MS&E435
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Economics of the AI Supercycle
Management Science and EngineeringENGR - School of Engineering
Course Description
A fast-moving, one-unit seminar. Each week a front-line operator from across the stack (Semiconductors, LLMs, Infrastructure, or Applications) delivers a 30-minute talk followed by 20 minutes of student Q&A and 20 minutes of in-class discussion. Short pre-reads and a brief web reflection after every session let you connect the guest's story to an economic lens. By the end you build mental models about the AI Supercycle, where profits really pool across chips, cloud, models, and applications, and why. No engineering or finance background is required; curiosity and debate are recommended.
Grading Basis
RSN - Satisfactory/No Credit
Min
1
Max
1
Course Repeatable for Degree Credit?
No
Course Component
Seminar
Enrollment Optional?
No
Programs
MS&E435 is a completion requirement for:
- (from the following course set: )
- (from the following course set: )