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School of Informatics Graduate 2004-2005 Online Bulletin Table of Contents

 

 

School of Informatics
Graduate 2004-2005
Academic Bulletin

IU Informatics Program
School of Informatics   
Indiana University    
901 E. 10th St.   
Bloomington, IN 47408-3912 
Local (812) 856-5754 
Fax (812) 856-4764 
Contact Informatics Office

IU Informatics Program
Informatics and Communications Complex (IT)
535 W. Michigan Street
Indianapolis, IN 46202
317) 278-7673
Contact Informatics Office
 

Graduate Programs

The Master of Science Degrees

Given the rapid and apparently unlimited growth of this new field at all levels of competence, each of the master's degree programs serves students who need education in the use of information technologies to enhance their job performance or employment prospects.

The School of Informatics offers five master's degrees:

Master of Science in Bioinformatics
Master of Science in Chemical Informatics (including Laboratory Informatics)
Master of Science in Health Informatics
Master of Science in Human-Computer Interaction
Master of Science in Media Arts and Science

Bioinformatics, chemical informatics, health informatics, and human-computer interaction require 36 credits including the completion of two common graduate core courses. Media arts and science requires 30 credits, including the completion of 18 credit hours of core courses.

Master of Science in Bioinformatics, IUB/IUPUI (36 cr.)

Master of Science in Bioinformatics
General Requirements for the M.S. in Bioinformatics
Prerequisites
Core Courses, IUB, IUPUI
Electives, IUB
Electives, IUPUI
Project/Thesis, IUB/IUPUI

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Master of Science in Bioinformatics, IUB/IUPUI (36 cr.)

Bioinformatics is an applied science dealing with the collection, management, analysis, and dissemination of biological data and knowledge, especially with respect to genetics and molecular biology. The end of the twentieth century saw an explosion of data associated with living organisms, especially the data emanating from the Human Genome Project and other genomics efforts. Through the application of computer technology, bioinformatics deals effectively with this flood of data, organizing it into comprehensible information and turning it into useful knowledge.

Information from the Human Genome Project promises to revolutionize medical practice and biological research and to enable an understanding of most inherited diseases. This has led to new insights into the role of the genome in regulating molecular products in cells and in controlling the overall development and function of living organisms. Bioinformatics plays a critical role in discoveries that will lead to new treatments for many diseases and to an understanding and modulation of health problems associated with aging. Genomic information is quickly becoming the basis for designing new drugs, and is central to the improvement of economically important crops and animals through genetic modification.

The IUPUI and IUB campuses are well suited for offering graduate education in bioinformatics. At IUPUI, the School of Informatics collaborates with the Department of Computer and Information Science and the Department of Biology in the School of Science and with the Department of Biochemistry and Molecular Biology and other departments in the School of Medicine. The Center for Computational Biology and Bioinformatics in the School of Medicine has strong ties to the School of Informatics. The School of Library and Information Science also offers courses on the IUPUI campus.

IUB is home to significant efforts in the life sciences. Informatics faculty actively collaborate with the Center for Genomics and Bioinformatics, the Biocomplexity Institute, the Proteomics Research and Development Facility, and the Pervasive Technology Laboratories, as well as with faculty in the Departments of Biology, Chemistry, Mathematics, Physics, Computer Science, the School of Medicine, and the School of Library and Information Science. The Department of Biology at IUB has a highly repected faculty and is the site of internationally recognized bioinformatics projects, including the IUBio-Archive of biology software and data and the CGB's BioWeb project. The department is home to the FlyBase Drosophila Genome project, which is recognized as one of the most technologically advanced bioinformatics databases. New bioinformatics initiatives at IUB include areas of phylogenetics, genomics, and microarray data processing.

New research directions following the unraveling of the genomic code have led to a much greater information flow and a concomitant increase in the need to apply computing methods to the biosciences. Experienced bioinformaticians are limited in number, while the need for them in industry, academe, and government has grown rapidly. The fullest benefit of the new bioinformatics techniques will result from intelligent, creative, and experienced scientists with a firm understanding of both computation and biology. A Master of Science in Bioinformatics from Indiana University addresses the need for education in the rapidly growing field of bioinformatics.

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General Requirements for the M.S. in Bioinformatics
This curriculum includes a set of core and elective courses covering concepts and training in bioinformatics, biosciences and informatics, and computer sciences. The integration of knowledge from biology, computing, mathematics, and related areas will be stressed, but the primary emphasis is on providing a strong foundation in the areas of computation and informatics.

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Prerequisites
Prospective students for graduate study in bioinformatics will be expected to have training in both informatics or computer science and biology. If sufficient background in either area is lacking, additional coursework will be necessary to ensure reasonable progress through the program.

Students with a Bachelor's Degree in Computer Science, Informatics, or Other Information Fields

Students with an undergraduate degree in any information based field should have the biological knowledge covered in an undergraduate biology minor. A typical biology minor includes:

Evolution and diversity (one semester)
Biological mechanisms (one semester)
Biology laboratory (one semester)
Molecular biology (one semester), or genetics (one semester), or cell biology
This level of knowledge of biology is necessary for coursework in the curriculum for the M.S. in Bioinformatics. In addition, students must be sure that they have at least the computer science skills listed in the following section, especially programming, discrete structures, and data structures.

Students with a Bachelor's Degree in Biology

Students with an undergraduate degree in biology should have the computer science knowledge covered in an undergraduate computer science minor. A typical computer science minor includes:
  • Introduction to programming and algorithm design and analysis
  • Introduction to software systems (object-oriented programming language, operating system interface, building and maintaining large projects)
  • Discrete structure (including trees and lists, graph algorithms, the relational data model, propositional and predicate logic)
  • Computer structures (architecture and assembly level programming) or data structures (structure and use of storage media, methods of representing structured data, and techniques for operating on data structures).
This level of knowledge of computer science is necessary for coursework in the curriculum for the M.S. in Bioinformatics. Programming, discrete structures, and data structures are especially important.

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Core Courses, IUB, IUPUI (6 cr.)
INFO I501 Introduction to Informatics (3 cr.)
INFO I502 Information Management (3 cr.), P: INFO I501

Core Bioinformatics Courses, IUB (6 cr.)
BIOL L519 Bioinformatics: Theory and Application (3 cr.)
BIOL L529 Bioinformatics in Molecular Biology and Genetics: Practical Applications (4 cr.), P: BIOL L519

Core Bioinformatics Courses, IUPUI (3 cr.)
CSCI 548 Topics: Introduction to Bioinformatics (3 cr.)

Electives, IUB (21 cr.)
Electives are to be chosen, with prior approval of a graduate advisor. They will usually be selected from the list of representative courses below. Additional courses may be added to the student's program with advisor's consent. Note that elective courses may require prerequisite course work.

Biology
BIOL L505 Molecular Biology of Evolution (3 cr.)
BIOL L521 Problems in Genetics-Higher Organisms (3 cr.)
BIOL L585 Molecular Genetics (3 cr.)
BIOL L586 Cell Biology (3 cr.)
BIOL L587 Developmental Biology (4.5 cr.)
BIOL M511 Molecular Biology of Prokaryotes (3 cr.)
BIOL Z540 Genetics of Populations (3 cr.)
BIOL Z620 Introduction to Genomics (3 cr.).
Required for students who lack sufficient knowledge in biology.

Biochemistry
BIOC B501 Integrated Biochemistry (4.5 cr.)
BIOC B502 Analysis of Biochemical Literature (1.5 cr.)
BIOC B503 Macromolecular Structure and Interaction (3 cr.)
BIOC B604 Structural Methods (1.5 cr.)
BIOC B801 Molecular and Cellular Biochemistry (3 cr.)

Chemistry
CHEM C318 Spectrochemistry and Separations (2 cr.)
CHEM C360 Introductory Physical Chemistry (3 cr.)
CHEM C483 Biological Chemistry (3 cr.)
CHEM C571 Chemical Information Technology (3 cr.)
CHEM C572 Computational Chemistry and Molecular Modeling (3 cr.)
CHEM C581 Function and Structure of Macromolecules (3 cr.)
CHEM C585 Structure and Function of Biological Membranes (3 cr.)
CHEM C615 Bioanalytical Chemistry (1.5-3 cr.)
CHEM C632 Structure, Function, and Spectroscopy of Metal Ions in Biological Systems (3 cr.)

Computer Science
CSCI A504 Introductory C++ Programming (2 cr.)
CSCI A506 Object-Oriented Programming in C++ (3 cr.)
CSCI A538 Network Technologies and Administration (3 cr.)
CSCI A546 User-Interface Programming (2 cr.)
CSCI A548 Mastering the World Wide Web (3 cr.)
CSCI A591 Introduction to Computer Science (3 cr.)
CSCI A592 Introduction to Software Systems (3 cr.)
CSCI A593 Computer Structures (3 cr.)
CSCI A594 Data Structures (3 cr.)
CSCI A596 Programming Languages (3 cr.)
CSCI A597 Introduction to Programming I (3 cr.)
CSCI A598 Introduction to Programming II (3 cr.)
CSCI B501 Theory of Computing (3 cr.)
CSCI B502 Computational Complexity (3 cr.)
CSCI B503 Algorithms Design and Analysis (3 cr.)
CSCI B521 Programming Language Principles (3 cr.)
CSCI B538 Networks and Distributed Computing (3 cr.)
CSCI B551 Elements of Artificial Intelligence (3 cr.)
CSCI B561 Advanced Database Concepts (3 cr.)
CSCI B581 Advanced Computer Graphics (3 cr.)
CSCI B661 Database Theory and System Design (3 cr.)
CSCI B665 Software Engineering Management I (3 cr.)
CSCI P536 Advanced Operating Systems (3 cr.)
CSCI P565/P566 Software Engineering I-II (3/3 cr.)
CSCI P573 Scientific Computing (3 cr.)

Informatics
INFO I503 Social Impact of Information Technologies (3 cr.)
INFO I532 Seminar in Bioinformatics (1-3 cr.)
INFO I533 Seminar in Chemical Informatics (1-3 cr.)
INFO I552 Independent Study in Bioinformatics (1-3 cr.)
INFO I553 Independent Study in Chemical Informatics (1-3 cr.)
INFO I590 Human-Computer Interaction Design I (3 cr.)

Library and Information Science
SLIS L505 Organization and Representation of Knowledge and Information (3 cr.)
SLIS L544 Information Technology Standardization (3 cr.)
SLIS L548 Computer Programming for Information Management (3 cr.)
SLIS L561 The Information Industry (1-3 cr.)
SLIS L570 Online Information Retrieval (3 cr.)
SLIS L571 Information Networking (3 cr.)
SLIS L641 Information Storage and Retrieval Theory (3 cr.)

Statistics
MATH M566 Mathematical Statistics I (3 cr.)
MATH M567 Mathematical Statistics II (3 cr.)
PSY P536 Theory of Tests and Measurements (3 cr.)

Other Courses
COGS Q550 Models in Cognitive Science (3 cr.)

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Electives, IUPUI (21 cr.)
Electives are to be chosen, with prior approval of a graduate advisor, from a list of departments specific to each degree program. The following courses have been approved. Additional courses may be added to the student's program with advisor's consent. Note that elective courses may require prerequisites.

Biology
BIOL 507 Molecular Biology (3 cr.)
BIOL 540 Topics in Biotechnology (3 cr.)
BIOL 548 Techniques in Biotechnology (3 cr.)
BIOL 641 Microbial Genetics (2 cr.)

Computer Science
CSCI 503 Operating Systems (3 cr.)
CSCI 504 Concepts in Computer Organization (3 cr.)
CSCI 506 Management of the Software Development Process (3 cr.)
CSCI 507 Object-Oriented Design and Programming (3 cr.)
CSCI 520 Computational Methods in Analysis (3 cr.)
CSCI 536 Computer Networks (3 cr.)
CSCI 541 Database Systems (3 cr.)
CSCI 542 Distributed Database Systems (3 cr.)
CSCI 565 Programming Languages (3 cr.)
CSCI 580 Analysis of Algorithms (3 cr.)
CSCI 590 Data Mining (3 cr.)
CSCI 590 Intelligent Systems (3 cr.)
CSCI 698 Research M.S. Thesis (6-9 cr.)

Informatics
INFO I503 Social Impact of Information Technologies (3 cr.)
INFO I532 Seminar in Bioinformatics (1-3 cr.)
INFO I533 Seminar in Chemical Informatics (1-3 cr.)
INFO I552 Independent Study in Bioinformatics (1-3 cr.)
INFO I553 Independent Study in Chemical Informatics (1-3 cr.)

Statistics
STAT 511 Statistical Methods I (3 cr.)
STAT 514 Designs of Experiments (3 cr.)

Other Courses
GRAD G865 Fundamental Molecular Biology (2-5 cr.)
MGEN Q580 Basic Human Genetics (3 cr.)
MGEN Q630 Genetics of Populations (3 cr.)
MGEN Q730 Methods in Human Genetics (3 cr.)

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Project/Thesis, IUB/IUPUI (6 cr.)
As a capstone experience, students will complete 6 credit hours of research, a project, or an internship under the guidance of an informatics faculty member. Requirements may differ depending on the graduate program and the campus.
INFO I692 Thesis/Project in Bioinformatics (1-6 cr.)

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Master of Science in Chemical Informatics, IUB/IUPUI (36 cr.)

