In the first three semesters of studying psychology, you have learned about a wide variety of perceptual, cognitive and motor processes. What you have not learned about is that some highly complex processes can be captured and explained using simple mathematical or computer models. This class will introduce you to this powerful approach through a  combination of interactive theory lectures and hands-on computer lab exercises. The lectures will introduce a diverse range of topics in perception, decision making, learning and memory; and methods such as psychophysics, signal detection theory and neural network modeling. The computer labs will introduce scientific programming in Matlab based on realistic examples of psychological research. In the the class project, students will design their own experiment, and then implement and analyze it using Matlab. The integration of theory and practice in this class will help students learn the abstract theory and how to use computers to run and analyze their future experiments, such as in their Bachelor and Master projects.

This class is open to Bachelor students of other disciplines who would like to see mathematical and computational tools applied to the analysis and description of cognitive processes.