EXPERIMENTAL DESIGN AND STATISTICAL METHODOLOGY

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Identify appropriate experimental designs relevant to contemporary neuroscience research Audience: Graduate 2. Recognize well-designed, well-controlled experiments Audience: Graduate 3. Consider experimental design and analysis principles in their own research Audience: Graduate 4. Describe appropriate quantitative approaches used in a variety of experimental systems Audience: Graduate 5. Recognize (in)appropriate uses of statistics in neuroscience data analysis, interpreting results, and forming appropriate conclusions Audience: Graduate 6. Select appropriate application of statistics to neuroscience data in different experimental paradigms Audience: Graduate Learning Outcomes: 1. Identify appropriate experimental designs relevant to contemporary neuroscience research Audience: Graduate 2. Recognize well-designed, well-controlled experiments Audience: Graduate 3. Consider experimental design and analysis principles in their own research Audience: Graduate 4. Describe appropriate quantitative approaches used in a variety of experimental systems Audience: Graduate 5. Recognize (in)appropriate uses of statistics in neuroscience data analysis, interpreting results, and forming appropriate conclusions Audience: Graduate 6. Select appropriate application of statistics to neuroscience data in different experimental paradigms Audience: Graduate