. Limits, derivatives and applications. Exponential and logarithmic functions. Integrals, antiderivatives, and the Fundamental Theorem of Calculus. Examples and applications are drawn from the life sciences.

• MATH 23200 Calculus for Life Sciences II (3 cr.) P: MATH 23100 or equivalent taken within the last 3 terms with a grade of C- or better. Matrices, functions of several variables, differential equations and solutions with applications. Examples and applications are drawn from the life sciences.

• MATH 26100 Multivariate Calculus (4 cr.) P: MATH 16500, MATH 16600 and MATH 17100 taken within the last 3 terms with grades of C- or better. Spatial analytic geometry, vectors, space curves, partial differentiation, applications, multiple integration, vector fields, line integrals, Green's theorem, Stoke's theorem, and the Divergence Theorem. An honors option may be available in this course.

• MATH 26600 Ordinary Differential Equations (3 cr.) P: MATH 16500, MATH 16600 and MATH 17100 taken within the last 3 terms with grades of C- or better. C: MATH 26100. First order equations, second and n'th order linear equations, series solutions, solution by Laplace transform, systems of linear equations.

• MATH 27600 Discrete Math (3 cr.) P: or C: MATH 16500. Logic, sets, functions, integer algorithms, applications of number theory, mathematical induction, recurrence relations, permutations, combinations, finite probability, relations and partial ordering, and graph algorithms.

• MATH 29000 Topics in Applied Mathematics for Sophomores (3 cr.) P: Prerequisites and course material vary with the applications. Applied topics in mathematics at the sophomore level.

• MATH-M 118 Finite Mathematics (3 cr.) P: MATH 11100 or MATH 11000 (with a minimum grade of C-) or placement. Set theory, logic, permutations, combinations, simple probability, conditional probability, Markov chains.

• MATH-M 119 Brief Survey of Calculus I (3 cr.) P: MATH 11100 or MATH 11000 (with a minimum grade of C-) or placement. Sets, limits, derivatives, integrals, and applications.

• MATH-S 165 Honors Analytic Geometry and Calculus I (4 cr.) P: Precalculus or trigonometry and consent of instructor. This course covers the same topics as MATH 16500. However, it is intended for students having a strong background in mathematics who wish to study the concepts of calculus in more depth and who are seeking mathematical challenge.

• MATH-S 166 Honors Analytic Geometry and Calculus II (4 cr.) P: MATH-S 165 (with a minimum grade of B-) or MATH 16500 (with a minimum grade of A-), and consent of instructor. This course covers the same topics as MATH 16600. However, it is intended for students having a strong interest in mathematics who wish to study the concepts of calculus in more depth and who are seeking mathematical challenge.

• MATH-S 261 Honors Multivariate Calculus (4 cr.) P: MATH 16600 or MATH-S 166 with a minimum grade of B and MATH 17100 and permission of the instructor. This is an honors level version of third semester calculus (MATH 26100). It is intended for students who have strong motivation and a desire for additional challenge. The theory of multivariate calculus is developed as rigorously as possible and studied in greater depth than in MATH 26100.

Upper-Division

• MATH 30000 Logic and the Foundations of Algebra (3 cr.) P: or C: MATH 16600 and MATH 17100. MATH 27600 is recommended. Logic and the rules of reasoning, theorem proving. Applications to the study of the integers; rational, real, and complex numbers; and polynomials. Bridges the gap between elementary and advanced courses. This is a prerequisite for 300-level and 400-level pure mathmatics courses.

• MATH 32101 Elementary Topology (3 cr.) P: MATH 26100. Introduction to topology, including metric spaces, abstract topological spaces, continuous functions, connectedness, compactness, curves, Cantor sets, coninua, and the Baire Category Theorem. Also, an introduction to surfaces, including spheres, tori, the Mobius band, the Klein bottle and a description of their classification.

• MATH 33300 Chaotic Dynamical Systems (3 cr.) P: MATH 16600 or MATH 22200 or MATH 23200. The goal of the course is to introduce some of the spectacular new discoveries that have been made in the past twenty years in the field of mathematics known as dynamical systems. It is intended for undergraduate students in mathematics, science, or engineering. It will include a variety of computer experiments using software that is posted on the Web.

• MATH 35100 Elementary Linear Algebra (3 cr.) P: MATH 16600 and MATH 17100. Not open to students with credit in MATH 51100. Systems of linear equations, matrices, vector spaces, linear transformations, determinants, inner product spaces, eigenvalues, and applications.

• MATH 35300 Linear Algebra II with Applications (3 cr.) P: MATH 35100 or MATH 51100. This course involves the development of mathematics with theorems and their proofs. This course also includes several important applications, which will be used to create a mathematical model, prove theorems that lead to the solution of problems in the model, and interpret the results in terms of the original problem.

• MATH 37300 Financial Mathematics (3 cr.) P: MATH 26100. Fundamental concepts of financial mathematics and economics, and their application to business situations and risk management. Valuing investments, capital budgeting, valuing contingent cash flows, modified duration, convexity, immunization, financial derivatives. Provides preparation for the SOA/CAS Exam FM/2.

• MATH 39000 Topics in Applied Mathematics for Juniors (3 cr.) P: Prerequisites and course material vary with the applications. Applied topics in mathematics at the junior level.

• MATH 39800 Internship in Professional Practice (0-3 cr.) P: Approval of Department of Mathematical Sciences. Professional work experience involving significant use of mathematics or statistics. Evaluation of performance by employer and Department of Mathematical Sciences. May count toward major requirements with approval of the Department of Mathematical Sciences for a total of 6 credits.

• MATH 41400 Numerical Methods (3 cr.) P: MATH 26600 and a course in a high-level programming language. Not open to students with credit in CSCI 51200. Error analysis, solution of nonlinear equations, direct and iterative methods for solving linear systems, approximation of functions, numerical differentiation and integration, and numerical solution of ordinary differential equations.

• MATH 42100 Linear Programming and Optimization Techniques (3 cr.) P: MATH 26100 and MATH 35100. This course covers a variety of topics in operations research, including solution of linear programming problems by the simplex method, duality theory, transportation problems, assignment problems, network analysis, dynamic programming.

• MATH 42300 Discrete Modeling (3 cr.) P: MATH 26600 and MATH 35100 or MATH 51100 or consent of instructor. Linear programming, mathematical modeling of problems in economics, management, urban administration, and the behavioral sciences.

• MATH 42500 Elements of Complex Analysis (3 cr.) P: MATH 26100. Complex numbers and complex-valued functions; differentiation of complex functions; power series, uniform convergence; integration, contour integrals; elementary conformal mapping.

• MATH 42600 Introduction to Applied Mathematics and Modeling (3 cr.) P: MATH 26600 and PHYS 15200. Introduction to problems and methods in applied mathematics and modeling. Formulation of models for phenomena in science and engineering, their solutions, and physical interpretation of results. Examples chosen from solid and fluid mechanics, mechanical systems, diffusion phenomena, traffic flow, and biological processes.

• MATH 44400 Foundations of Analysis (3 cr.) P: MATH 26100. Set theory, mathematical induction, real numbers, completeness axiom, open and closed sets in Rm, sequences, limits, continuity and uniform continuity, inverse functions, differentiation of functions of one and several variables.

• MATH 44500 Foundations of Analysis II (3 cr.) P: MATH 44400. Continuation of differentiation, the mean value theorem and applications, the inverse and implicit function theorems, the Riemann integral, the fundamental theorem of calculus, point-wise and uniform convergence, convergence of infinite series, and series of functions.

• MATH 45300 Beginning Abstract Algebra (3 cr.) P: MATH 35100. Basic properties of groups, rings,and fields, with special emphasis on polynomial rings.

• MATH 45400 Galois Theory (3 cr.) P: MATH 45300. An introduction to Galois Theory, covering both its origins in the theory of roots of polynomial equation and its modern formulation in terms of abstract algebra. Topics include field extensions and their symmetries, ruler and compass constructions, solvable groups, and the solvability of polynomial equations by radical operations.

• MATH 45600 Introduction to the Theory of Numbers (3 cr.) P: MATH 26100. Divisibility, congruences, quadratic residues, Diophantine equations, and the sequence of primes.

