Stat 540 Statistical methods for high dimensional biology
Students are expected to run R on their own computer or a computer they have plenty of access to and control over and be prepared to do a lot of self-guided learning.
Abstract
Statistics: you should have already taken university level introductory statistics course. Prior to starting the course, we expect you to review notes from an introductory statistics course, to be familiar with common probability distribution, random variables, and hypothesis testing. We will review these topics, but you should have already heard/seen these before. Biology: No requirements, but you are expected to learn things like the difference between a DNA and RNA and a gene and a genome. R: no experience required but be prepared to do a lot of self-guided learning. Go ahead and start now by installing R and the HIGHLY RECOMMENDED “integrated development environment” (IDE) RStudio! Students are expected to run R on their own computer or a computer they have plenty of access to and control over. The best set-up, if possible, is to bring your own laptop to the computing seminars.