Undergraduate

• PBHL-B 275 PROBABILITY WITHOUT TEARS AND WITHOUT CALCULUS (3 cr.) This is a course teaching fundamental concepts in biostatistics through computer simulation. While this is a self-contained course, working knowledge of R or another computer language is desirable.

• PBHL-B 280 BIOSTATISTICS FOR HEALTH DATA SCIENTISTIS A COMPUTATIONAL APPROACH (3 cr.) This course introduces students to the fundamental concepts of biostatistics through computational methods. Topics such as exploratory analysis of health data, probability and probability distributions, and the basics of inference from both the frequentist and Bayesian perspective will be presented.

• PBHL-B 285 CLASSICAL BIOSTATISTICAL REGRESSION METHODS (3 cr.) This is the first course in a two-semester sequence teaching fundamental concepts of classical regression methods in biostatistics, both linear (i.e., least squares) and non-linear (e.g., logistic, Poisson, etc.). While this is a self-contained course, working knowledge of the R statistical environment is desirable.

• PBHL-B 300 INTRODUCTION TO BIOSTATISTICS (3 cr.) This is an introductory survey of statistical reasoning and analysis.

• PBHL-B 385 CONTEMPORARY BIOSTATISTICAL REGRESSION METHODS (3 cr.) This is the second course in a two-semester sequence teaching fundamental concepts of contemporary regression methods in biostatistics, linear and non-linear. Advanced topics like shrinkage methods (principal components, ridge regression, Lasso, etc.), random effects and repeated measures, ,non-parametric regression (smoothing) and additive models will be presented. Pre-requisites are PBHL B-285 (Classical biostatistical regression methods) or permission of instructor. While this is a self-contained course, working knowledge of the R statistical environment is desirable.

• PBHL-B 401 HEALTH DATA SCIENCE INTERNSHIP I (3 cr.) This course provides real-world experience applying data science techniques in the form of an internship within the university or industry setting. Students in the Bachelor of Science program in Health Data Science will be matched with internship supervisors or organizations and undertake projects geared towards applying skills they have acquired from the BS in Health Data Science curriculum.

• PBHL-B 402 HEALTH DATA SCIENCE INTERNSHIP II (3 cr.) This course provides real-world experience applying data science techniques in the form of an internship within the university or industry setting. Students in the Bachelor of Science program in Health Data Science will be matched with internship supervisors or organizations and undertake projects geared towards applying skills they have acquired from the BS in Health Data Science curriculum. Satisfactory completion of the course will be determined jointly by internship supervisor and HDS Faculty. Students should expect to submit a final project and oral report to either the organization internship supervisor, appointed HDS Faculty, or both.

• PBHL-B 420 INTRODUCTION TO STATISTICAL LEARNING (3 cr.) This is a course teaching fundamental concepts of statistical learning, a broad set of methods which refers to making sense of complex data. Such methods include, but are not limited to, the sparse regression (e.g. LASSO), classification and regression trees (CART) and support vector machines. This course is intended for students starting out in this area who perhaps lack the mathematical training to absorb a very technical treatment of these topics. For this reason, this course focuses on the application with less focus on the mathematical details.

• PBHL-B 481 INTRODUCTION TO BIOSTATISTICAL COMPUTING (3 cr.) This is a course teaching fundamental concepts of biostatistical computing, a broad set of skills required for data acquisition, processing and visualization. At the end of the course the student will be able to analyze and manage statistical data, use reproducible reporting functionality, write their own functions, apply string and document processing techniques, have an understanding of object oriented programming in R, use non-standard evaluation (NSE) techniques within the R language, and create reproducible software in package form for the R language.

• PBHL-B 490 ADVANCED BIOSTATISTICAL COMPUTING (3 cr.) This is a second course in biostatistical computing covering advanced concepts including understanding the basics of statistical algorithms and creating data products. At the end of the course the student will understand object oriented systems available in the R programming language.

• PBHL-E 322 PRINCIPLES OF EPIDEMIOLOGY (3 cr.) This course will introduce students to basic epidemiologic concepts including determinants of health and patterns of disease in populations, population health descriptive techniques, use of health indicators and secondary data sources.  Students will gain an understanding of the role of Epidemiology in developing prevention strategies and policy.  Among the topics to be covered are measures of mortality and morbidity, design and analysis of observational studies, community health assessment and program evaluation

• PBHL-H 220 PUBLIC HEALTH SYSTEMS POLICY (3 cr.) This course will examine the concepts of health policy and management and its impact on social behavioral and environmental public health sciences.  Content covered will include fundamental characteristics and organizational structure of the public health system.

• PBHL-P 109 INTRODUCTION TO PUBLIC HEALTH (3 cr.) Introduction to public health using Indianapolis as case study.  Well-being, illness, injury, education, violence, housing, work, cultural and neighborhood variability will be examined to demonstrate the public health perspective on any situation and to see how the state of health in our city connects to the nation and the world.

• PBHL-S 120 INTRODUCTION TO COMMUNITY HEALTH (3 cr.) This course offers students a basic introduction to community health. The class will present health issues with a focus on a community, not individual perspective; as a result, students will learn about public health approaches to health assessment, health promotion and disease prevention.

• PBHL-S 220 NAVIGATING THE MAZE OF HEALTHY LIVING (3 cr.) This course provides students with knowledge and understanding of factors influencing personal health, health behaviors, health promotion, and disease prevention.  The course emphasizes lifestyles and personal decision making as a consumer of health and health care services.

• PBHL-S 330 THEORETICAL FOUNDATIONS OF COMMUNITY HEALTH (3 cr.) This course will explore the theories of health behavior change that are used to develop health interventions for individuals and communities. Students will learn the different theories, how to put them into practice, and how useful and practical they are for various populations.

• PBHL-S 340 CULTURAL CONSIDERATIONS IN THE PROMOTION OF HEALTH (3 cr.) In this course we will examine what is meant by culture, the ways in which culture intersects with health issues, and how public health efforts (domestic and global) can benefit by understanding and working with cultural processes.

• PBHL-S 399 INTRODUCTION TO RESEARCH METHODS IN PUBLIC HEALTH (3 cr.) Course examines fundamental research methods used in the field of public health.  The focus is on understanding how community and clinical data are collected in scientifically valid methods and how study results are interpreted.

• PBHL-S 415 APPLIED HEALTH PROMOTION METHODS (3 cr.) This course provides students with understanding, application, and practice of key methods in community health promotion including health communication, health education, health policy, and community mobilization strategies. Application of theory and implementation of methods at individual and community levels are addressed.

• PBHL-S 425 A PUBLIC HEALTH JOURNEY THROUGH THE SOCIAL DETERMINANTS OF HEALTH (3 cr.) This course is designed to introduce students to an ecological perspective of health, going beyond biology and individual factors to investigate the influence on health of the social systems in which individuals live, work, and play.

• PBHL-S 460 BIOSOCIAL APPROACH TO GLOBAL HEALTH (3 cr.) The course will provide students with an opportunity to examine key global health issues using a biosocial justice perspective. Students will participate in authentic global health work as they will partner with MPH students from a university global partner to develop a strategic plan to address a global health issue. The course will require students to engage in analytical reading and discussions, and produce and deliver impactful written and oral communications.

• PBHL-S 499 CAPSTONE EXPERIENCE BSPH COMMUNITY HEALTH (3 cr.) This course integrates public health theory and practice in an applied practice setting.  The capstone experience is tailored to students' expected post-baccalaureate goals. A variety of public health experiences are available, including an internship, a service- learning project, a portfolio project, a research paper, and an honors thesis.