• MATH 46200 Elementary Differential Geometry (3 cr.) P: MATH 35100. Calculus and linear algebra applied to the study of curves and surfaces. Curvature and torsion, Frenet-Serret apparatus and theorem, and fundamental theorem of curves. Transformation of R2, first and second fundamental forms of surfaces, geodesics, parallel translation, isometries, and fundamental theorem of surfaces.

• MATH 46300 Intermediate Euclidean Geometry for Secondary Teachers (3 cr.) P: MATH 30000. History of geometry. Ruler and compass constructions, and a critique of Euclid. The axiomatic method, models, and incidence geometry. Presentation, discussion and comparison of Hilbert's, Birkhoff's, and SMSG's axiomatic developments. Discussion of the teaching of Euclidean geometry.

• MATH 49000 Topics in Mathematics for Undergraduates (1-5 cr.) P: By arrangement. Open to students only with the consent of the department. Supervised reading and reports in various fields.

• MATH 49100 Seminar in Competitive Math Problem-Solving (1-3 cr.) P: Approval of the director of undergraduate programs is required. This seminar is designed to prepare students for various national and regional mathematics contests and examinations such as the Putnam Mathematical Competition, the Indiana College Mathematical Competition and the Mathematical Contest in Modeling (MCM), among others. May be repeated twice for credit.

• MATH 49200 Capstone Experience (1-3 cr.) By arrangement. Must submit Course Request Form.

• MATH 49500 TA Instruction (0 cr.) For teaching assistants. Intended to help prepare TAs to teach by giving them the opportunity to present elementary topics in a classroom setting under the supervision of an experienced teacher who critiques the presentations.

• EDUC-M 457 Methods of Teaching Senior High/Junior High/Middle School Mathematics (3 cr.) P: 30 credit hours of mathematics. Study of methodology, heuristics of problem solving, curriculum design, instructional computing, professional affiliations, and teaching of daily lessons in the domain of secondary and/or junior high/ middle school mathematics.

Advanced Undergraduate and Graduate

• MATH 50400 Real Analysis (3 cr.) P: MATH 44400

  Completeness of the real number system, basic topological properties, compactness, sequences and series, absolute convergence of series, rearrangement of series, properties of continuous functions, the Riemann-Stieltjes integral, sequences and series of functions, uniform convergence, the Stone-Weierstrass theorem, equicontinuity, and the Arzela-Ascoli theorem.

• MATH 50500 Intermediate Abstract Algebra (3 cr.)

  P: 45300. Group theory with emphasis on concrete examples and applications. Field theory: ruler and compass constructions, Galois theory, and solvability of equations by radicals.

• MATH 51000 Vector Calculus (3 cr.)

  P: 26100. Calculus of functions of several variables and of vector fields in orthogonal coordinate systems. Optimization problems, implicit function theorem, Green's theorem, Stokes's theorem, divergence theorems, and applications to engineering and the physical sciences.

• MATH 51100 Linear Algebra with Applications (3 cr.)

  P: 26100. Not open to students with credit in MATH 35100. Matrices, rank and inverse of a matrix, decomposition theorems, eigenvectors, unitary and similarity transformations on matrices.

• MATH 51400 Numerical Analysis (3 cr.)

  P: MATH 26600 and MATH 35100 or MATH 51100, or consent of instructor and familiarity with one of the high-level programming languages: Fortran 77/90/95, C, C++, Matlab. Numerical Analysis is concerned with finding numerical solutions to problems, especially those for which analytical solutions do not exist or are not readily obtainable.  This course provides an introduction to the subject and treats the topics of approximating functions by polynomials, solving linear systems of equations, and of solving nonlinear equations.  These topics are of great practical importance in science, engineering and finance, and also have intrinsic mathematical interest.  The course concentrates on theoretical analysis and on the development of practical algorighms.

• MATH 51800 Advanced Discrete Mathematics (3 cr.)

  P: 26600. This course covers mathematics useful in analyzing computer algorithms. Topics include recurrence relations, evaluation of sums, integer functions, elementary number theory, binomial coefficients, generating functions, discrete probability, and asymptotic methods.

• MATH 52000 Boundary Value Problems of Differential Equations (3 cr.)

  P: 26100 and 26600. Sturm-Liouville theory, singular boundary conditions, orthogonal expansions, separation of variables in partial differential equations, and spherical harmonics.

• MATH 52200 Qualitative Theory of Differential Equations (3 cr.)

  P: 26600 and 35100. Nonlinear ODEs, critical points, stability and bifurcations, perturbations, averaging, nonlinear oscillations and chaos, and Hamiltonian systems.

• MATH 52300 Introduction to Partial Differential Equations (3 cr.)

  P: 26600 and 26100 or 51000. Method of characteristics for quasilinear first-order equations, complete integral, Cauchy-Kowalewsky theory, classification of second-order equations in two variables, canonical forms, difference methods of hyperbolic and parabolic equations, and Poisson integral method for elliptic equations.

• MATH 52500 Introduction to Complex Analysis (3 cr.) P: MATH 26100 and MATH 26600. Instructor consent required for any undergraduate student.

  Complex numbers and complex-valued functions; differentiation of complex functions; power series, uniform convergence; integration, contour integrals; and elementary conformal mapping.

• MATH 52800 Advanced Mathematics for Engineering and Physics II (3 cr.) P: MATH 53700

  Divergence theorem, Stokes's Theorem, complex variables, contour integration, calculus of residues and applications, conformal mapping, and potential theory.

• MATH 53000 Functions of a Complex Variable I (3 cr.)

  P or C: MATH 54400. Complex numbers, holomorphic functions, harmonic functions, and linear transformations. Power series, elementary functions, Riemann surfaces, contour integration, Cauchy's theorem, Taylor and Laurent series, and residues. Maximum and argument principles. Special topics.

• MATH 53100 Functions of a Complex Variable II (3 cr.) P: MATH 53000

  Compactness and convergence in the space of analytic functions, Riemann mapping theorem, Weierstrass factorization theorem, Runge's theorem, Mittag-Leffler theorem, analytic continuation and Riemann surfaces, and Picard theorems.

• MATH 53700 Applied Mathematics for Scientists and Engineers I (3 cr.) P: MATH 26100 and MATH 26600.

  Covers theories, techniques, and applications of partial differential equations, Fourier transforms, and Laplace transforms. Overall emphasis is on applications to physical problems.

• MATH 54400 Real Analysis and Measure Theory (3 cr.) P: MATH 44400

  Algebras of sets, real number system, Lebesgue measure, measurable functions, Lebesgue integration, differentiation, absolute continuity, Banach spaces, metric spaces, general measure and integration theory, and Riesz representation theorem.

• MATH 54500 Principles of Analysis II (3 cr.) P: MATH 54400

  Continues the study of measure theory begun in 54400.

• MATH 54600 Introduction to Functional Analysis (3 cr.) P: MATH 54500

  Banach spaces, Hahn-Banach theorem, uniform boundedness principle, closed graph theorem, open mapping theorem, weak topology, and Hilbert spaces.

• MATH 54700 Analysis for Teachers I (3 cr.) P: MATH 26100

  Set theory, logic, relations, functions, Cauchy's inequality, metric spaces, neighborhoods, and Cauchy sequence.

• MATH 54900 Applied Mathematics for Secondary School Teachers (3 cr.) P: MATH 26600 and MATH 35100.

  Applications of mathematics to problems in the physical sciences, social sciences, and the arts. Content varies. May be repeated for credit with the consent of the instructor. Course is offered on an as needed basis.

• MATH 55200 Applied Computational Methods II (3 cr.)

  P: 55900 and consent of instructor. The first part of the course focuses on numerical integration techniques and methods for ODEs. The second part concentrates on numerical methods for PDEs based on finite difference techniques with brief surveys of finite element and spectral methods.

• MATH 55300 Introduction to Abstract Algebra (3 cr.) P: 45300 Group theory: finite abelian groups, symmetric groups, Sylow theorems, solvable groups, Jordan-Holder theorem. Ring theory: prime and maximal ideals, unique factorization rings, principal ideal domains, Euclidean rings, and factorization in polynomial and Euclidean rings. Field theory: finite fields, Galois theory, and solvability by radicals.

• MATH 55400 Linear Algebra (3 cr.)

