

Course ID:  BINF 8441E. 3 hours. 
Course Title:  Statistical Inference for the Life Sciences 
Course Description:  Introductory statistics for students in the life sciences,
including probability, discrete and continuous random variables,
distributions, expectations, maximum likelihood, Bayesian
inference, hypothesis testing, and linear regression. These
topics will be mixed with applications of the statistical
concepts to biological data. Statistical inference and real data
analysis are implemented. 
Oasis Title:  Stat Inference for Life Sci 
Nontraditional Format:  This course will be taught 95% or more online. 
Semester Course Offered:  Offered spring semester every year. 
Grading System:  AF (Traditional) 

Course Objectives:  Students will learn concepts of statistical inference,
particularly maximum likelihood and Bayesian inference, and
apply techniques to biological data. Students will write and run
computer simulations that will strengthen their knowledge of
statistical concepts. 
Topical Outline:  Probability, random variables, probability distributions,
expectation, maximum likelihood, hypothesis testing, Bayesian
inference, and linear regressions. 