CSSE 313

Artificial Intelligence

Rose-Hulman Institute of Technology · UGRD · Fall 2026

2 sections2 open now
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Catalog description

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.

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Current meeting, instructor, credit, and enrollment details

Updated 5 hours ago

01

OpenSeats: 24/24 seats Last recorded: Aug 15, 2026, 3:50 PM
Class #1240Fall 2026UGRD4 credits
0 available24 enrolled24 capacity0/5 waitlist
Days & times
MTRF 1400-1450
Meeting dates
Sep 3 – Nov 19
Location
Olin Hall O259
Instructor
Wollowski, Michael

Section notes

Instructional method: Lecture

Details checked 5 hours agoSeats checked 5 hours ago

02

5 openSeats: 19/24 seats Last recorded: Aug 15, 2026, 3:50 PM
Class #1241Fall 2026UGRD4 credits
5 available19 enrolled24 capacity0/5 waitlist
Days & times
MTRF 1500-1550
Meeting dates
Sep 3 – Nov 19
Location
Olin Hall O259
Instructor
Wollowski, Michael

Section notes

Instructional method: Lecture

Details checked 5 hours agoSeats checked 5 hours ago
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