PSYC 6273. Computer programming for experimental psychology

Department of Psychology
York University

Fall term 2009
Wednesday, 11:30-2:30
ACW 204

• Course syllabus

General description: This graduate course covers computer programming methods that are useful in experimental psychology. The course assumes no previous programming experience, and brings students to the point where they are able to write useful programs to advance their own research. Classes are held in a computer laboratory, and each week's class consists of a lecture followed by programming practice on assigned problems. Topics include the MATLAB programming language, data files, curve fitting, Monte Carlo simulations, statistical tests, journal-quality data plots, 2D and 3D graphics (OpenGL), and interfacing to external devices.

Lecture notes

• Lecture 1. Introduction to MATLAB	Problems Code Overview
• Lecture 2. Data types	Problems Code
• Lecture 3. 2D and 3D graphics	Problems Code
• Lecture 4. The psychophysics toolbox	Problems Code
• Lecture 5. Curve fitting	Problems Code
• Lecture 6. Curve fitting and bootstrapping	Problems Code
• Lecture 7. Bootstrapping and calibration	Problems Code
• Lecture 8. Statistics and toolboxes	Problems Code

Problem sets

• Problem set 1 Solutions
• Problem set 2 Solutions
• Problem set 3