  P: 35100. Review of basics: vector spaces, dimension, linear maps, matrices, determinants, and linear equations. Bilinear forms, inner product spaces, spectral theory, and eigenvalues. Modules over principal ideal domain, finitely generated abelian groups, and Jordan and rational canonical forms for a linear transformation.

• MATH 55555 Introduction to Biomathematics (3 cr.)

  P: MATH 26600, MATH 35100 (or MATH 51100), MATH 42600, or consent of instructor. The class will explore how mathematical methods can be applied to study problems in life-sciences. No prior knowledge of life-sciences is required. Wide areas of mathematical biology will be covered at an introductory level. Several selected topics, such as dynamical systems and partial differential equations in neuroscience and physiology, and mathematical modeling of biological flows and tissues, will be explored in depth.

• MATH 55900 Applied Computational Methods I (3 cr.)

  P: 26600 and 35100 or 51100. Computer arithmetic, interpolation methods, methods for nonlinear equations, methods for solving linear systems, special methods for special matrices, linear least square methods, methods for computing eigenvalues, iterative methods for linear systems; methods for systems of nonlinear equations.

• MATH 56100 Projective Geometry (3 cr.)

  P: 35100. Projective invariants, Desargues' theorem, cross-ratio, axiomatic foundation, duality, consistency, independence, coordinates, and conics.

• MATH 56200 Introduction to Differential Geometry and Topology (3 cr.) P: 35100 and 44500. Smooth manifolds, tangent vectors, inverse and implicit function theorems, submanifolds, vector fields, integral curves, differential forms, the exterior derivative, DeRham cohomology groups, surfaces in E3, Gaussian curvature, two-dimensional Riemannian geometry, and Gauss-Bonnet and Poincare theorems on vector fields.

• MATH 56300 Advanced Geometry (3 cr.)

  P: 30000 or consent of instructor. Topics in Euclidean and non-Euclidean geometry.

• MATH 56700 Dynamical Systems I (3 cr.)

  P: 54500 and 57100. Covers the basic notions and theorems of the theory of dynamical systems and their connections with other branches of mathematics. Topics covered include fundamental concepts and examples, one-dimensional systems, symbolic dynamics, topological entropy, hyperbolicity, structural stability, bifurcations, invariant measures, and ergodicity.

• MATH 57100 Elementary Topology (3 cr.)

  P: 44400. Topological spaces, metric spaces, continuity, compactness, connectedness, separation axioms, nets, and function spaces.

• MATH 57200 Introduction to Algebraic Topology (3 cr.)

  P: 57100. Singular homology theory, Ellenberg-Steenrod axioms, simplicial and cell complexes, elementary homotopy theory, and Lefschetz fixed point theorem.

• MATH 57400 Mathematical Physics I (1-3 cr.)

  P: 53000 and 54500. Covers the basic concepts and theorems of mathematical theories that have direct applications to physics.  Topics to be covered include special functions ODEs and PDEs of mathematical physics, groups and manifolds, mathematical foundations of statistical physics.

• MATH 57800 Mathematical Modeling of Physical Systems I (3 cr.)

  P: 26600, PHYS 15200, PHYS 25100, and consent of instructor. Linear systems modeling, mass-spring-damper systems, free and forced vibrations, applications to automobile suspension, accelerometer, seismograph, etc., RLC circuits, passive and active filters, applications to crossover networks and equalizers, nonlinear systems, stability and bifurcation, dynamics of a nonlinear pendulum, van der Pol oscillator, chemical reactor, etc., introduction to chaotic dynamics, identifying chaos, chaos suppression and control, computer simulations, and laboratory experiments.

• MATH 58100 Introduction to Logic for Teachers (3 cr.)

  P: 35100. Logical connectives, rules of sentential inference, quantifiers, bound and free variables, rules of inference, interpretations and validity, theorems in group theory, and introduction to set theory.

• MATH 58300 History of Elementary Mathematics (3 cr.)

  P: 26100. A survey and treatment of the content of major developments of mathematics through the eighteenth century, with selected topics from more recent mathematics, including non-Euclidean geometry and the axiomatic method.

• MATH 58700 General Set Theory (3 cr.)

  P: MATH 35100 or equivalent proof course in Linear Algebra. An introduction to set theory, including both so-called "naive" and formal approaches, leading to a careful development using the Zermelo-Fraenkel axioms for set theory and an in-depth discussion of cardinal and ordinal numbers, the Axiom of Choice, and the Continuum Hypothesis.

• MATH 58800 Mathematical Modeling of Physical Systems II (3 cr.)

  P: 57800. Depending on the interests of the students, the content may vary from year to year. Emphasis will be on mathematical modeling of a variety of physical systems. Topics will be chosen from the volumes Mathematics in Industrial Problems by Avner Friedman. Researchers from local industries will be invited to present real-world applications. Each student will undertake a project in consultation with one of the instructors or an industrial researcher.

• MATH 59800 Topics in Mathematics (1 - 6 cr.)

  By arrangement. Directed study and reports for students who wish to undertake individual reading and study on approved topics.

• MATH 53500 Theoretical Mechanics (3 cr.) P: MATH 2600 and MATH 35100 or MATH 511 or consent of the instructor.

  Continuum mechanics deals with the analysis of the motion of materials modeled as a continuous mass rather than as discrete particles. Applications of continuum mechanics are ubiquitous in science and engineering, and are getting more and more popular in medicine too. The goal of this course is to study the basic principles of continuum mechanics for deformable bodies, including conservation laws and constitutive equations, while discussing the mathematical challenges in solving these equations analytically and/or numerically.

• MATH 58500 History of Elementary Mathematics (3 cr.) P: MATH 35100 or an undergraduate proof course; MATH 58700 recommended. Formal theories for propositional and predicate calculus with study of models, completeness, and compactness. Formalization of elementary number theory; Turing machines, halting problem, and the undecidability of arithmetic.

• MATH 52600 Introduction to Applied Mathematics and Modelling (3 cr.) P: MATH 26600 and MATH 42600

  Ordinary and partial differential equations of physical problems, simplification, dimensional analysis, scaling, regular and singular perturbation theory, variational formulation of physical problems, continuum mechanics, and fluid flow.

Graduate

• MATH 61100 Methods of Applied Mathematics I (3 cr.)

  P: consent of instructor. Introduction to Banach and Hilbert spaces, linear integral equations with Hilbert-Schmidt kernels, eigenfunction expansions, and Fourier transforms.

• MATH 61200 Methods of Applied Mathematics II (3 cr.)

  P: 61100. Continuation of theory of linear integral equations; Sturm-Liouville and Weyl theory for second-order differential operators, distributions in n dimensions, and Fourier transforms.

• MATH 64600 Functional Analysis (3 cr.)

  P: 54600. Advanced topics in functional analysis, varying from year to year at the discretion of the instructor.

• MATH 66700 Dynamical Systems II (3 cr.)

  P: 56700. Topics in dynamics. Continuation of MATH 56700.

• MATH 67200 Algebraic Topology I (3 cr.)

  P: 57200. Continuation of 57200; cohomology, homotopy groups, fibrations, and further topics.

• MATH 67300 Algebraic Topology II (3 cr.)

  P: 67200. continuation of 67200, covering further advanced topics in algebraic and differential topology such as K-theory and characteristic classes.

• MATH 67400 Mathematical Physics II (3 cr.)

  P: 57400. MATH 67400 is a continuation of MATH 57400, Mathematical Physics I. Students should learn more advanced notions and theorems of various mathematical theories that have direct applications to physics.

• MATH 69200 Topics in Applied Mathematics (1-3 cr.) Research topics of current interest in applied mathematics to be chosen by the instructor.

• MATH 69300 Topics in Analysis (1-3 cr.) P: Department consent required. Research topics in analysis and their relationships to other branches of mathematics. Topics of current interest will be chosen by the instructor.

• MATH 69400 Topics in Differential Equations (1-3 cr.) P: MATH 55400 and MATH 53000. Department consent required. Research topics in differential equations related to physics and engineering. Topics of current interest will be chosen by the instructor.

• MATH 69700 Topics in Topology (1-3 cr.) Research topics in topology and their relationships to other branches of mathematics. Topics of current interest will be chosen by the instructor.

• MATH 69900 Research Ph.D. Thesis (Arr. cr.)

• MATH 62600 Mathematical Formulation of Physical Problems I (3 cr.) P: Advanced calculus or vector calculus, partial differential equations, linear algebra.

