Introduction to Artificial Intelligence
Spring 2017

Syllabus | Lectures | Problem Sets | Solutions | Documentation | Software | What's New?

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: T,Th 3:00pm - 4:15pm, EE115.

Professor: Jeffrey Mark Siskind, EE313E, 765/496-3197,
Office Hours: M,W 4:00pm - 5:00pm

EE473 | ECE | ECN | Purdue University