Biological Data Analysis and Programming

4 credits · Undergraduate credit

As the biological sciences -- including epidemiology, ecology, molecular genomics, evolutionary biology-- continue to experience a data revolution, the importance of applying models and statistics to data remains important regardless of future career paths. In this course, the objective is to provide students with an introduction to programming concepts and applying those to analyzing biological data. Students will also learn several important concepts in probability and statistics necessary for conducting these analyses. Finally, students will learn how to manage code and data, how to conduct simulations, automate analyses, process large datasets, and generate high-quality graphics to communicate results.