INF 385T: Special Topics in Information Science: Prompt Engineering

Fall Term 2025
Mode: In-Person
Program: MSIS/PhD
Unique ID
30039
Day Start End Building Room
  • Tuesday
  • 3:30 pm
  • 6:30 pm
  • UTA
  • 1.208

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.