Program: MSIS/PhD
Course Areas
Data Science/Engineering/Analytics
Catalog Description
Develop prompts for text and image generation through an iterative cycle, making the most of foundation models, including large language models and diffusion models. Overview of the field of prompt engineering, including historical development, ethical dilemmas, and the creation of chatbots.
Prerequisites
Graduate Standing. Introductory-level familiarity with Python programming recommended.
Restrictions
Enrollment in Information Studies (INF) courses is restricted to graduate students in the School of Information through registration periods 1 and 2, with outside students only being accepted during period 3.
A limited number of seats may also be reserved for non-iSchool students participating in the Graduate Portfolio Program in Ethical AI. Eligible students are advised to contact the instructor for consideration.
Current and Upcoming Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
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| INF 385T: Special Topics in Information Science: Prompt Engineering
Michael Mcquaid Syllabus |
Fall Term 2025 |
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| INF 385T: Special Topics in Information Science: Prompt Engineering
Michael Mcquaid |
Spring Term 2026 |
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Past Classes for this Course
| Class Name | Semester | Day(s) | Start Time(s) | End Time(s) | Building | Room |
|---|---|---|---|---|---|---|
| INF 385T: Special Topics in Information Science: Prompt Engineering
Michael Mcquaid |
Spring Term 2025 |
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