PSYC 6273.  Computer programming for experimental psychology

Department of Psychology
York University

Fall term 2016
Tuesday and Thursday, 11:30-1:00


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

• Topic 1  Introduction to MATLAB    code       solutions   
• Topic 2  Matrices and functions    code       solutions   
• Topic 3  Loops    code       solutions   
• Topic 4  Plots    code       solutions   
• Topic 5  Files    code       solutions   
• Topic 6  The psychophysics toolbox    code    problems    solutions   
• Topic 7  Curve fitting    code    problems    solutions   
• Topic 8  Monitor calibration    code    problems    solutions    demo    calibration   
• Topic 9  Plots    code    problems    solutions   
• Topic 10  The bootstrap    code    problems    solutions   

Tests and problem sets

Problem set 1    solutions
Problem set 2    solutions    example   
Test bank