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Rose-Hulman Institute of Technology · 4 credits · UGRD

Section information text: In this course, we will study modern AI systems, their current accomplishments, positive as well as negative, issues surrounding their training, and their inner workings. We will formalize those systems as pattern recognizers and distinguish them from classical, symbol-manipulating AI. We will study how these systems become so incredibly powerful through a data driven feature learning. We will look at how they represent knowledge and study their reasoning abilities. We will additionally spend some time discussing the projected impact of anticipated systems and study the building of beneficial AI systems.
Fall 2026 · 2 sections
Sep 3 – Nov 19
| Section | Days & time | Location | Instructor |
|---|---|---|---|
| 01Class #1240 | Mo Tu Th Fr · 2:00 – 2:50 PM | Olin Hall O259 | Wollowski, Michael |
| 01 notes: Instructional method: Lecture | |||
| 02Class #1241 | |||
| Mo Tu Th Fr · 3:00 – 3:50 PM |
| Olin Hall O259 |
| Wollowski, Michael |
| 02 notes: Instructional method: Lecture |