UMBC CMSC 671 Fall 2020
Principles of Artificial Intelligence

This graduate course provides a general introduction to Artificial Intelligence concepts and techniques. We will cover a good part of the material in our text, Artificial Intelligence: A Modern Approach (fourth edition) by Stuart Russell and Peter Norvig, including the agent paradigm in AI systems, problem solving, search, game playing, knowledge representationand reasoning, natural language processing, planning, andmachine learning .

Please see this Google doc for UMBC Policies and Resources during COVID-19.

See the about 461 page and the schedule for a more detailed breakdown but be aware that the order and timing is subject to change.

When and Where

• Synchonous lectures, Tue/Thr 1:00-2:15pm online via Webex
• Some asynchronous lecture material will also be available
• Recorded videos will be saved on Blackboard
  

Instructor

Tim Finin
finin@umbc.edu
Office Hours: Tue/Fri 9-10am via webex

Teaching Assistant

Tiantian Xie, xtiant1@umbc.edu
office hours: TBD

Grader

Pratik Pradeep Jogdand pratikj1@umbc.edu