CSE 150A. Introduction to Artificial Intelligence: Probabilistic Reasoning and Decision-Making (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/CSE.html#cse150a
Description
Introduction to probabilistic models at the heart of modern artificial intelligence. Specific topics to be covered include probabilistic methods for reasoning and decision-making under uncertainty; inference and learning in Bayesian networks; prediction and planning in Markov decision processes; applications to intelligent systems, speech and natural language processing, information retrieval, and robotics. Prerequisites: CSE 12 or DSC 40B and CSE 15L or DSC 80 and COGS 118D or CSE 103 or ECE 109 or ECON 120A or MATH 180A or MATH 183 and MATH 20A and MATH 18 or MATH 31AH; restricted to students within the CS25, CS26, CS27, CS28, EC26, and DS25 majors. All other students will be allowed as space permits.
Prerequisite courses
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Successor courses
CSE 150A is a prerequisite of the following 3 courses: