PUBH-5512-01: Decision Analysis in Medicine and Public Health (3 hrs)

·         Instructor: Ashley Leech

·         Description: This course provides an overview of qualitative and quantitative decision making with a dominant focus on quantitative techniques, using clinical and economic endpoints and their role in clinical strategies of care and health policy. Topics include: cognitive heuristics, Bayes' theorem, ROC analysis, the study of diagnostic tests, meta-analysis, health states and utility measurement using expected value decision making, decision tree analysis, Markov processes and network simulation modeling, quantitative management of uncertainty, cost theory and accounting, cost-effectiveness and cost-utility analysis.

·         How to register: Instructor approval is not required; you can register for these courses in YES > Student Registration (instructions here)

PUBH-5560-01: Data Science for Learning Health Systems (1 hr)

 ·         Instructor: Jordan Everson  Description: This course is designed to provide an intuition-based primer in using rapidly growing biomedical data to support continuous learning in healthcare. Students will gain a conceptual overview of the Learning Health System and the infrastructure necessary to support its development. Students will also be exposed to key concepts in data science, 'big data', and the application of a diverse methodologies to improve the quality of healthcare outside of traditional clinical trials and related approaches. No prior experience in data science is necessary, but an introductory statistics course will be helpful.

·         How to register: Instructor approval is not required; you can register for these courses in YES > Student Registration (instructions here)

Additional elective offerings can be found in YES. Feel free to contact Dr. David Stevenson to talk more about these or other electives for Spring 2020.