Computational Modelling of Human Sensori-Motor Control and Learning

3 credits

Learn the fundamentals of modeling human behavior, including Bayesian probability theory, learning algorithms, and simulation. Gain proficiency with simulating Bayesian and non-Bayesian models with Python code to use these approaches to address novel research questions. [3-0] Prerequisite: KIN_V 206 or HES_O 340 and KIN_V 318, or another introductory Python programming course (e.g., CPSC_V 110, Python version of DSCI_V 100).