CS 444 -- Artificial Intelligence

Semester Specifics

• Spring 2020
• Spring 2019

Resources

Click here for a list of resources (code, sample exams, etc.)

Catalog Description

Students will study the history, premises, goals, social impact and philosophical implications of artificial intelligence. Students will study heuristic algorithms for large state spaces and learn to develop recursive and non-deterministic algorithms.

Prerequisites: A grade of "C-" or better in CS 240.

Course Description

• Understand uninformed, informed, heuristic, and adversarial search techniques
• Optimization techniques including hill climbing, simulated annealing, and genetic algorithms
• Making optimal decisions/game playing
• First order logic and inference
• Reasoning with uncertainty and in partial observable environments

Course Material/Textbook

This course will use the 3rd edition of Artificial Intelligence, 3rd Ed. by Stuart Rusell and Peter Norvig (this is a required text). Other material, videos and assignments will be assigned.

Programming Languages

All programming work for this course will utilize the Python 3 programming language, which is included on the Ubuntu Mint virtual machine image maintained by JMU's own Unix Users Group (UUG). You will be expected to learn Python on your own (which is not that difficult given that you already know at least Java). Usually, the first programming assignment will be something simple, just to make sure you are familiar with the language.

Here are a few references to familarize yourself

• Learning with Python 3
• Think Python