ADAN 7800 Foundations of Generative AI: Techniques, Tools, and Applications
This course provides a comprehensive introduction to the foundations of Generative AI (GenAI) with a focus on its applications in analytics, data science, and related fields. Students will gain both theoretical knowledge and practical skills in GenAI techniques, tools, and applications. The course covers the underlying principles of GenAI, its current capabilities and limitations, and its potential impact on various analytical domains.
Course overview
- Department
- Advancing Studies
- School
- ADV
- Credits
- 3
- Level
- Graduate
- Offered
- Periodically
Course evaluations
- Course rating
- 4.15 / 5 · Very Good
- Instructor rating
- 4.15 / 5 · Very Good
- Terms evaluated
- 3
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Gary Arora | 3.6 | 3.7 | 3.9 | 3.9 | 4.2 | 3.9 | 3.9 | 4.0 | 4–6 hrs/week | 7 of 8 |
| Fall 2025 (midterm) | Gary Arora | 4.7 | 4.7 | 5.0 | 5.0 | 4.7 | 4.7 | 4.7 | 5.0 | 7–9 hrs/week | 3 of 5 |
| Summer 2025 | Gary Arora | 5.0 | 5.0 | 5.0 | 5.0 | 4.5 | 5.0 | 5.0 | — | — | 2 of 2 |
| Spring 2025 (midterm) | Gary Arora | 4.3 | 4.1 | 4.4 | 4.3 | 4.1 | 4.3 | 4.3 | 3.8 | 4–6 hrs/week | 8 of 17 |