  Nature of applied mathematics, deterministic systems and ordinary differential equations, random processes and partial differential equations, Fourier analysis, dimensional analysis and scaling.

• MATH 62700 Mathematical Formulation of Physical Problems II (3 cr.) P: MATH 62600 Theories of continuous fields, continuous medium, field equations of continuum mechanics, inviscid fluid flow, viscous flow, turbulence. Additional topics to be discussed include application of the theory of dynamical systems, methods for analysis of nonlinear ordinary and partial differential equations, and others. This course is an advancement of topics covered in MATH 62600.

Statistics

Undergraduate

• STAT 19000 Topics in Statistics for Undergraduates (1-5 cr.) Supervised reading course or special topics course at the freshman level. Prerequisites and course material vary with the topic.

• STAT 29000 Topics in Statistics for Undergraduates (3 cr.) Supervised reading course or special topics course at the sophomore level. Prerequisites and course material vary with the topic.

• STAT 30100 Elementary Statistical Methods I (3 cr.) P: MATH 11000 or 11100 taken within last 3 terms with a grade of C or better or an appropriate ALEKS placement score. Not open to students in the Department of Mathematical Sciences. Introduction to statistical methods with applications to diverse fields. Emphasis on understanding and interpreting standard techniques. Data analysis for one and several variables, design of samples and experiments, basic probability, sampling distributions, confidence intervals and significance tests for means and proportions, and correlation and regression. Software is used throughout.

• STAT 35000 Introduction to Statistics (3 cr.) P: MATH 16600. A data-oriented introduction to the fundamental concepts and methods of applied statistics. The course is intended primarily for majors in the mathematical sciences (mathematics, actuarial sciences, mathematics education). The objective is to acquaint the students with the essential ideas and methods of statistical analysis for data in simple settings. It covers material similar to that of 51100 but with emphasis on more data-analytic material. Includes a weekly computing laboratory using Minitab.

• STAT 37100 Prep for Actuarial Exam I (2 cr.) This course is intended to help actuarial students prepare for the SOA/CAS Exam P/1.

• STAT 39000 Topics in Statistics for Undergraduates (3 cr.) Supervised reading course or special topics course at the junior level. Prerequisites and course material vary with the topic.

• STAT 41600 Probability (3 cr.) P: MATH 26100. An introduction to mathematical probability suitable as preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability, Bayes theorem, discrete and continuous random variables, moments and moment generating functions, continuous distributions and their properties, law of large numbers, and central limit theorem.

• STAT 41700 Statistical Theory (3 cr.) P: 41600. C: 35000. An introduction to the mathematical theory of statistical inference, emphasizing inference for standard parametric families of distributions. Properties of estimators. Bayes and maximum likelihood estimation. Sufficient statistics. Properties of test of hypotheses. Most powerful and likelihood-ratio tests. Distribution theory for common statistics based on normal distributions.

• STAT 47200 Actuarial Models I (3 cr.) P: 41700 or equivalent. Mathematical foundations of actuarial science emphasizing probability models for life contingencies as the basis for analyzing life insurance and life annuities and determining premiums. This course, together with its sequel, STAT 47300, provides most of the background for Exams MLC and MFE of the Society of Actuaries.

• STAT 47300 Actuarial Models II (3 cr.) P: 47200. Continuation of 47200. Together, these courses cover contingent payment models, survival models, frequency and severity models, compound distribution models, simulation models, stochastic process models, and ruin models.

• STAT 47900 Loss Models (3 cr.) P: STAT 41700 and STAT 47200 and STAT 47300. This material provides an introduction to modeling and covers important actuarial methods that are useful in modeling. Students will be introduced to survival, severity, frequency and aggregate models, and use statistical methods to estimate parameters of such models given sample data. The student will further learn to identify steps in the modeling process, understand the underlying assumptions implicit in each family of models, recognize which assumptions are applicable in a given business application, and appropriately adjust the models for impact of insurance coverage modifications. The student will be introduced to a variety of tools for the calibration and evaluation of the models. Permission of instructor required.

• STAT 49000 Topics in Statistics for Undergraduates (1-5 cr.) Supervised reading and reports in various fields.

• STAT 42100 Modern Statistical Modeling Using R and SAS (3 cr.) P: STAT 41700 or equivalent. An introductory course on statistical computation. The primary goals of this course are (i) to introduce popular statistical software SAS and R and to develop basic data analysis skills, and (ii) to introduce basic statistical computation methods used in applications.

• STAT 43200 Introduction to Stochastic Process and Probability Modeling (3 cr.) P: STAT 41600 or equivalent. The course builds on elementary probability theory and introduces stochastic processes applied to the study of phenomena in fields such as engineering, computer science, management science, the life, physical and social sciences, and operations research. The approach is heuristic and non-rigorous. It develops students’ intuitive feel for the subject and enables them to think probabilistically. Computation is emphasized and requires use of software such as Excel, MINITAB, and R.

• STAT 43301 Introduction to Nonparametric Statistics (3 cr.) P: STAT 41700 and STAT 42100 or equivalents. The course acquaints students with rank-based, permutation-based and resampling-based methods of statistical analysis used in widely applicable settings where the data do not follow parametric models. It extends techniques taught in STAT 51100, where the normal theory is assumed, to situations where the normal theory does not hold. It includes computer projects which use statistical software such as R and SAS.

• STAT 48000 Credibility and Simulation (3 cr.) P: STAT 47900 A continuation of the material covered in STAT 47900, including Credibility Theory and Simulation calibration and evaluation of the models.

• STAT N501 Statistical Methods for Health Sciences (3 cr.) P: MATH 15300 An introductory statistical methods course, with emphasis on applications in the health sciences. Topics include descriptive statistics, probability distributions, sampling distributions, confidence interval estimation, hypothesis testing, analysis of variance, linear regression, goodness-of-fit tests, and contingency tables.

Advanced Undergraduate and Graduate

• STAT 51100 Statistical Methods I (3 cr.) P: MATH 16500. Descriptive statistics; elementary probability; random variables and their distributions; expectation; normal, binomial, Poisson, and hypergeometric distributions; sampling distributions; estimation and testing of hypotheses; one-way analysis of variance; and correlation and regression.

• STAT 51200 Applied Regression Analysis (3 cr.) P: 51100. Inference in simple and multiple linear regression, estimation of model parameters, testing, and prediction. Residual analysis, diagnostics and remedial measures. Multicollinearity. Model building, stepwise, and other model selection methods. Weighted least squares. Nonlinear regression. Models with qualitative independent variables. One-way analysis of variance. Orthogonal contrasts and multiple comparison tests. Use of existing statistical computing package.

• STAT 51300 Statistical Quality Control (3 cr.) P: 51100. Control charts and acceptance sampling, standard acceptance plans, continuous sampling plans, sequential analysis, and response surface analysis. Use of existing statistical computing packages.

• STAT 51400 Designs of Experiments (3 cr.) Fundamentals, completely randomized design, and randomized complete blocks. Latin squares, multiclassification, factorial, nested factorial, incom-plete blocks, fractional replications, confounding, general mixed factorial, split-plot, and optimum design. Use of existing statistical computing packages.

• STAT 51500 Statistical Consulting Problems (1-3 cr.) P: Consent of advisor. Consultation on real-world problems involving statistical analysis under the guidance of a faculty member. A detailed written report and an oral presentation are required.

• STAT 51600 Basic Probability and Applications (3 cr.) P: MATH 26100. Instructor consent required for any undergraduate student. A first course in probability intended to serve as a foundation for statistics and other applications. Intuitive background; sample spaces and random variables; joint, conditional, and marginal distributions; special distributions of statistical importance; moments and moment generating functions; statement and application of limit theorems; and introduction to Markov chains.

• STAT 51700 Statistical Inference (3 cr.) P: 51100 or 51600. A basic course in statistical theory covering standard statistical methods and their applications. Includes unbiased, maximum likelihood, and moment estimation; confidence intervals and regions; testing hypotheses for standard distributions and contingency tables; and introduction to nonparametric tests and linear regression.

• STAT 51900 Introduction to Probability (3 cr.) P: MATH 26100. Sample spaces and axioms of probability, conditional probability, independence, random variables, distribution functions, moment generating and characteristics functions, special discrete and continuous distributions--univariate and multivariate cases, normal multivariate distributions, distribution of functions of random variables, modes of convergence and limit theorems, including laws of large numbers and central limit theorem.

