ENRGYENV 894-301
AI Footprint
A topic section of ENRGYENV 894, Special Topics
Daniel Vermeer
Description from DukeHub
Permits the study of special topics in decision on an occasional basis depending on the availability and interests of students and faculty. This course is for Daytime MBA and Accelerated Daytime MBA students.
Skills
- ai and machine learningtitle: "ai"
AI-resilient: 1 of 5
- No: Physical, lab or field work
- No: Live work with people
- Yes: Judgment someone is accountable for · "decision"
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in ENRGYENV
- Edge Seminar Series 2 ENRGYENV 629
- Special Topics ENRGYENV 894E