CSCI1411
Foundations in AI
Fall 2025
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 Location TBD |
| Exam: | If an exam is scheduled for the final exam period, it will be held: |
| Max Seats: | 20 |
| CRN: | 18574 |
Spring 2026
As above
| Instructor(s): | |
| Meets: | MWF 1pm-1:50pm Location TBD |
| Exam: | If an exam is scheduled for the final exam period, it will be held: |
| Max Seats: | 40 |
| CRN: | 26701 |