• STAT 52000 Time Series and Applications (3 cr.) P: 51900. A first course in stationary time series with applications in engineering, economics, and physical sciences. Stationarity, autocovariance function and spectrum; integral representation of a stationary time series and interpretation; linear filtering; transfer function models; estimation of spectrum; and multivariate time series. Use of existing statistical computing packages.

• STAT 52100 Statistical Computing (3 cr.) C: 51200 or equivalent. A broad range of topics involving the use of computers in statistical methods. Collection and organization of data for statistical analysis; transferring data between statistical applications and computing platforms; techniques in exploratory data analysis; and comparison of statistical packages.

• STAT 52200 Sampling and Survey Techniques (3 cr.) P: 51200. Survey designs; simple random, stratified, and systematic samples; systems of sampling; methods of estimation; ratio and regression estimates; and costs. Other related topics as time permits.

• STAT 52300 Categorical Data Analysis (3 cr.) P: 52800. Models generating binary and categorical response data, two-way classification tables, measures of association and agreement, goodness-of-fit tests, testing independence, large sample properties. General linear models, logistic regression, and probit and extreme value models. Loglinear models in two and higher dimensions; maximum likelihood estimation, testing goodness-of-fit, partitioning chi-square, and models for ordinal data. Model building, selection, and diagnostics. Other related topics as time permits. Computer applications using existing statistical software.

• STAT 52400 Applied Multivariate Analysis (3 cr.) Extension of univariate tests in normal populations to the multivariate case, equality of covariance matrices, multivariate analysis of variance, discriminant analysis and misclassification errors, canonical correlation, principal components, and factor analysis. Strong emphasis on the use of existing computer programs.

• STAT 52500 Intermediate Statistical Methodology (3 cr.) C: STAT 52800 or equivalent, or consent of instructor. Generalized linear models, likelihood methods for data analysis, and diagnostic methods for assessing model assumptions. Methods covered include multiple regression, analysis of variance for completely randomized designs, binary and categorical response models, and hierarchical loglinear models for contingency tables.

• STAT 52501 Generalized Linear Models (3 cr.) P: 52800 or equivalent, or consent of instructor. Generalized linear models, likelihood methods for data analysis, and diagnostic methods for assessing model assumptions. Methods covered include multiple regression, analysis of variance for completely randomized designs, binary and categorical response models, and hierarchical loglinear models for contingency tables.

• STAT 52800 Mathematical Statistics (3 cr.) P: 51900. Sufficiency and completeness, the exponential family of distributions, theory of point estimation, Cramer-Rao inequality, Rao-Blackwell Theorem with applications, maximum likelihood estimation, asymptotic distributions of ML estimators, hypothesis testing, Neyman-Pearson Lemma, UMP tests, generalized likelihood ratio test, asymptotic distribution of the GLR test, and sequential probability ratio test.

• STAT 52900 Applied Decision Theory and Bayesian Analysis (3 cr.) P: STAT 52800. Foundation of statistical analysis, Bayesian and decision theoretic formulation of problems; construction of utility functions and quantifications of prior information; methods of Bayesian decision and inference, with applications; empirical Bayes; combination of evidence; and game theory and minimax rules, Bayesian design, and sequential analysis. Comparison of statistical paradigms.

• MATH 53200 Elements of Stochastic Processes (3 cr.) P: 51900. A basic course in stochastic models including discrete and continuous time processes, Markov chains, and Brownian motion. Introduction to topics such as Gaussian processes, queues and renewal processes, and Poisson processes. Application to economic models, epidemic models, and reliability problems.

• STAT 53300 Nonparametric Statistics (3 cr.) P: 51600. Binomial test for dichotomous data, confidence intervals for proportions, order statistics, one-sample signed Wilcoxon rank test, two-sample Wilcoxon test, two-sample rank tests for dispersion, and Kruskal-Wallis test for one-way layout. Runs test and Kendall test for independence, one- and two-sample Kolmogorov-Smirnov tests, and nonparametric regression.

• STAT 53600 Introduction to Survival Analysis (3 cr.) P: 51700. Deals with the modern statistical methods for analyzing time-to-event data. Background theory is provided, but the emphasis is on the applications and the interpretations of results. Provides coverage of survivorship functions and censoring patterns; parametric models and likelihood methods, special life-time distributions; nonparametric inference, life tables, estimation of cumulative hazard functions, and the Kaplan-Meier estimator; one- and two-sample nonparametric tests for censored data; and semiparametric proportional hazards regression (Cox Regression), parameters' estimation, stratification, model fitting strategies, and model interpretations. Heavy use of statistical software such as Splus and SAS.

• STAT 59800 Topics in Statistical Methods (0 - 6 cr.) P: consent of instructor. Directed study and reports for students who wish to undertake individual reading and study on approved topics.

• STAT 61900 Probability Theory (3 cr.) P: STAT 51900 Probability Theory is the foundation of statistical methodologies, which is fundamental in the practice of science. From this course students will get a precise mathematical understanding of probabilities and sigma-algebras, random weak convergence, characteristic functions, the central limit theorem, Lobesgue decomposition, conditioning and martingales.

• STAT 62800 Advanced Statistical Inference (3 cr.) P: STAT 51900, 52800, C: STAT 61900. Real analysis for inference, statistics and subfields, conditional expectations and probability distributions, UMP tests with applications to normal distributions and confidence sets, invariance, asymptotic theory of estimation and likelihood based inference, U-statistics, Edgeworth expansions, saddle point method.

• STAT 69800 Research M.S. Thesis (6 cr.) P: Consent of advisor. M.S. thesis in Applied Statistics.

Biostatistics

• PBHL-B 515 Biostatistical Practicum (1-3 cr.) P: STAT 52100, PBHL-B527, PBHL-B546. Real-world projects in biostatistics involving participation in consulting sessions, directed reading in the literature, research ethics, design of experiments, collection of data and applications of biostatistical methods. Detailed written and oral reports required. May be repeated, up to 6 credits.

• PBHL-B 527 Introduction to Clinical Trials (3 cr.) P: STAT 51200, exposure to survival analysis; or consent of instructor. Prepares biostatisticians for support of clinical trial projects. Topics: fundamental aspects of the appropriate design and conduct of medical experiments involving human subjects including ethics, design, sample size calculation, randomization, monitoring, data collection analysis and reporting of the results.

• PBHL-B 530 Statistical Methods in Bioinformatics (3 cr.) P: STAT 51200, STAT 51900; or consent of instructor. Covers a broad range of statistical methods used in many areas of bioinformatics research, including sequence alignment, genome sequencing and gene finding, gene expression microarray analysis, transcriptional regulation and sequence motif finding, comparative genomics, and proteomics.

• PBHL-B 626 Advanced Likelihood Theory (3 cr.) P: STAT 51900, STAT 52800. This course covers theoretical foundation of statistical inference with focus on likelihood theory and its application on biomedical studies. It provides a good preparation for advanced biostatistics courses such as Advanced GLM, Advanced Longitudinal Data Analysis, and Advanced Survival Analysis.

• PBHL-B 616 Advanced Statistical Computing (3 cr.) P: STAT 512, experience with R/Splus programming. This course will cover selected computational techniques useful in advanced statistical applications and statistical research. Topics to be covered include methods for solving linear equations, numerical optimization, numerical integration, Expectation-Maximization (EM) algorithm, Monte Carlo method, Bayesian methods, bootstrap methods and stochastic search algorithms.

• PBHL-B 627 Statistics in Pharmaceutical Research (3 cr.) P: STAT 51200, PBHL-B527, PBHL-B546 This course is designed to strengthen the ties between industry and academia by introducing participants to the borad specturm of issues surrounding the drug development process in the pharmaceutical industry.

• BIOS-S 636 Advanced Survival Analysis (3 cr.) P: STAT 52800, STAT 62800. Addresses the counting process approach to the analysis of censored failure time data.  Standard statistical methods in survival analysis will be examined.

• PBHL-B 646 Advanced Generalized Linear Models (3 cr.) P: PBHL-B546. The theory of classical and modern approaches to the analysis of clustered data, repeated measures, and longitudinal data.

• PBHL-B 612 Modern Statistical Learning Methods (3 cr.) P: STAT 52500. This course covers the various topics pertaining to the modern methods of high-dimensional data analysis. 

• PBHL-B 698 Advanced Biostatistics Topics (1-3 cr.) P: Consent of instructor. This course has a variable title and can be offered for variable credits. Similar to topics courses offered in other IUPUI programs, this course offers an introduction to a variety of public health topics and current issues will be covered in this course.

• PBHL-B 699 Ph.D. Thesis/Research (1-15 cr.) P: Must have been admitted to candidacy. Research required by the graduate students for the sole purpose of writing a Ph.D. Dissertation.

• BIOS-S 634 Stochastic Modeling in Biomedical and Health Sciences (3 cr.) P: STAT 52800. The aim of this course is to develop those aspects of stochastic processes that are relevant for modeling important problems in health sciences. Among the topics to be covered are: Poisson processes, birth and death processes, Markov chains and processes, semi-Markov processes, modeling by stochastic diffusions. Applications will be made to models of prevalence and incidence of disease, therapeutic clinical trials, clinical trials for prevention of disease, length biased sampling, models for early detection of disease, cell kinetics and family history problems.

• PBHL-B 574 Applied Longitudinal data Anlysis (3 cr.) P: STAT 51200, STAT 52500; or permission of instructor. This course covers modern methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including the unbalanced and incomplete data  frequently encountered in biomedical research. Class presentations and homework assignments will focus on data analysis in SAS using PROC GLM, PROC MIXED, PROC GENMOD, and PROC NLMIXED.

• PBHL-B 587 Applied Longitudinal Data Analysis (3 cr.) P: Undergraduate statistics course and familiarity with statistical inference. This course will develop the student's ability to understand the pharmacokinetic/pharmacodynamic model, perform hypothesis tests and provide the interpretation of the data.

• PBHL-B 688 Theory of Statistical Genetics (3 cr.) P: Graduate level statistic courses (such as PBHL-B 527, 546 and 536) This course is desgined to provide solid training in statistical theory used in genetic analyses.

Physics

Astronomy

• AST-A 100 The Solar System (3 cr.) Fall. Survey of the solar system, including the Earth, sun, moon, eclipses, planets and their satellites, comets, laws of planetary motion, etc. Discussion of the origin of the solar system, life on earth, and the possibilities of extraterrestrial life. Also astronomical instruments and celestial coordinates.

• AST-A 103 Search for Life in the Universe (3 cr.) Spring. Explores the origin, nature, and history of life on Earth, prospects for life in our own and other planetary systems, extra solar planet detection, and the possibility of other technological civilizations.

• AST-A 105 Stars and Galaxies (3 cr.) Spring. Survey of the universe beyond the solar system, including stars, pulsars, black holes, principles of spectroscopy and the H-R diagram, nebulae, the Milky Way, other galaxies, quasars, expanding universe, cosmology, and extraterrestrial life.

• AST-A 130 Short Courses in Astronomy (1 cr.) Five-week short courses on a variety of topics in astronomy. Examples of topics include: the Big Bang, Black Holes, Astronomy from your Backyard, How to See Stars, and The Birth and Death of Our Sun.

• AST-A 205 Quasars, Pulsars, Black Holes (3 cr.) P: Introductory High School mathematics. Fall, day. For both science and non-science majors interested in astronomy. Surveys stars of all types and their life cycles. Includes the H-R diagram, star clusters, and exploration of our own sun. Discussion of relativistic effects on certain astronomical objects and on human space exploration.

Undergraduate

• PHYS 01000 Pre-Physics (3 cr.) P: MATH 15900, or MATH 15300 and MATH 15400, or equivalent. Fall, Spring. For students not ready to take the algebra- and trigonometry-based courses in physics (PHYS 21800 and PHYS-P 201). Basic concepts of physics. Methods of analyzing physics problems. Setting up equations for physics problems. Interpreting information in physics problems. Analyzing and presenting the results of laboratory measurements. Extensive drill in these topics.

• PHYS 10000 Physics in the Modern World (5 cr.) P: Introductory high school mathematics. Spring, day. Ideas, language, methods, and impact of physics today.

• PHYS 12100 How to Solve a Problem without Solving the problem (2 cr.) P: Consent of instructor. Fall. This course teaches students how to formulate a research question and start doing research with their current knowledge. Enrollment with permission of the instructor.

• PHYS 12200 How To Know When You Are Right (2 cr.) P: PHYS 12100 or consent of instructor. Spring. This course continues developing students' capabilities to perform research. Prerequisite PHYS 12100. Enrollment with the permission of the instructor.

• PHYS 14000 Short Courses in Physics (1 cr.) Five-week courses on a variety of topics related to the physical world. Examples of topics include: Waves and Particles Are the Same Thing, Relativity, Quarks and Other Inhabitants of the Zoo, Why Things Work and Why They Don't, Lasers and Holography, and Physics of Star Trek.

• PHYS 15200 Mechanics (4 cr.) P: or C: MATH 16600. Equiv. IU PHYS-P 221. Fall, day; Spring, day, night; Summer, day. Statics, uniform and accelerated motion; Newton's laws; circular motion; energy, momentum, and conservation principles; dynamics of rotation; gravitation and planetary motion; properties of matter; and simple harmonic and wave motion.

• PHYS 15250 Honors Mechanics Seminar (1 cr.) P: Department consent. C: PHYS 15200. The primary goal of the course is to enrich the student's experience in PHYS 15200 by presenting a topic not traditionally covered in first-year physics, such as special relativity, quantum mechanics, or particle physics. The course will meet weekly for 50 minutes, during which time there will be a lecture and/or a class discussion. The course will carry honor's credit.

• PHYS 20000 Our Physical Environment (3 cr.) Fall, night; Spring, night. A nonmathematical introduction to physical concepts and methods by means of examples from daily life and current technological applications.

• PHYS 21800 General Physics (4 cr.) P: MATH 15900 or equivalent. Fall, night; Spring, night; Summer, day. Mechanics, conservation laws, gravitation; simple harmonic motion and waves; kinetic theory, heat, and thermodynamics for students in technology fields.

• PHYS 21900 General Physics (4 cr.) P: PHYS 21800. Fall, night; Spring, night; Summer, day. Electricity, light, and modern physics.

• PHYS 25100 Heat, Electricity, and Optics (5 cr.) P: Either PHYS-P 201 or PHYS 15200 and MATH 16500, MATH 16600 and MATH 17100. P or C: MATH 26100 or MATH 26600. Equiv. IU PHYS-P 222. Fall, day, night; spring, day; summer, day. Heat, kinetic theory, elementary thermodynamics, and heat transfer. Electrostatics, electrical currents and devices. Magnetism, electromagnetic radiation, optics.

• PHYS 28500 Introduction to Biophysics (3 cr.) P: MATH 16600 or MATH 22200 or MATH 23200.

  This course is an introduction to biophysics. The goal is to present important biological phenomena from a physics perspective. Briefly, we will begin with a review of biology from single molecules to cells with an emphasis on time scales and length scales. We will subsequently explore both static and dynamical phenomena in biology.

• PHYS 29000 Special Assignments (0 - 3 cr.) P: Permission of instructor required. Readings, discussions, written reports, or laboratory work selected for enrichment in special areas of physics.

• PHYS 29900 Introduction to Computational Physics (2 cr.) P: PHYS 15200. Fall. Application of computational techniques to physical concepts. Topics include mechanics, oscillations, chaos, random processes, etc.

• PHYS 30000 Introduction to Elementary Mathematical Physics (3 cr.) P: PHYS-P 202 or PHYS 25100, and MATH 26100. Spring. Brief but practical introduction to various mathematical methods used in intermediate-level physics courses. Vector analysis, orthogonal coordinate systems, matrices, Fourier methods, complex numbers, special functions, and computational methods. Emphasis will be on examples and the application of these methods to physics problems.

• PHYS 31000 Intermediate Mechanics (4 cr.) P: PHYS-P 202 or PHYS 25100 and PHYS 30000 or MATH 26600. Fall. For students familiar with calculus. Elements of vector algebra; statics of particles and rigid bodies; theory of couples; principle of virtual work; kinematics; dynamics of particles and rigid bodies; work, power, and energy; and elements of hydromechanics and elasticity.

