NEURBIO 257: Statistics for Neurobiologists is taught in Winter Quarter by Professor Norbert Fortin.
Dr. Norbert Fortin
Restriction: Graduate students only.
Course Objective:
Introduction to common methods for statistical analysis used in neurobiology. Topics covered include t-tests, ANOVAs, correlations and regressions, general linear model, power analysis, and non-parametric tests.
Sample Syllabus:
| # | Topic |
| 1 | Class Overview |
| 2 | Descriptive Statistics and Assignment #1 |
| 3 | Correlation, Regression, and Prediction |
| 4 | In-Class Assignment #2 |
| 5 | Probability and Sampling Distributions |
| 6 | In-Class Assignment #3 |
| 7 | hypothesis Testing and T-Tests |
| 8 | In-Class Assignment #4 |
| 9 | Review Session |
| 10 | MIDTERM EXAM |
| 11 | One-Way ANOVAs (Factorial and Repeated Measures) |
| 12 | In-Class Assignment #5 |
| 13 | Two-Way ANOVAs (Factorial and Repeated Measures |
| 14 | In-Class Assignment #6 |
| 15 | Review of Midterm and ANOVA Assignments (#5 and #6) |
| 16 | Non-Parametric Tests, Resampling Techniques |
| 17 | Assignment #7 |
| 18 | Categorical Data (e.g., Chi-Squares) |
| 19 | Power Failures (Replicability Issues), Power Analysis |
| 20 | Power Analyses and Other Aspects of Experimental Design |
| FINAL EXAM |