Office Hours:
        12:00 -1:00 MWF
        11:00 - 12:00 Tu
        others by appointment

Text: Russell and Norvig, Artificial Intelligence: A Modern Approach, 3rd Edition

Class web page: http://phoenix.goucher.edu/~jillz/cs340

Course Description and Goals:
We will look at a broad range of techniques used in artificial intelligence. These will include search methods for problem solving, methods for using a knowledge base, planning algorithms, and machine learning methods. This course will combine theoretical principles as well as hands on practice using many of the techniques presented in class.

Course Objectives:

• Apply the main approaches to artificial intelligence such as blind and heuristic search, game search, logical inference, planning, machine learning, and neural networks.
• Recognize problems that may be solved using artificial intelligence.
• Implement artificial intelligence algorithms in programming projects of substantial complexity
  
   

The following is an approximation of the content and pace:

Course Mechanics
A portion of class time will be spent doing lab work. I will provide many of the software tools so that the programming will not be too overwhelming or burdensome but will allow you to solve some interesting AI problems.  Work that is assigned for outside of class must be done individually. (See the Honor code for definition and disposition of academic dishonesty.)

Grading
2 Exams (20% each) 40%
Labs / Homework 20%
Projects 40%