Master of Science in Chemical Informatics
Prerequisites
Students with a Bachelor's Degree in Computer Science, Informatics,
  or Other Information Fields

Students with a Bachelor's Degree in Chemistry (B.A. or B.S.)
Core Courses, IUB/IUPUI
Core Courses, IUB
Core Courses, IUPUI
Electives, IUB
Electives, IUPUI
Project/Thesis or Internship, IUB, IUPUI
Laboratory Informatics, IUPUI

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Master of Science in Chemical Informatics

Variously known as chemoinformatics, cheminformatics, or even chemiinformatics, chemical informatics is the application of computer technology to chemistry in all of its manifestations. Much of the current use of cheminformatics techniques is in the drug industry. Indeed, one definition of chemical informatics is "the mixing of information resources to transform data into information and information into knowledge, for the intended purpose of making decisions faster in the arena of drug lead identification and optimization." Now chemical informatics is being applied to problems across the full range of chemistry.

Chemical informaticians often work with massive amounts of data. They construct information systems that help chemists make sense of the data, attempting to accurately predict the properties of chemical substances from a sample of data. Thus, through the application of information technology, chemical informatics helps chemists organize and analyze known scientific data to assist in the development of novel compounds, materials, and processes. People who work in chemical informatics may concentrate on molecular modeling, chemical structure coding and searching, chemical data visualization, or a number of other areas of specialization. Indeed, the various computer graphics codes for chemical structures that let us both view and search chemical structures via computer were developed by chemical informaticians. Methods and tools used in cheminformatics include:

  • Structure/Activity or Structure/Property Relationships (QSAR, QSPR )
  • Genetic Algorithms
  • Statistical Tools (e.g., recursive pairing)
  • Data Analysis tools
  • Visualization Techniques
  • Chemically Aware Web Language (CML)

A sound knowledge of chemistry and excellent facility in computer science are required to be an effective practitioner in the cheminformatics field. Chemical and pharmaceutical companies are in great need of people with such skills. The curriculum for a Master of Science in Chemical Informatics in the School of Informatics, developed jointly by IUB and IUPUI, educates students in the following major aspects of chemical informatics:

  • Information Acquisition: Methods used for generating and collecting data empirically (experimentation) or from theory (molecular simulation)
  • Information Management: Storage and retrieval of information
  • Information Use: Data analysis, correlation, and application to problems in the chemical and biochemical sciences
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Prerequisites

Prospective students for graduate study in chemical informatics will be expected to have training in both informatics or computer science and chemistry. If sufficient background in either area is lacking, some additional course work may be necessary to ensure reasonable progress through the program.

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Students with a Bachelor's Degree in Computer Science, Informatics, or Other Information Fields

Students with an undergraduate degree in any information-based field should have the chemistry knowledge covered in an undergraduate minor in chemistry. A typical chemistry minor includes:

  • General Chemistry with laboratory (two semesters)
  • Organic Chemistry (two semesters)
  • Two courses from: Analytical Chemistry (one semester); Biological Chemistry or Biochemistry (one semester); or Physical Chemistry (one semester).
This level of chemistry knowledge is necessary for course work in the curriculum for the M.S. in Chemical Informatics. Organic chemistry is especially important. In addition, students must be sure that they have at least the computer science skills listed in the following section, especially programming, discrete structures, and data structures.

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Students with a Bachelor's Degree in Chemistry (B.A. or B.S.)

Students with undergraduate degrees in chemistry or biochemistry should have the knowledge covered in an undergraduate minor in computer science. A typical computer science minor includes:

  • Introduction to programming and algorithm design and analysis
  • Introduction to software systems (object-oriented programming language, operating system interface, building and maintaining large projects)
  • Discrete structures (including trees and lists, graph algorithms, the relational data model, propositional and predicate logic)
  • Computer structures (architecture and assembly level programming) or data structures (structure and use of storage media, methods of representing structured data, and techniques for operating on data structures)

This level of computer science knowledge is necessary for course work in the curriculum for the M.S. in Chemical Informatics. Programming, discrete structures, and data structures are especially important.

Return to Master of Science in Chemical Informatics

Core Courses, IUB/IUPUI (6 cr.)
INFO I501 Introduction to Informatics (3 cr.)
INFO I502 Information Management (3 cr.), P: INFO I501

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Core Courses, IUB (6 cr.)
CHEM C571 Chemical Information Technology (3 cr.)
CHEM C572 Computational Chemistry and Molecular Modeling (3 cr.)

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Core Courses, IUPUI (6 cr.)
CHEM 696 Special Topics in Chemistry (3 cr.) Course content changes each semester and covers the same material as CHEM C571 and CHEM C572 at IUB. Students register for 3 credit hours for two semesters.

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Electives, IUB (18 cr., at least 6 of which must be in chemistry or biochemistry)
Electives are to be chosen, with prior approval of a graduate advisor. Courses will usually be selected from the list of representative courses below. Additional courses may be added to the student's program with the advisor's consent. Some of the following courses may also be offered at IUPUI; check current course schedules. Note that some elective courses may require prerequisites.

Biology
BIOL L505 Molecular Biology of Evolution (3 cr.)
BIOL L519 Bioinformatics: Theory and Application (3 cr.)
BIOL L521 Problems in Genetics-Higher Organisms (3 cr.)
BIOL L529 Bioinformatics in Molecular Biology and Genetics: Practical Applications (4 cr.)
BIOL L585 Molecular Genetics (3 cr.)
BIOL L586 Cell Biology (3 cr.)
BIOL L587 Developmental Biology (4.5 cr.)
BIOL M511 Molecular Biology of Prokaryotes (3 cr.)
BIOL Z540 Genetics of Populations (3 cr.)
BIOL Z620 Introduction to Genomics (3 cr.).

Biochemistry
BIOC B501 Integrated Biochemistry (4.5 cr.)
BIOC B502 Analysis of Biochemical Literature (1.5 cr.)
BIOC B503 Macromolecular Structure and Interaction (3 cr.)
BIOC B604 Structural Methods (1.5 cr.)
BIOC B801 Molecular and Cellular Biochemistry (3 cr.)

Chemistry
CHEM C318 Spectrochemistry and Separations (2 cr.)
CHEM C360 Introductory Physical Chemistry (3 cr.)
CHEM C471 Chemical Information Sources and Services (1 cr.)
CHEM C472 Computer Sources for Chemical Information (1 cr.)
CHEM C483 Biological Chemistry (3 cr.)
CHEM C581 Function and Structure of Macromolecules (3 cr.)
CHEM C585 Structure and Function of Biological Membranes (3 cr.)
CHEM C615 Bioanalytical Chemistry (1.5-3 cr.)
CHEM C632 Structure, Function, and Spectroscopy of Metal Ions in Biological Systems (3 cr.)

