BIOINF 2118 - STATISTICAL FOUNDATIONS OF BIOMEDICAL INFORMATICS

Minimum Credits: 3
Maximum Credits: 3
This is an introductory probability and statistics course intended primarily for biomedical informatics students. The first part of the course covers probability, including basic probability, random variables, univariate and multivariate distributions, transformations, expectation, numerical integration, and approximations. The second part of the course covers statistics, including study design, classical parametric inference, hypothesis testing, Bayesian inference, non-parametric methods, classification, ANNOVA, and regression. We will use r for statistical computing and applications. Examples and applications will focus on biomedical informatics and related discipline.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade

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