PSYC 232. Probabilistic Models of Cognition (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/PSYC.html#psyc232
Description
Computational theories of human cognition, particularly Bayesian approaches. Techniques may include directed graphical models; hierarchical models; nonparametric models; probabilistic programming languages. Topics may include decision-making; perception; causal reasoning; categorization; language. Cross-listed with LIGN 228. Recommended preparation: Previous experience with statistics, machine learning, and/or functional programming helpful. Prerequisites: graduate standing.
Prerequisite courses
PSYC 232 has no prerequisite courses.
Successor courses
No courses have PSYC 232 as a prerequisite.