DESIGN AND ANALYSIS OF BIOLOGICAL STUDIES
Experimental design and proper data analysis are critical processes for scientific research. Planning and performing research studies have statistical implications that influence how results are interpreted. Learn the fundamentals of generalized linear models, experimental design, and data analysis using common examples from biological studies.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Use regression models properly Audience: Graduate 2. Select the most appropriate experimental design for a particular experiment Audience: Graduate 3. Select the most appropriate method of data analysis Audience: Graduate 4. Determine the most appropriate model that fits the data Audience: Graduate 5. Interpret the results of the data analysis Audience: Graduate 6. Use the statistical software R to analyze data Audience: Graduate Learning Outcomes: 1. Use regression models properly Audience: Graduate 2. Select the most appropriate experimental design for a particular experiment Audience: Graduate 3. Select the most appropriate method of data analysis Audience: Graduate 4. Determine the most appropriate model that fits the data Audience: Graduate 5. Interpret the results of the data analysis Audience: Graduate 6. Use the statistical software R to analyze data Audience: Graduate
Sources
- Course catalogue ↗2026-2027