CS440/ECE448 Artificial Intelligence, Spring 2025¶
Major topics in and directions of research in artificial intelligence: basic problem solving techniques, knowledge representation and computer inference, machine learning, natural language understanding, computer vision, robotics, and societal impacts.
3 undergraduate hours. 3 or 4 graduate hours. Prerequisite: CS 225; one of CS 361, STAT 361, ECE 313, MATH 362, MATH 461, MATH 463, STAT 400 or BIOE 310.
Contents:
On-line Tools¶
MediaSpace will host recordings of all lectures.
CampusWire will be used for on-line question answering. The enrollment code is available in the slides for lecture 1.
PrairieLearn will be used for quizzes. Add yourself to this page.
Gradescope will be used for machine problems. The registration code is published on CampusWire.
PrairieTest will be used for exams. You will be enrolled by course staff prior to exam 1.
Textbook¶
The textbook is Poole and Mackworth, Artificial Intelligence, 3rd edition.
You will also need a reference for Python, which we will use to write the MPs. A good place to start is the the Python Tutorial.