Tues-Thurs 10am-11:50am online synchronous
Introduction to artificial intelligence including problem solving, search, heuristic methods, machine learning, knowledge representation, natural language processing, computer vision, expert systems, theorem proving and current applications. Concepts illustrated through programs developed in LISP or Prolog. Prerequisite: C- or higher in CSCI 362
Recommended Text: Artificial Intelligence: A Modern Approach. Stuart Russell and Peter Norvig. Pearson Education. 2019 (4th edition). ISBN 9780134610993 Optional Text: ANSI Common LISP by Paul Graham, Prentice Hall; 1st edition, ISBN: 0133708756.
Midterm: 15%
Final: 20%
Homework, Programming Assignments: 35%
Paper: 15%
Participation: 15%
Grading will be on a 100 point scale, with 93%=A, 90%= A-, 87%=B+, 83%= B, etc. You must complete all exams, labs, and assignments in order to pass the course.
2018 — Stephanie Schwartz — Millersville University