CSCI 3360 Human-AI Interaction
The recent surge in large-language model development has reached a tipping point, making AI increasingly useful in everyday life for a wide audience. This course will introduce fundamental concepts, ideas, and principles underlying human-AI interaction design. We will cover topics from human-computer interaction and machine learning literature, including cognitive load theory, mixed-initiative models, and key issues like fairness and inclusivity, explainability, and safety. Students will learn these topics via practical applications such as image/video recognition, prompt engineering, and programming assistants. They will carry out hands-on assignments and projects, ranging from producing AI-assisted media content and evaluating large-language models to building AI-driven interactive applications. Prerequisite: Web Application Development (or approval from the instructor or other upper-level development courses such as Software Engineering).
Course overview
- Department
- Computer Science
- School
- MCAS
- Credits
- 3
- Level
- Undergraduate
- Offered
- Periodically
Catalog details
Requirements fulfilled
- Computer Science B.A.: CSCI 2000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
- Computer Science B.A.: CSCI 3000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
- Computer Science B.S.: CSCI 3000-level-or-higher elective (Current University Catalog; students should confirm their catalog year)
- Mathematics B.S.: Natural science, computer science, or economics corequisites (Current University Catalog; students should confirm their catalog year)
Course evaluations
- Course rating
- 4.16 / 5 · Very Good
- Instructor rating
- 4.30 / 5 · Very Good
- Terms evaluated
- 2
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Nam Wook Kim | 4.5 | 4.9 | 4.7 | 4.7 | 4.2 | 4.5 | 4.7 | 4.2 | 1–3 hrs/week | 18 of 21 |
| Fall 2024 | Nam Wook Kim | 3.9 | 3.9 | 3.9 | 4.1 | 4.4 | 4.2 | 4.4 | 3.9 | 4–6 hrs/week | 27 of 33 |