BCB720 Introduction to Statistical Modeling

BCB is a semester-long course taught each fall that introduces foundational statistical concepts and models that motivate a wide range of analytic methods in bioinformatics, statistical genetics, statistical genomics, and related fields. It is an intensive course, packing a year’s worth of probability and statistics into one semester. It covers probability, common distributions, Bayesian inference, maximum likelihood and frequentist inference, linear models, logistic regression, generalized and hierarchical linear models, and causal inference, plus, typically, additional topics from guest lecturers. For the most up-to-date information on syllabi and preparatory exercises, click here.