Today is Monday, Dec. 9, 2019

Department of

Graduate Programs in Biomedical Informatics

PhD Program Deadlines: Dec 1 (non-binding early action) and Feb 15 (general admission)

General Medical Sciences (Select 2 Courses)

BE 7066 - Principles of Clinical Trials
A historical perspective of clinical trials. Type I, II, III, and IV trials. Protocols and Institutional Review Board approval. Study designs. Simple randomization. Block randomization. Adaptive randomization. Use of R software in implementing randomization procedures. Double-blind studies. Sample size calculations. Data analysis issues. Early termination of trials. Follow-up studies. Reporting and interpreting results of trials. Multi-center trials.

BE 7068C - Decision and Cost-Effectiveness Analysis
Introduction to methods and applications of decision analysis and health economic analyses such as cost-effectiveness and cost-benefit analyses in medical decision making. Key topics include the fundamentals of building decision models, Bayes' Theorem and the interpretation of diagnostic test results, patient preference-based utilities, design and assessment of economic analyses of health care, and advanced topics including Markov modeling and Probabilistic Sensitivity Analysis using second order Monte Carlo modeling. The course format consists of a series of didactic lectures, workshops, and detailed clinical examples. Computer-based exercises are used during workshops, using decision modeling software [Decision Maker for Windows - WinDM®], and Excel™ spreadsheets. The culmination of the course is the development of a decision analytic application, usually a decision analysis. Many students have continued to work on their projects and have turned them into presentations at regional and national conferences and peer-reviewed publications.

BE 7076 - Introduction to Epidemiology
The course introduces methodology for studies of the cause of disease in human populations. Topics that are covered are chronic disease, infectious disease, and occupational and environmental epidemiology. Sources, collection, handling, and interpretation of health data are also discussed.

GNTD 7001 - Molecular and Cellular Biology
Primarily a lecture based course that represents the first course in the core curriculum series that is designed for all first year graduate students in the College of Medicine. Topics include DNA replication, recombination, and repair; Cell cycle regulation; Transcriptional regulation; Translational regulation; Protein trafficking; etc.

 

Data Management (select one course)

EECE 6010 – Database Management (3 credit hours)
Database formal architectures emphasizing modeling and theory. Formal methods for database architectures; relational, hierarchical, object, object-relational and network; data dependencies, normalization, integrity constraints, concurrency, heterogeneous systems.

BE/PH 8093 – Introduction to Database Management Systems (3 credit hours)
This course emphasizes on hands-on experience of developing and using databases. Students will learn basic concepts of database techniques, use SQL to develop relational databases (with MySQL) and use NoSQL to develop non-relational databases (with CouchDB), and develop database applications to solve practical problems in biomedical science with big data. The course is highly interactive. Students will be trained to write R code in the classroom to interact with databases and perform data analyses.

Biomedical Informatics PhD Curriculum 2019-2020