CMSC 421 -- Introduction to Artificial Intelligence
This course introduces the student to a range of ideas and methods in AI, selected in various semesters largely from among: automated heuristic search, planning, games, logical and statistical inference, learning, natural-language processing, vision, robotics, and intelligent agents. The emphasis this semester will mostly be on intelligent agents, learning, and inference.
Contact Info and Office Hours
Instructor: Don Perlis email@example.com Tuesdays 3:00-5:00pm AVW 3253
TAs (in AVW 4101 and 4103):
Jiali Huang firstname.lastname@example.org Mondays 4:45-6:45pm
John Kanu email@example.com Fridays 10:45am-12:45pm
Chris Maxey firstname.lastname@example.org Mondays 9:00-11:00am
JJ Rosenberg email@example.com Wednesdays 9:00-11:00am
David Sekora firstname.lastname@example.org Fridays 4:00-6:00pm
WORKLOAD and GRADING
Textbook: there will be no required/official textbook assigned for this
class. Extensive lecture notes will be posted regularly. For those
who wish additional sources, the following may be useful to consider:
1. Artificial Intelligence, a Modern Approach, by Russell & Norvig (any edition)
2. Artificial Intelligence: Foundations of Computational Agents, by Poole & Mackworth, available free online
PIAZZA: be sure to activate your PIAZZA account, so you can receive important messages and discussions!!!
AI IN THE NEWS
Academic Integrity; in addition, please note that posting project solutions in a public online location is a violation of your academic integrity policy.
General UMCP Course Policies
Course evaluations are important and the CS department and faculty take student feedback seriously. Students can go here to complete their evaluations toward the end of the semester; thanks in advance!