Artificial Intelligence
Fall 2017

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A study of problems in artificial intelligence and algorithms for solving those problems. Game-tree search, search and nondeterministic programming, solving puzzles, constraint satisfaction, scene labeling, temporal logic, multiple fault diagnosis, resolution theorem proving, semantic tableaux, congruence closure, STRIPS and partial-order planning, lifting, natural language parsing, and semantic interpretation. Prerequisites: EE368 Data Structures.

General Information

Lectures: M,W,F 11:30pm - 12:20pm, WTHR 160.

Professor: Jeffrey Mark Siskind, EE313E, 765/496-3197,
Office Hours: T,R 4:30pm - 5:30pm

EE570 | ECE | ECN | Purdue University