• PHYS 33000 Intermediate Electricity and Magnetism (3 cr.) P: PHYS-P 202 or PHYS 25100 and PHYS 30000 or MATH 26600. Spring. Electrostatics; electric currents; magnetostatics; electromagnetic induction; Maxwell's equations; electromagnetic waves.

• PHYS 34200 Modern Physics (3 cr.) P: PHYS-P 202 or PHYS 25100 and MATH 26100. Equiv. IU PHYS-P 301. Spring. A survey of basic concepts and phenomena in atomic, nuclear, and solid state physics.

• PHYS 35300 Advanced Physics Laboratory I: Modern Physics and Electronics (2 cr.) P: PHYS 25100. Spring. Experiments associated with advances in the early part of the 20th century to accompany PHYS 34200 and an introduction to electronic circuits and test equipment for scientists.

• PHYS 40000 Physical Optics (3 cr.) P: PHYS 33000. Fall. Electromagnetic waves; wave theory of reflection, refraction, diffraction, and interference. Spatial and temporal coherence. Fourier optics, coherent imaging, and holography. Polarization phenomena; Jones vectors and matrices.

• PHYS 40100 Physical Optics Laboratory (2 cr.) P: PHYS 33000. C: PYHS 40000 (majors). Experiments to accompany PHYS 40000 in reflection, refraction, and interference using lasers. Interferometry. Diffraction patterns with emphasis on Fourier analysis and Fourier transformations. Polarization, Brewster's angle. Coherence length of lasers.

• PHYS 41800 Thermal and Statistical Physics (3 cr.) P:  PHYS 34200, and PHYS 31000 or PHYS 33000. Replaces PHYS 41600. Spring. Temperature, equations of state, first and second laws of thermodynamics, entropy and applications, kinetic theory, transport processes, statistical mechanics.

• PHYS 44200 Quantum Mechanics (3 cr.) P: PHYS 34200, and PHYS 31000 or PHYS 33000. Fall. Inadequacies of classical physics; wave packets and Schrodinger equation, one-dimensional problems; operator formulation of quantum mechanics; linear harmonic oscillator; angular momentum; hydrogen atom; and Pauli principle and application to helium atom.

• PHYS 47000 Reading in Special Topics (1-3 cr.)

• PHYS 48000 Solar Energy Usage (3 cr.) P: MATH 16600 or equivalent, and two courses in general physics. Theoretical and practical aspects, including collector design, modeling of solar systems, economic evaluation of solar alternatives, and photovoltaics.

• PHYS 49000 Undergraduate Reading and Research (1-3 cr.) Independent study for undergraduates.

• PHYS-P 201 General Physics I (5 cr.) P: MATH 15900 or equivalent. Fall, day; Spring, night; Summer, day. Newtonian mechanics, wave motion, heat, and thermodynamics. Application of physical principles to related scientific disciplines, especially life sciences. Intended for students preparing for careers in the life sciences and the health professions. Three lectures, one discussion section, and one two-hour laboratory period each week.

• PHYS-P 202 General Physics II (5 cr.) P: PHYS-P 201. Fall, night; Spring, day; Summer, day. Electricity and magnetism; geometrical and physical optics; introduction to concepts of relativity, quantum theory, and atomic and nuclear physics. Three lectures, one discussion section, and one two-hour laboratory period each week.

Advanced Undergraduate and Graduate

• PHYS 50100 Physical Science (3 cr.) Fall, Spring. Survey of the physical sciences with emphasis on methods of presentation appropriate to the elementary school. Graduate credit is extended only for elementary school teacher programs.

• PHYS 51000 Physical Mechanics (3 cr.) P: PHYS 31000 or equivalent, and courses in calculus and differential equations. Mechanics of particles, rigid bodies, and vibrating systems.

• PHYS 51000 Thermodynamics (3 cr.) P: PHYS 31000 and PHYS 33000 and a course in differential equations or advanced calculus. Equilibrium states, the concept of heat, and the laws of thermodynamics; the existence and properties of the entropy; different thermodynamic potentials and their uses; phase diagrams; introduction of statistical mechanics and its relation to thermodynamics; and treatment of ideal gases.

• PHYS 51700 Statistical Physics (3 cr.) P: PHYS 34200, PHYS 51000, and PHYS 51500 or equivalent. Laws of thermodynamics; Boltzmann and quantum statistical distributions, with applications to properties of gases, specific heats of solids, paramagnetism, black-body radiation, and Bose-Einstein condensation; Boltzmann transport equation and transport properties of gases; and Brownian motion and fluctuation phenomena.

• PHYS 52000 Mathematical Physics (3 cr.) P: PHYS 31000, PHYS 32200, PHYS 33000, or consent of instructor. Vectors and vector operators, tensors, infinite series, analytic functions and the calculus of residues, partial differential equations, and special functions of mathematical physics. When interests and preparation of students permit, calculus of variations and/or group theory are covered.

• PHYS 52200 Coherent Optics and Quantum Electronics (3 cr.) P: PHYS 33000, PHYS 44200, and PHYS 55000, or ME 58700. Recent experimental and theoretical developments in optics, emphasizing concepts of coherence. Fourier optics and the quantum theory of radiation. Applications to lasers and masers, nonlinear optics, holography, and quantum electronics.

• PHYS 53000 Electricity and Magnetism (3 cr.) P: PHYS 33000 or equivalent. Electrostatic problems; theory of dielectrics; theory of electric conduction; electromagnetic effects due to steady and changing currents; magnetic properties of matter; Maxwell's equations; and electromagnetic radiation.

• PHYS 53300 Principles of Magnetic Resonance (3 cr.) P: PHYS 55000 or equivalent. Magnetic resonance in bulk matter; classical and quantum descriptions, relaxation, CW and pulse experiments, interactions and Hamiltonians. Magnetic interactions between electrons and nuclei; nuclear quadrupole interaction, crystal field interactions, and effect of molecular motion. High-resolution NMR spectra; EPR of free-radical solutions; and powder patterns.

• PHYS 54500 Solid-State Physics (3 cr.) P: An undergraduate course in modern physics. Crystal structure; lattice vibrations; free electron theory of solids; band theory of solids; semiconductors; superconductivity; magnetism; and magnetic resonance.

• PHYS 55000 Introduction to Quantum Mechanics (3 cr.) P: PHYS 34200 and at least one other junior-level course in each of mathematics and physics or equivalent. Brief historical survey; waves in classical physics; wavepackets; uncertainty principle; operators and wave functions; Schrodinger equation and application to one-dimensional problems; the hydrogen atom; electron spin; multielectron atoms; periodic table; molecules; periodic potentials; and Bloch wave functions.

• PHYS 55600 Introductory Nuclear Physics (3 cr.) P: PHYS 55000 or equivalent. Theory of relativity; brief survey of systematics of nuclei and elementary particles; structure of stable nuclei; radioactivity; interaction of nuclear radiation with matter; nuclear reactions; particle accelerators; nuclear instruments; fission; and nuclear reactors.

• PHYS 57000 Selected Topics in Physics (3 cr.) Specialized topics in physics selected from time to time.

• PHYS 59000 Reading and Research (1-3 cr.)

• PHYS 59300 Advanced Physics Laboratory (3 cr.)

Graduate

• PHYS 58500 Introduction to Molecular Biophysics (3 cr.) Application concepts and methods from physics to the understanding of biological systems with a focus on proteins, lipids and nucleic acids. Introduction of experimental and theoretical techniques, including X-ray crystallography, nuclear magnetic resonance and molecular dynamics simulations in the investigation of structures, forces, dynamics and energetics of these biological molecules.

• PHYS 60000 Methods of Theoretical Physics (3 cr.) P: Graduate standing in physics or consent of instructor. 600 is designed to provide first-year physics graduate students with the mathematical background for subsequent studies of advanced mechanics, electrodynamics, and quantum theory. Topics include functions of a complex variable, ordinary and partial differential equations, eigenvalue problems, and orthogonal functions. Green's functions, matrix theory, and tensor analysis in three and four dimensions.

• PHYS 60100 Methods of Theoretical Physics II (3 cr.) P: PHYS 60000 or equivalent. A continuation of PHYS 60000.

• PHYS 61000 Advanced Theoretical Mechanics (3 cr.) P: PHYS 51000 or equivalent. Lagrangian and Hamiltonian mechanics; variational principles; canonical transformations; Hamilton-Jacobi theory; theory of small oscillations; and Lagrangian formulation for continuous systems and field.

