LIGN 228. Probabilistic Models of Cognition (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/LING.html#lign228
Description
(Same as PSYC 232.) 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. Recommended preparation: previous experience with statistics, machine learning, and/or functional programming helpful.
Prerequisite courses
LIGN 228 has no prerequisite courses.
Successor courses
No courses have LIGN 228 as a prerequisite.