Computer Science CS 480 / 001

Introduction to Artificial Intelligence

Meets

Online MW 12:00-1:15 pm

Office hours

Online MW 6:00-7:00 pm and by appointment

Professor

About the Class

This course explores principles and methods for knowledge representation, reasoning, learning, problem solving, planning, heuristic search, and natural language processing and their application to building intelligent systems in a variety of domains. Python programming language is used.

Prerequisites

CS330 and CS310, no exceptions.

Textbooks

Artificial Intelligence, Poole & Mackworth, 2nd ed., Cambridge University Press (required), available online
Artificial Intelligence: A Modern Approach, 3rd ed., Russell & Norvig, Prentice Hall (recommended)

Software

We will use Python for homework assignments and projects. We will use AIPython, AIspace, and AISpace2 (see the book page)

Course Web Page

We will communicate through piazza. Slides, handouts, and assignments will be posted on the web page.

Grading

Grading will be based on a combination of the following factors:

Programming homework: 40% (about every 2 weeks)
Practice problem sets: 20%
Midterm: 20%.
Final: 20%.

Honor Code

The class enforces the GMU Honor Code, and the more specific honor code policy special to the Department of Computer Science. You will be expected to adhere to this code and policy.

Disabilities

If you have a documented learning disability or other condition which may affect academic performance, make sure this documentation is on file with the Office of Disability Services and come talk to me about accommodations.

Course Outcomes

1. A knowledge of basic uninformed and heuristic search techniques. 2. A knowledge of basic logic or probabilistic reasoning techniques. 3. A knowledge of basic machine learning techniques. 4. An ability to implement basic AI methods in Python. 5. An ability to identify and apply an appropriate AI method to a given problem.