CSCI0410
Foundations of 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. Students who take this course may not take CSCI 1411.
| Instructor(s): | |
| Meets: | MWF 1pm-1:50pm |
| Exam Group: | TBA |
| Max Seats: | 125 |
| CRN: | 13673 |
Spring 2027
As above
| Instructor(s): | |
| Meets: | MW 8:30am-9:50am |
| Exam Group: | TBA |
| Max Seats: | 125 |
| CRN: | 24571 |