Computer Science
CSCI A504 Introductory C++ Programming (2 cr.)
CSCI A506 Object-Oriented Programming in C++ (3 cr.)
CSCI A546 User-Interface Programming (2 cr.)
CSCI A547 Network Technologies and Administration (3 cr.)
CSCI A548 Mastering the World Wide Web (3 cr.)
CSCI A591 Introduction to Computer Science (3 cr.)
CSCI A592 Introduction to Software Systems (3 cr.)
CSCI A593 Computer Structures (3 cr.)
CSCI A594 Data Structures (3 cr.)
CSCI A596 Programming Languages (3 cr.)
CSCI A597 Introduction to Programming I (3 cr.)
CSCI A598 Introduction to Programming II (3 cr.)
CSCI B501 Theory of Computing (3 cr.)
CSCI B502 Computational Complexity (3 cr.)
CSCI B503 Algorithms Design and Analysis (3 cr.)
CSCI B521 Programming Language Principles (3 cr.)
CSCI B538 Networks and Distributed Computing (3 cr.)
CSCI B551 Elements of Artificial Intelligence (3 cr.)
CSCI B561 Advanced Database Concepts (3 cr.)
CSCI B581 Advanced Computer Graphics (3 cr.)
CSCI B661 Database Theory and System Design (3 cr.)
CSCI B665 Software Engineering Management I (3 cr.)
CSCI P536 Advanced Operating Systems (3 cr.)
CSCI P565/P566 Software Engineering I-II (3/3 cr.)
CSCI P573 Scientific Computing (3 cr.)

Informatics
INFO I503 Social Impact of Information Technologies (3 cr.)
INFO I532 Seminar in Bioinformatics (1-3 cr.)
INFO I533 Seminar in Chemical Informatics (1-3 cr.)
INFO I552 Independent Study in Bioinformatics (1-3 cr.)
INFO I553 Independent Study in Chemical Informatics (1-3 cr.)
INFO I590 Human-Computer Interaction Design I (3 cr.)

Library and Information Science
SLIS L505 Organization and Representation of Knowledge and Information (3 cr.)
SLIS L544 Information Technology Standardization (3 cr.)
SLIS L548 Computer Programming for Information Management (3 cr.)
SLIS L561 The Information Industry (1-3 cr.)
SLIS L570 Online Information Retrieval (3 cr.)
SLIS L571 Information Networking (3 cr.)
SLIS L641 Information Storage and Retrieval Theory (3 cr.)

Statistics
MATH M566 Mathematical Statistics I (3 cr.)
MATH M567 Mathematical Statistics II (3 cr.)
PSY P536 Theory of Tests and Measurements (3 cr.)

Other Courses
COGS Q550 Models in Cognitive Science (3 cr.)

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Electives, IUPUI (21 cr., of which no more than 6 credit hours may be in biochemistry, or chemistry)
Electives are to be chosen, with prior approval of a graduate advisor, from a list of departments specific to each degree program. The following courses have been approved. Additional courses may be added to the student's program with advisor's consent. Note that elective courses may require prerequisites.

Biology
BIOL 507 Molecular Biology (3 cr.)

Biochemistry
BIOC B807 Enzyme Chemistry (3 cr.)
BIOC G865 Fundamentals of Molecular Biology (3 cr.)

Chemistry
CHEM 533 Introduction to Biochemistry (3 cr.)
CHEM 575 Intermediate Physical Chemistry (3 cr.)
CHEM 621 Advanced Analytical Chemistry (3 cr.)
CHEM 629 Chromatography (3 cr.)
CHEM 636 Biochemistry (3 cr.)
CHEM 651 Advanced Organic Chemistry (3 cr.)
CHEM 652 Synthetic Organic Chemistry (3 cr.)
CHEM 672 Quantum Chemistry (3 cr.)
CHEM 675 Chemical Kinetics (3 cr.)
CHEM 696 Chemometrics (3 cr.)
CHEM 696 Introduction to Computational Chemistry (3 cr.)

Computer Science
CSCI 548 Introduction to Bioinformatics (3 cr.)
CSCI 590 Data Mining (3 cr.)
CSCI 590 Distributed Database Systems (3 cr.)
CSCI 590 Intelligent Systems (3 cr.)

Informatics
INFO I503 Social Impact of Information Technologies (3 cr.)
INFO I532 Seminar in Bioinformatics (1-3 cr.)
INFO I533 Seminar in Chemical Informatics (1-3 cr.)
INFO I552 Independent Study in Bioinformatics (1-3 cr.)
INFO I553 Independent Study in Chemical Informatics (1-3 cr.)

New Media
NEWM N502 Digital Media Motion and Simulation Methods (3 cr.)
NEWM N504 Advanced Interactive Design Application (3 cr.)

Project/Thesis or Internship, IUB/IUPUI (6 cr.)
As a capstone experience, students will complete 6 credit hours of research, a project, or an internship under the guidance of an informatics faculty member. Requirements may vary depending on the graduate program and the campus.

INFO I693 Informatics Thesis/Project (1-6 cr.)

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Laboratory Informatics, IUPUI (36 cr.)

The Laboratory Informatics program is a specialization within the Master of Science in Chemical Informatics degree in the School of Informatics. Laboratory informatics is the specialized application of information technology to maximize laboratory operations. Laboratory informatics encompasses data acquisition, data processing, laboratory information management systems (LIMS), laboratory automation, scientific data management (including data analysis and long-term archiving), and electronic laboratory notebooks. Focus is on the application of this technology in analytical, production, and R&D laboratories. This specialization is embedded within the chemical informatics degree.

This professional, industry-oriented graduate program is designed for students with undergraduate degrees in the physical or life sciences who seek advanced training in laboratory informatics to pursue careers in the agricultural, biomedical, chemical, food, petroleum, and pharmaceutical industries. Graduates will work primarily in commercial and municipal laboratories as operations specialists, LIMS analysts, and lab managers. A significant job market also exists with laboratory software and instrumentation companies in sales, service, and training positions.

The curriculum leading to the M.S. in Chemical Informatics with a specialization in laboratory informatics includes a common informatics core, a specialized core for the major, electives from other schools to build on the core foundation, and internships in real-world settings. Classes and labs will be taught in a state-of-the-art research facility.

Prerequisites
Students must posses a bachelor's degree in an academic field that could be relevant to laboratories that utilize laboratory informatics. For example, a degree in plant biology could be relevant to a biotechnology laboratory; a degree in chemistry could be relevant to an analytical laboratory. Students must also have demonstrated competence in computing. This typically can be satisfied by 4 or more credits in computer science courses relevant to informatics.

Core Courses (6 cr.)
INFO I501 Introduction to Informatics (3 cr.)
INFO I502 Information Management (3 cr.)

Laboratory Informatics Specialization Courses (12 cr.)
INFO I510 Laboratory Instrumentation and Data Acquisition (3 cr.)
INFO I511 Laboratory Information Management Systems (LIMS) (3 cr.)
INFO I512 Scientific Data Management and Analysis (3 cr.)
CHEM C571 Chemical Information Technology (3 cr.)

