COEN 166 / 266
Syllabus
Course Goal: Understand and be able to understand apply fundamental strategies in Artificial Intelligence, AI for Gaming, and Neural Networks.
Instructor:Thomas J. E. Schwarz, S.J. Email: tjschwarz@scu.edu. Tel.: 551-6064. Office: 220 Bannon Engineering.
Contents:
  1. Artificial Intelligence
  2. Intelligent Agents
  3. Problem Solving
    1. Solving Problems by Searching
    2. Informed Search and Exploration
    3. Constraint Satisfaction Problems
    4. Adversarial Search
  4. Knowledge and Reasoning
  5. Neural Networks
Evaluation:

Course grade will be based on the following:

4 projects (15% each)

midterm (15%)

final (25%)

Course Policies:The School of Engineering Honor's Code applies. Group work needs to be explicitly approved. Even if group work is approved, all the work needs to be handed in by all the individuals claiming credit for the work. Due credit needs to be given to contributions from another person.
Class Attendance: Class attendance is mandatory. Unexcused absences results in the deduction of 1 percentage point from the final grade.
Text Book Artificial Intelligence: A Modern Approach (Second Edition) by Stuart Russell and Peter Norvig, Prentice Hall Series in Artificial Intelligence
Deadlines: All projects need to be demonstrated Wednesday of Final's Week at the latest, though earlier demonstration is recommended.
Disability Accomodation Procedure: To request academic accommodations for a disability, students must contact Disabilities Resources located on the second floor of Benson. Phone numbers are (408) 554-4111; TTY (408)554-5445. Students must register and provide documentation of a disability to Disabilities Resources prior to receiving academic accommodations.

 

© 2009 Thomas Schwarz, S.J., COEN, SCU SCU COEN T. Schwarz COEN 266