• PHYS 61700 Statistical Mechanics (3 cr.) P: PHYS 66000 or equivalent. Classical and quantum statistical mechanics.

• PHYS 63000 Advanced Theory of Electricity and Magnetism (3 cr.) P: PHYS 53000 and PHYS 60000, or equivalent. The experimental origins of Maxwell's equations. Electrostatics and magnetostatics; solution of boundary value problems. Quasistatic currents. Electromagnetic energy and momentum and the Maxwell stress tensor. Foundations of optics. Radiation from antennae, multipole expansion; waveguides.

• PHYS 63100 Advanced Theory of Electricity and Magnetism (3 cr.) P: PHYS 63000 or equivalent. Covariant formulation of electrodynamics; Lienard-Wiechert potentials; radiation from accelerated particles; Cerenkov radiation; dynamics of relativistic particles; radiation damping; and introduction to magnetohydrodynamics.

• PHYS 63300 Advanced Topics in Magnetic Resonance (3 cr.) P: PHYS 53300 or consent of instructor. Rotation operators, coupling of angular momenta, Wigner-Eckhart theorem, and density matrix; theory of magnetic resonance, relaxation in liquids, chemical exchange, double resonance, cross-polarization, and magic angle spinning; two-dimensional NMR, correlation spectroscopy, and exchange and NOE spectroscopies; application to biological macromolecules; time domain EPR; and lineshape under slow motion.

• PHYS 66000 Quantum Mechanics I (3 cr.) P: PHYS 53000, PHYS 55000, PHYS 60000, and PHYS 61000, or equivalent. Origins of the quantum theory, the uncertainty and complementarity principles. The Schrodinger equation and its solutions for simple physical systems. Mathematical formulation of the quantum theory. Applications: simple harmonic oscillator, theory of angular momentum, and hydrogen atom. Time-independent and time-dependent perturbation theory. The Pauli exclusion principle. Spin of the electron. Elementary theory of scattering.

• PHYS 66100 Quantum Mechanics II (3 cr.) P: PHYS 60100, PHYS 63000, and PHYS 66000, or equivalent. Symmetry and conservation laws. The Klein-Gordon and Dirac equations. Interaction of radiation with matter. Applications of quantum mechanics to atomic structure. Scattering theory.

• PHYS 67000 Selected Topics in Physics (1-3 cr.) P: Consent of instructor. Specialized topics in physics, varied from time to time.

• PHYS 68500 Physics Seminar (0-1 cr.) Offered on Pass/Fail basis only. Weekly physics seminar presented by faculty and invited speakers from outside the department. May be repeated for credit.

• PHYS 69800 Research M.S. Thesis (Arr. cr.) Research M.S. Thesis.

• PHYS 69900 Research (Arr. cr.) Ph.D. thesis.

• PHYS-G 901 Advanced Research (6 cr.)

Science - General

• SCI-I 590 Topics in Science (1-3 cr.) P: Consent of instructor. Directed study for students who wish to undertake individual reading and study on approved topics.

• SCI-I 120 Windows on Science (1 cr.) Fall, spring. Designed for new and prospective science majors, the course covers an integrative overview of science, examining science and society, the scientific method and community of scientists, undergraduate research, professional ethics, an exploration of science-based careers, and strategies for success as a science major.

• SCI-I 190 Topics in Science (1-3 cr.) P: Prerequisites and course material vary with the topic. Fall, Spring, Summer. Topics in science and interdisciplinary fields.

• SCI-I 197 Exploring Health Professions (1 cr.) Fall, Spring.  Exploring Health Professions is designed to help students gain a wider and deeper understanding of the variety of health professions and how to most effectively prepare for entry into the professions.  Guest speakers, readings, and class discussions provide opportunities for students to explore a variety of health fields, network with current health professionals, reflect on their interests and values, and learn ways to stand out in a competitive field.

• SCI-I 200 Tutorial in Interdisciplinary Studies (1 cr.) Fall, Spring. Tutorial under the supervision of a faculty mentor to develop a proposal to pursue a plan of study focused on a science-based, interdisciplinary area. The proposal is to be submitted to the review committee for approval. Each student will maintain a journal on the progress on the plan of study.

• SCI-I 220 Introduction to Research Methods (1 cr.) This course is an introduction to research. Topics include learning the language of scholarly research; research ethics; laboratory safety; and research approval processes. Students will learn how to design, write, and present research for a variety of audiences and disciplines.

• SCI-I 225 Mentor-Based Research Experience (0-3 cr.) This course is designed to introduce a student to fundamental research. It will link to a program through which the student is participating, e.g. Diversity Research Scholars Program (DSRP) or Multidisciplinary Undergraduate Research Institute (MURI). May be eligible for other programs.

• SCI-I 290 Intermediate Topics in Science (1-3 cr.) P: Prerequisites and course material vary with the topic. Fall, Spring, Summer. Intermediate topics in science and interdisciplinary fields.

• SCI-I 294 Beginning Science-Based Internship (0-3 cr.) P: Sophomore or junior standing and program advisor approval. Fall, Spring, Summer. A semester of full- or part-time beginning internship experience in an industrial, government, or business setting matching the student's academic and career objectives. A comprehensive written report on the experience is required. Yes.

• SCI-I 296 Career Planning & Success Strategies (1 cr.) This course is designed to provide tools for the student who is interested in seeking an internship or career employment after college graduation. This course will explore personal values and strategies for finding the ideal career paths based on abilities, skills, and interests. Students will explore the value of internships, and tactics for identifying and securing internship opportunities. Practical strategies for approaching the art of networking and its impact on the success of career planning and securing opportunities will be examined.

• SCI-I 297 Health Professions Shadowing (1 cr.) Fall, Spring, Summer. The Health Professions Shadowing course exposes students to the healthcare field through shadowing and being mentored by a healthcare professional.  Students gain hands on experience, basic healthcare knowledge and insights into the careers of medical professionals.

• SCI-I 390 Advanced Topics in Science (0-3 cr.) P: Prerequisites and course material vary with the topic. Fall, Spring, Summer. Advanced topics in science and interdisciplinary fields. Prerequisites and course material vary with the topic. Yes.

• SCI-I 395 Science and Health Professions Study Abroad (0-3 cr.) Fall, Spring, Summer, as needed to be scheduled with a study abroad trip. This course will provide students with a culturally rich experience. There will be two components to this class: 1. Learning about the cultural, political, historical, and science or health-related aspects of the host community through pre-trip, on-site, and post-trip mandatory classes. 2. Engaging with professionals, translators, fellow participants, and local residents/patients on the service trip to the host community focusing on science or health issues. Yes.

• SCI-I 397 Pre-Professional Planning Seminar (1 cr.) Fall, Spring. This course will help sophomores and juniors prepare to apply for professional school. Topics covered will include: school selection; application overview; personal statement development; requesting letters of recommendation; interviewing; financing professional school; professionalism; and parallel planning.

• SCI-I 398 Medical School Preparation (1 cr.) Spring. The course will prepare students for the medical school application process, including the MCAT and the application process.  The application portion of the course will cover the AMCAS/AACOMAS application overview, developing and editing a personal statement, identifying and soliciting letters of recommendation, constructing experience descriptions, and interviewing.  The MCAT preparation portion will focus on the four main areas of the MCAT, which include: Critical Analysis and Reasoning, Chemistry and Physics, Biology and Biochemistry, and Psychology and Sociology.

• SCI-I 494 Internship in Science-Based Fields (0-6 cr.) P: Junior or senior standing and program advisor approval. Fall, Spring, Summer. A semester of full-time or part-time internship experience in an industrial, government, or business setting matching the student's academic or career objective. A comprehensive written report on the experience is required. Yes.

• SCI-I 495 Readings and Research in Science (1-3 cr.) P: Junior or senior standing, consent of instructor(s), and approval of review committee. Every semester, time arranged. Independent, interdisciplinary study and research in science and science-related fields. A major paper must be submitted. May be repeated for a maximum of 6 credit hours.

Candidate

• CAND 99100 Candidate (0 cr.) If you are an undergraduate, you will be given permission to register for CAND 99100 within one week of applying for graduation. Graduate students do not require course permission to register.