Computer Science CS 480 / 001/002
Introduction to Artificial Intelligence
- Section 001: MW, 12:00 pm - 1:15 pm, in Sandbridge
- Section 002: MW, 9:00 am - 10:15 am, in Sandbridge
Professor Zoran Duric.
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.
CS330 and CS310, no exceptions.
- Artifical Intelligence, Poole & Mackworth, 2nd ed.,
- Artificial Intelligence: A Modern Approach, 3rd ed.,
Russell & Norvig, Prentice Hall (recommended)
We will use Python for homework assignments and projects.
Course Web Page CS 480:
Introduction to AI 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:
- Homework: 40% (about every 2 weeks)
- Midterm: 25%.
- Final: 35%.
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.
Laptops Use of laptops, iPads, cell phones, and similar devices are not permitted in the class, except with permission from the instructor.
DisabilitiesIf 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.
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.