Electives (12 cr.) Electives are to be chosen, with prior approval of a graduate advisor, from a list of departments specific to each degree program. The following courses are typical examples:
INFO I533 Seminar in Chemical Informatics (3 cr.)
INFO I590 Topics: Scientific Computing for Informatics (3 cr.)
INFO I590 Topics: Informatics Project Management (3 cr.)
STAT 511 Statistical Methods I (3 cr.)

Thesis/Project (6 cr.)
As a capstone experience, students will complete 6 credits of research, a project, or an internship under the guidance of an informatics faculty member. Requirements may vary depending on the graduate program and the campus.
INFO I693 Thesis/Project in Chemical Informatics (6 cr.)

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The Master of Science in Health Informatics, IUPUI (36 cr.)

Master of Science in Health Informatics
General Requirements for the M.S. in Health Informatics
Prerequisites
Core Courses
Electives
Project/Thesis, IUPUI

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Master of Science in Health Informatics

The School of Informatics offers a Master of Science in Health Informatics at IUPUI to address needs emanating from the rapidly changing health care environment. Research and educational programs in medical, nursing, and health informatics are growing at a rapid rate nationally. This can be attributed in large part to the increasing complexity and importance of health care reimbursement, which has created a need for improved classification, storage, and analysis of medical information to establish best clinical practice and cost efficiency. Users of health informatics include clinicians, researchers, health care educators, health organization administrators, health policy analysts, health information administrators, quality improvement directors, and chief information officers. Those who are professionally involved in health informatics work in a variety of settings, including acute care hospitals, managed care organizations, consulting firms, claims and reimbursement organizations, accounting firms, home health care agencies, long-term care facilities, corrections facilities, pharmaceutical companies, behavioral health organizations, insurance companies, state and federal health care agencies, and health computing industries.

The IUPUI campus is uniquely suited to conduct graduate education in health informatics through its health schools, research centers, and affiliated academic units. The School of Medicine has a long history of fellowship training and research in medical informatics. The School of Informatics offers an undergraduate degree in health information administration. This baccalaureate program prepares professionals to plan and manage health information systems. The curriculum is grounded in computer systems, health law, medical documentation, and organizational management. The School of Nursing, which is the largest in the country, is in the forefront in the development of nursing informatics, with a particular emphasis on consumer health informatics. The School of Library and Information Science offers master's and doctoral degrees in information science, which are distinguished by their sociotechnical orientation. The school also has a broad research thrust exploring the interconnection of social, behavioral, and technological issues associated with the use of information and communication technologies. The Department of Computer and Information Science offers a master's degree in computer science with a specialization in databases and data mining. The department supports the computer science requirements of the M.S. in Health Informatics. Faculty in the department are externally funded to conduct research in medical informatics and bioinformatics. Other academic programs at Indianapolis and Bloomington in public health, applied health sciences, and hospital administration offer important supporting course work.

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General Requirements for the M.S. in Health Informatics
To receive the Master of Science in Health Informatics, students must complete 36 credit hours of prescribed courses. In addition to core courses, students choose, in consultation with advisors, a set of concentration electives. Examples of concentration areas include:
1) knowledge-based health care information,
2) health services informatics, and 3) clinical databases.

Knowledge-based health care information focuses on the storage, organization, evaluation, and dissemination of health and medical knowledge (e.g., textbooks, journals, other media, and information) to support evidence-based practice and patient education. End-users of knowledge-based health care information include clinicians, patients, health educators, and health planners.

Health services informatics focuses on information management in health care systems and addresses such diverse needs as patient flow, resource allocation, billing, and compiling and reporting of data. This involves developing information systems for processing and storing clinical data, complying with medical documentation requirements of accrediting and governmental agencies, and setting health information policies.

Clinical databases focuses on the storage of medical data and linkage of electronic systems. Study in this concentration is based on an electronic medical record system that includes existing standards and coding, links between health-related databases, and data extraction for clinical care and management. Research is oriented to using such databases to learn more about disease and health maintenance (e.g., clinical epidemiology, pharmacoepidemiology, public health informatics, and nursing informatics).

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Prerequisites (12 cr.)
All students applying for the M.S. in Health Informatics should have prerequisite courses or equivalencies in the following areas:

Anatomy, biology, or physiology
  (200-level or higher)
3 cr.
Computer Science CSCI N301 3 cr.
Medical Terminology 3 cr.
Statistics 3 cr.

To receive a master's degree, the applicant must be admitted as a graduate student and complete 36 credits in health informatics-related courses numbered 500 or above as listed below. The following courses are offered at IUPUI; courses may also be taken at IUB with approval of the advisor.

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Core Courses (15 cr.)
All of the following are required:
INFO I501 Introduction to Informatics (3 cr.)
INFO I502 Information Management (3 cr.), P: INFO I501
INFO I503 Social Impact of Information Technologies (3 cr.)
INFO I530 Seminar in Health Informatics Applications (3 cr.)

Choose one of the following:
NURS R505 Measurement and Data Analysis (3 cr.)
PBHL G651 Biostatistics for Public Health (3 cr.)
SPEA H518 Public Health Statistics (3 cr.)

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Electives (15 cr.)
Electives may be selected from existing graduate courses in numerous schools and other academic units, depending on student need. Of these 15 credit hours, 9 credit hours must be selected from the list of informatics and computer science courses. (This list is neither exhaustive nor exclusive.) In consultation with their advisors, students will have wide latitude in choosing appropriate courses.

Informatics and Computer Science
CSCI 503 Operating Systems (3 cr.)
CSCI 504 Concepts in Computer Organization (3 cr.)
CSCI 536 Computer Networks (3 cr.)
CSCI 541 Database Systems (3 cr.)
CSCI 542 Distributed Database Systems (3 cr.)
CSCI 565 Programming Languages (3 cr.)
CSCI 590 Topics: Artificial Intelligence (3 cr.)
INFO I531 Seminar in Health Informatics (1-3 cr.)
INFO I551 Independent Study in Health Informatics (1-3 cr.)
SLIS L542 Introduction to Human-Computer Interaction (3 cr.)
SLIS L570 Online Information Retrieval (3 cr.)
SLIS L571 Information Networking (3 cr.)
SLIS L574 Communication in Electronic Environments (3 cr.)
SPEA H628 Healthcare Information Systems (3 cr.)
SPEA V516 Public Management Information Systems (3 cr.)
SPEA V519 Database Management Systems (3 cr.)
SPEA V611 Design of Information Systems (3 cr.)
SPEA V613 Implementation of Information Systems (3 cr.)

Design, Measurement, and Evaluation
ECON E528 Economic Analysis of Health Care (3 cr.)
NURS L650 Data Analysis for Clinical and Administrative Decision Making (3 cr.)
NURS R720 Metanalysis of Health/Illness or Disease/Illness (3 cr.)
PBHL G652 Biostatistics II (3 cr.)
SPEA H517 Managerial Epidemiology (3 cr.)
SPEA H521 Management Sciences for Health Services Administration (3 cr.)
SPEA H615 Strategic Management, Decision Making, and Evaluation II (3 cr.)
SPEA V541 Benefit-Cost Analysis of Public and Environmental Policies (3 cr.)

