CSCI 450: Artificial Intelligence
Fall 2020

Meeting times

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.

Additional Information

2018 — Stephanie Schwartz — Millersville University