BIOINF 2101 - PROBABILISTIC METHODS
Minimum Credits: 3
Maximum Credits: 3
This seminar provides an introduction to computational approaches for probabilistic modeling and inference. A particular focus is placed on Bayesian networks. Although other probabilistic models also will be studied. Medical applications are emphasized; however, the principles are general and no medical knowledge is needed to take the course. The course does not require knowledge of a computer programming language. Understanding basic probability theory is helpful.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Click here for class schedule information.
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