Health Sciences
HPER C501 Program Planning in Public Health Education (3 cr.)
HPER C515 Health Education in Clinical Settings (3 cr.)
NURS M560 Teaching Strategies to Promote Client Functioning (3 cr.)
PBHL P503 Public Health Community Project (3 cr.)
SOC R515 Sociology of Health and Illness (3 cr.)
SPEA H501 Introduction to Health and Medical Care Organization (3 cr.)
SPEA H503 Health Systems Organization and Management (3 cr.)

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Project/Thesis, IUPUI (6 cr.)
As a capstone experience, students will complete either a project, planned in conjunction with their advisor, or a researched-based thesis, supervised by a research advisor and a thesis committee. Core and support faculty from the participating schools will have a wide range of research interests that will provide graduate students with choices relevant to their concentration areas.

INFO I691 Thesis/Project in Health Informatics (1-6 cr.)

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Master of Science in Human-Computer Interaction, IUB (36 cr.)

Master of Science in Human-Computer Interaction
Prerequisites
General Requirements for the M.S. in Human-Computer Interaction (HCI)
Core Courses
Electives
Project/Thesis, IUB/IUPUI
Music Informatics

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Master of Science in Human-Computer Interaction

Human-Computer Interaction (HCI) is the branch of informatics that studies and supports the design, development, and implementation of humanly usable and socially acceptable information technologies. The goal of the field is to shape new media and tools that will support human use, augment human learning, enhance communication, and lead to more acceptable technological developments at individual and social levels.

Research into HCI draws extensively on mainstream informatics concerns with cognition, communication, representation, and computation. HCI professionals seek to identify the nature and parameters of human information processing at the interface, to design forms of representation that support human interpretation and use of information, to reliably and validly test new technologies for usability and acceptability, and to determine how information technologies change working practices and social activities.

Regular job postings for HCI personnel express a desire for professionals with suitable scientific training in design and evaluation, and increasingly, applied social scientists with technological skills are finding employment in the software industry as HCI professionals. The HCI program includes core faculty and faculty from across campus to provide the appropriate blend of multidisciplinary expertise required to study this new discipline.

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Prerequisites
Students may be asked to complete prerequisite course work by a graduate advisor to ensure progress through the program.

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General Requirements for the M.S. in Human-Computer Interaction (HCI)
To receive the master of science degree, the applicant must be admitted as a graduate student and complete 36 credits of graduate study in HCI according to the following schedule:

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Core Courses, IUB (12 cr.)
INFO I501 Introduction to Informatics (3 cr.)
INFO I502 Information Management (3 cr.), P: INFO I501
INFO I590 Human-Computer Interaction Design I (3 cr.)
INFO I590 Human-Computer Interaction Design II (3 cr.)

Core Courses, IUPUI (15 cr.)
INFO I501 Introduction to Informatics (3 cr.)
INFO I502 Information Management (3 cr.), P: INFO I501
INFO I590 Human-Computer Interaction Design I (3 cr.)
INFO I590 Human-Computer Interaction Design II (3 cr.) 3 credit hours of Intermediate Statistics

Flexible Core Courses, IUPUI (12 cr.)
INFO I552 Independent Study in HCI (3 cr.)
INFO I590 Psychology of HCI (3 cr.)
INFO I590 Topics in Informatics (3 cr.)
NEWM N450 Usability Principles for New Media Interfaces (3 cr.)
SLIS L505 Organization and Representation of Knowledge and Information (3 cr.)
SLIS L509 Introduction to Research and Statistics (3 cr.)
SLIS L545 Systems Analysis and Design (3 cr.)
SLIS L546 User-Centered Database Design (3 cr.)
SLIS L571 Information Architecture for the Web (3 cr.)
SLIS L625 Information in the Social Sciences (3 cr.)
SOC S551 Sociological Research Methods (3 cr.)
PSY I643 Field Methods and Experiments (3 cr.)

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Electives, IUB (18 cr.)
Business
BUS S501 IT Project Management (3 cr.)B BUS S510 E-Business Strategy (3 cr.)
BUS S517 Wireless systems (3 cr.)
BUS S544 Executive Leadership of IT Strategy (3 cr.)

Cognitive Science
COGS Q520 Math and Logic for Cognitive Science (3 cr.)
COGS Q700 Seminar in Cognitive Science (3 cr.)

Computer Science CSCI A504 Introductory C++ Programming (2 cr.)
CSCI A506 Object-Oriented Programming in C++ (2 cr.)
CSCI A547 Network Technologies and Administration (3 cr.)
CSCI A548 Mastering the World Wide Web (3 cr.)
CSCI A591 Introduction to Computer Science (3 cr.)
CSCI A592 Introduction to Software Systems (3 cr.)
CSCI A593 Computer Structures (3 cr.)
CSCI A594 Data Structures (3 cr.)
CSCI A596 Programming Languages (3 cr.)
CSCI A597 Introduction to Programming I (3 cr.)
CSCI A598 Introduction to Programming II (3 cr.)
CSCI B521 Programming Language Principles (3 cr.)
CSCI B551 Elements of Artificial Intelligence (3 cr.)
CSCI B561 Advanced Database Concepts (3 cr.)
CSCI B581 Advanced Computer Graphics (3 cr.)
CSCI B649 Introduction to Computer Security (3 cr.)
CSCI B659 Web Mining (3 cr.)
CSCI B661 Database Theory and Systems (3 cr.)
CSCI B665 Software Engineering Management (3 cr.)
CSCI B679 Networked Sensors and Instrumentation (3 cr.)
CSCI B689 Topics in Graphics and Human-Computer Interaction (1-6 cr.)
CSCI P536 Advanced Operating Systems (3 cr.)
CSCI P565/P566 Software Engineering I-II (3/3 cr.)
CSCI P573 Scientific Computing (3 cr.)

Education EDUC F500 Impact of Games/Simulations Instruction (3 cr.)
EDUC P501 Statistical Methods Applied to Education (3 cr.)
EDUC P550 Cognition and Semiotics (3 cr.)
EDUC P600 Topical Seminar in Learning Cognition and Instruction (3 cr.)
EDUC R521 Instructional Design and Development (3 cr.)
EDUC R541 Instructional Development and Production I (3 cr.)
EDUC R542 Instructional Graphics Design (3 cr.)
EDUC R547 Computer-Mediated Learning (3 cr.)
EDUC R621 Needs Analysis and Assessment (3 cr.)
EDUC R641 Instructional Development and Production II (3 cr.)
EDUC R667 Educational Systems Design (3 cr.)
EDUC Y502 Intermediate Statistics Applied to Education (3 cr.)

Fine Arts
FINA U539 Computer Art: Advanced Seminar (3 cr.)

