CSCI1411

Foundations in AI

Fall 2026

This course will provide broad coverage of core topics in artificial intelligence (AI), as a prelude to students taking more in-depth AI courses later on. To this end, the course will introduce students to prevalent AI models, both logical and probabilistic, as well as algorithms to solve these models based on search, planning, reinforcement learning, and supervised and unsupervised machine learning. These ideas will be applied to develop basic natural language processing, computer vision, robotic, and multiagent systems, all with an eye towards building socially responsible AI. One can get credit for only one of CSCI 0410 and CSCI 1411.

Instructor(s):
Meets:
MWF 1pm-1:50pm
Exam Group:TBA
Max Seats:40
CRN:13682

Spring 2027

As above

Instructor(s):
Meets:
MW 8:30am-9:50am
Exam Group:TBA
Max Seats:40
CRN:24804