CSE140: Artificial Intelligence

Introduction to the contemporary concepts and techniques of artificial intelligence, including any or all of: machine perception and inference, machine learning, optimization problems, computational methods and models of search, game playing and theorem proving. Emphasis may be on any formal method of perceiving, learning, reasoning, and problem solving which proves to be effective. This includes both symbolic and neural network approaches to artificial intelligence. Issues discussed include symbolic versus nonsymbolic methods, local versus global methods, hierarchical organization and control, and brain modeling versus engineering approaches. Lisp or Prolog may be introduced. Involves one major project or regular programming assignments. Prerequisite(s): CSE 101; and CSE 40 or STAT 132.

5 credits

Year	Fall	Winter	Spring	Summer
2024-25	Section 01 Niloofar Montazeri (nimontaz)	Section 01 Niloofar Montazeri (nimontaz)
2023-24	Section 01 Leilani H. Gilpin (lgilpin)		Section 01 Niloofar Montazeri (nimontaz)
2022-23	Section 01 Narges Norouzi (nanorouz)	Section 01 Razvan Marinescu (ramarine)	Section 01 Leilani H. Gilpin (lgilpin)
2021-22		Section 01 Leilani H. Gilpin (lgilpin)	Section 01 Leilani H. Gilpin (lgilpin) Section 01 Leilani H. Gilpin (lgilpin)
2020-21		Section 01 Lise Getoor (getoor)		Section 01 Narges Norouzi (nanorouz) Session 1

Comments

Formerly CMPS 140

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