HPER
HPER K598 Ergonomics (3 cr.)

Informatics
INFO I500 Introduction to Information Technology (3 cr.)
INFO I503 Social Impact of Information Technologies (3 cr.)
INFO I590 Topics in Informatics (1-3 cr.)
INFO I534 Seminar in Human-Computer Interaction (1-3 cr.)
INFO I554 Independent Study in Human-Computer Interaction (1-3 cr.)

Journalism
JOUR J530 Issues in New Communication Technologies (3 cr.)
JOUR J563 Computerized Publication Design I (3 cr.)
JOUR J565 Computerized Publication Design II (3 cr.)
JOUR J560 Topics Course (3 cr.)
JOUR J660 Content and Behavior (3 cr.)

Mathematics
MATH M413 Introduction to Analysis I (3 cr.)
MATH M463 Introduction to Probability Theory I (3 cr.)
MATH M464 Introduction to Probability Theory II (3 cr.)
MATH M467 Advanced Statistical Techniques (3 cr.)
MATH M471 Numerical Analysis I (3 cr.)
MATH M566 Mathematical Statistics I (3 cr.)

Psychology
PSY P553 Advanced Statistics in Psychology (3 cr.)
PSY P554 Advanced Statistics in Psychology II (3 cr.)
PSY P565 Psychophysics of Vision (3 cr.)

Library and Information Science
SLIS L505 Organization and Representation of Knowledge and Information (3 cr.)
SLIS L509 Introduction to Research and Statistics (3 cr.)
SLIS L540 Foundations of Information Architecture (3 cr.)
SLIS L545 User-Centered Database Design (3 cr.)
SLIS L547 Organizational Informatics (3 cr.)
SLIS L548 Computer Program for Information Management (3 cr.)
SLIS L561 The Information Industry (3 cr.)
SLIS L565 Computer-Mediated Communication (3 cr.)
SLIS L571 Information Architecture for the Web (3 cr.)
SLIS L578 User Interface Design for Information Systems (3 cr.)
SLIS L579 Information Visualization (3 cr.)
SLIS L595 Workshops (1.5 cr.)
SLIS L597 Topics (3 cr.)
SLIS L608 Seminar in Intellectural Freedom (3 cr.)
SLIS L642 Information Usage and Cognitive Artifact (3 cr.)

Telecommunications
TEL T570 Art Entertainment and Information (3 cr.)
TEL T571 Applied Emotional and Cognitive Psychology Theory (3 cr.)
TEL T575 Directed GRP New Media Design Project (3 cr.)
TEL T576 New Media Production (1-2 cr.)
TEL T580 Interactive Storytelling/Computer Games (3 cr.)
TEL T585 Interactivity and New Media (3 cr.)

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Electives, IUPUI (6 cr.)
Electives are to be chosen, with prior approval of a graduate advisor, from a list of departments specific to each degree program. The following courses have been approved. Additional courses may be added to the student's program with advisor's consent.

Students must take courses from at least two departments. Note that some elective courses may require prerequisites.

Computer Science
CSCI 437 Introduction to Computer Graphics (3 cr.)
CSCI 450 Principles of Software Engineering (3 cr.)
CSCI 487 Artificial Intelligence (3 cr.)
CSCI 507 Object-Oriented Design and Programming (3 cr.)
CSCI 550 Computer Graphics (3 cr.)
CSCI 552 Advanced Graphics and Visualization (3 cr.)

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New Media
NEWM N501 Principles of Multimedia Technology (3 cr.)
NEWM N503 Digital Media Application Design Processes (3 cr.)
NEWM N510 Web Database Concepts (3 cr.)

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Project/Thesis, IUB/IUPUI (6 cr.)
As a capstone experience, students will complete 6 credit hours of research, a project, or an internship under the guidance of an informatics faculty member. Requirements may vary depending on the graduate program and the campus.
INFO I694 Thesis/Project in Human-Computer Interaction (1-6 cr.)

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Music Informatics, IUB (36 cr.)

The Music Informatics program is a specialization within the Master of Science in Human-Computer Interaction degree in the School of Informatics.

Music informatics involves the representation, manipulation, searching, storage, and retrieval of musical information in its various forms, including analog and digital audio, score images, symbolically encoded scores, musical performance data, as well as metadata of various kinds (stylistic, analytical, structural, bibliographic). It is concerned with how to represent and coordinate these different kinds of musical information; how to catalog and maintain collections of such information; how to search for and retrieve items from those collections; and how to visually represent and make productive use of musical information. It relies on principles from many disciplines, including musicology, music theory, music cognition, library and information science, human-computer interaction and design, audio engineering, computer science, cognitive science, and instructional systems technology.

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Prerequisites
A bachelor's degree in music or demonstrated equivalent. Strong, demonstrated competence in computing, with skills well beyond the application end-user level. The applicant should be familiar with several of the following types of software: word processing, spreadsheet, database, music notation, MIDI or music sequencing, and HTML. Competence in at least one programming or scripting language strongly recommended.

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Admissions
The applicant must submit at the time of application three letters of recommendation and a portfolio that represents work in at least three of the software categories listed above under "Prerequisites." A personal interview is required.

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Core Courses (18 cr.)
INFO I501 Introduction to Informatics (3 cr.)
INFO I502 Information Management (3 cr.)
INFO I590 Human-Computer Interaction Design I (3 cr.)
MUS N560 Introduction to Music Informatics (3 cr.)
MUS N564 Music Information Representation, Search, and Retrieval (3 cr.)
MUS N565 Music Information Processing (3 cr.)

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Elective Courses (12 cr.)
Students may choose from among the following and must take courses from at least two departments.

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Cognitive Science
COGS Q520 Mathematics and Logic of Cognitive Science (3 cr.)
COGS Q530 Programming Methods in Cognitive Science (3 cr.)
COGS Q550 Models in Cognitive Science (3 cr.)

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Computer Science
CSCI A504 Introductory Programming in C++ (2 cr.)
CSCI A506 Object-Oriented Programming in C++ (2 cr.)
CSCI A546 User-Interface Programming (2 cr.)
CSCI A547 Network Technologies and Administration (2 cr.)
CSCI A548 Mastering the World Wide Web (2 cr.)
CSCI A591 Introduction to Computer Science (3 cr.)
CSCI A592 Introduction to Software Systems (3 cr.)
CSCI A594 Data Structures (3 cr.)
CSCI A596 Programming Languages (3 cr.)
CSCI A597 Introduction to Programming I (3 cr.)
CSCI A598 Introduction to Programming II (3 cr.)
CSCI B503 Algorithms Design and Analysis (3 cr.)
CSCI B521 Programming Language Principles (3 cr.)
CSCI B538 Networks and Distributed Computing (3 cr.)
CSCI B551 Elements of Artificial Intelligence (3 cr.)
CSCI B561 Advanced Database Concepts (3 cr.)
CSCI B581 Advanced Computer Graphics (3 cr.)
CSCI P565/P566 Software Engineering I-II (3-3 cr.)
CSCI P573 Scientific Computing (3 cr.)

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Education
EDUC R521 Instructional Design and Development I (3 cr.)
EDUC R522 Instructional Design and Development II (3 cr.)
EDUC R547 Computer-Mediated Learning (3 cr.)

Informatics
INFO I503 Social Impact of Information Technologies (3 cr.)
INFO I590 Human-Computer Interaction Design II (3 cr.)

Library and Information Science
SLIS L571 Information Networking (3 cr.)

Music
MUS N561 MIDI and Computer Music (3 cr.)
MUS N562 Electronic Text Processing and Distribution (3 cr.)
MUS N563 Developing Computer-Based Music Instruction (3 cr.)
MUS N568 Topics in Music Information Technology (3 cr.)
MUS N569 Guided Research in Music Information Technology (3 cr.)

Speech and Hearing
SPHS S522 Digital Signal Processing (3 cr.)

Project/Thesis, IUB
As a capstone experience, students will complete 6 credit hours of research, a project, or an internship under the guidance of an informatics faculty member. Requirements may vary depending on the graduate program and the campus.

INFO I694 Thesis/Project in Human-Computer Interaction (1-6 cr.)

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Master of Science in Media Arts and Science

Master of Science in Media Arts and Science
Application Procedures
Admission Requirements
Graduate Portfolio Submission Guidelines
Degree Requirements

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Master of Science in Media Arts and Science

The Master of Science degree develops specialized skills and knowledge in new media with the purpose of preparing students to manage and conduct research on Internet and Web environments and multimedia production techniques. Like all new media programs, the master's degree is focused on applied research and application. The course of study is oriented toward professional practice and relies on a theory base drawn from fundamental disciplines that study communication as sight, sound, and motion.

Skills and knowledge embedded in this degree program include: Web page and multimedia research design, computer programming and database programming, multimedia authoring language skills and data collection, software, multimedia development of audio and video impact on users, digital graphics assessment techniques, and writing and editing of materials for multimedia evaluation and assessment.

The Master of Science in Media Arts and Science includes required courses in new media with specific emphasis on philosophy and principles of the field as well as techniques using technology in communication and cybernetic/human interaction theory. Graduates will be prepared to conduct research in the development and effects of using communication technology in academic, social, and vocational settings. Opportunity will exist within the field for students to conduct applied research in media-related disciplines.

Career options include 2-D/3-D artist, animator, creative technologist, multimedia producer, director of software development, electronic publisher, hypermedia specialist, Internet developer, interactive trainer, music producer, media developer, composer, techno-artist, video/audio editor, webmaster, and Web site designer.

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Application Procedures
See section on application procedures for informatics.

Admission Requirements
Students must

  • hold a bachelor's degree with demonstrated media arts skills.
  • have an overall grade point average of 3.0 on a 4.0 point scale.
  • attend an interview to assess the applicant's computer literacy, personal skills, and professional experience.
  • present a portfolio. See section on graduate portfolio submission guidelines.
  • submit three letters of recommendation to support the application for admission.
  • arrange for official transcripts to be sent from all colleges and universities attended by the applicant. Transcripts indicating "issued to student" are not considered official. An official transcript bears the original signature of the registrar and/or original seal of the issuing institution. Transcripts should be mailed directly by a registrar or given to the applicant by the registrar in a sealed and signed envelope. International applicants should refer to the guidelines outlined in the International Graduate Application for Admission form. If the student has not completed all undergraduate course work at the time of application, the admission decision will be based on information available at the time of application. However, a final transcript showing graduation must be submitted before enrollment. Students who have taken course work on any Indiana University campus do not need to submit an Indiana University transcript.
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Graduate Portfolio Submission Guidelines
The candidate's portfolio should demonstrate a sufficient mastery of the knowledge and skills of design, interactive media, and/or three-dimensional digital graphics. This includes the ability to technically and creatively integrate the cumulative proficiencies of the candidate's previous discipline into a representation that professionally demonstrates his or her experience, achievements, and creative problem-solving skills in digital technologies. Portfolios should include a collection of 15-20 works (maximum) that represent the candidate's graphics, digital arts, and/or other proficiencies in three of the four areas below. Fifty percent of the works submitted must be from categories 1-3, i.e., areas pertaining to the visual arts.

  1. 2D: Visual communication, design, and/or art
  2. Interactive: Multimedia and/or hypermedia/Web design*
  3. 3D: 3-dimensional graphics, simulation, gaming, and/or animation*
  4. Other: Other forms of media or other disciplines
    • Media: Film, video, etc.*
    • Music: Recordings, scores, etc.
    • Journalism: Examples of creative written works, published works, etc.
    • Other disciplines: Published papers or research in the arts and sciences
All portfolios must be delivered in a digital format such as DVD, CD-ROM, or Web site. Floppy disks, videotapes, film, and audiotape will not be accepted. Portfolios should auto-run or a clear indication of a starting point must be identified. The committee will not open individual folders to review multiple works. The accumulated works must be in a predesigned presentation format (e.g., PowerPoint, Flash, Director, etc.). If the candidate submits copies of written works such as published papers or musical scores, they must be GBC or coil bound into one document. Do not send three-ring binders or other forms of folders or binders.

The portfolio should include a Microsoft Word or PDF document that contains a detailed description of the submitted works with the following information:

  1. Name
  2. Title
  3. Description of work
  4. Date of completion
  5. Resources used: applications (software or program), platform, etc.
  6. Additional comments

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Degree Requirements
The Master of Science degree is a 30 credit-hour program that includes a core of 18 hours and a specialization area of 12 hours. Electives will be available that allow students to specialize in "major field" areas within the new media graduate curriculum. Students must receive a B+ or higher in the required core courses, and a B or higher in the specialization core courses to remain in good standing.

Required Core Courses (18 hours)
N500 Principles of Media Arts Production (3 cr.)
N501 TPCS: Foundations of Multimedia Technology (3 cr.)
N502 Digital Media Motion and Simulation Methods (3 cr.)
N503 Multimedia Design Applications (3 cr.)
N504 Advanced Interactive Design Applications (3 cr.)
N505 Internship in Media Arts and Technology (3 cr.) or
N506 Media Arts and Technology Major Project (3 cr.)
N510 Web Database Concepts (3 cr.)

Specialization Core Courses (12 hours)
Specialization courses must be selected from the 400 and 500 level courses offered in the schools of: Informatics, Art, Journalism, Music, Library and Information Science, or the departments of Computer Science, and Computer Technology.

Area 1:

Computer Science
Computer Technology
Library Information and Science
New Media
Area 2:
Art
Journalism
Music
New Media
The specialization core MUST be approved by the School of New Media academic advisor and the head of graduate studies PRIOR to enrollment in the courses.

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* One or more of these areas should include audio, video, or simulation.

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