BIOL 607 - Biostatistics and Experimental Design

Formerly An Introduction to Computational Data Analysis for Biology
3 Credit(s) | Lecture | Graded
Not repeatable for credit

Description:
This course will cover the basic statistical knowledge necessary for students in biology to design, execute, and analyze a basic research project. The course aims to have students focus on thinking about the biological processes that they are studying in their research and how to translate them into statistical models. The course will take a hands-on computational approach, teaching students the statistical programming language R. In addition to teaching the fundamentals of data analysis, we will emphasize several key concepts of efficient computer programming that students can use in a variety of other areas outside of data analysis.

Enrollment Requirements:
Pre-requisite = Graduate degree Biology, Integrative Biosciences, Computational Science student or permission

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