MMG 3002Y, Session 1 (Fall 1), 78 hours, 1 credit
The ability to effectively translate genomic test results into clinical plans and to interpret the literature of genomic medicine requires a strong foundation in advanced statistics. This course uses example-based teaching of frequentist and Bayesian statistics. Students are taught statistical theory and are required to actively employ modern statistical methods and software in the analysis of genomic data. Students learn how to identify the appropriate statistical methods for a given data set, apply these methods, and critically interpret these results. This course will focus on practical knowledge, with interspersed discussions of how biological statistics integrates into the larger fields of computer science, applied math, and biology.
Students are required to bring a computer to class Wi-Fi internet connection to be able to participate in the labs for tutorials and labs.