CSCI 450: Artificial Intelligence
Fall 2019

Meeting times

Section 1:

  • MF 10-10:50PM Roddy Hall Rm 136

  • W 10-11:50PM Roddy Hall Rm 136/Mac Lab

Section 2:

  • MF 12-12:50PM Roddy Hall Rm 136

  • T 10-11:50AM Roddy Hall Rm 154/Mac Lab

Note: Course will be held online on Nov 11 and 15th via D2L

Description

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

Textbooks

Artificial Intelligence: A Modern Approach. Stuart Russell and Peter Norvig. Pearson Education. 2009 (3rd edition). ISBN 9780136042594. ANSI Common LISP. Paul Graham, Prentice Hall; 1st edition, ISBN: 0133708756.

Grading
  • Midterm: 20%

  • Final: 25%

  • Homework, Programming Assignments: 40%

  • Paper: 15%

Not attending labs may result in overall grade reduction (see attendance)

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
Syllabus
Assignments
Resources

2018 — Stephanie Schwartz — Millersville University