CSCI3360 · Computer Science
Morrissey College of Arts & Sciences
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.
Course experience
Averages use the original five-point historical evaluation scale.
Organization
3.9 / 5
How well the course was organized
Challenge
4.4 / 5
How intellectually challenging students found it
Attendance
3.9 / 5
How necessary attendance was
Assignments
4.2 / 5
How helpful assignments were
Weekly effort
~5
hours per week
Estimated from the original workload response buckets. Individual sections may differ.
Instructor options
Ratings below reflect only recovered evaluations connected to this course.
Across time
Section-level results available in the recovered archive.
Fall 2024
1 section