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UVA SEAS Resources: Teaching GenAI for Engineering Design and Analysis

This collection compiles course materials developed by UVA School of Engineering and Applied Sciences faculty to teach students how to use generative AI for engineering design and analysis. Any examples of student work are shared with students' permission.

Course and Assignment Design
Jeff Saucerman headshot
Jeff Saucerman
Professor
Biomedical Engineering
Leyf Starling headshot
Leyf Starling
Lecturer
First-Year Engineering
Updated: February 2024
File

Analyzing ChatGPT-Proposed Solutions to Sustainability-Focused Problems

This resource summarizes an activity designed to actively engage first-year engineering students in (1) evaluating and analyzing the content ChatGPT generates and (2) discussing the role ChatGPT or other generative AI tools can or should play in various parts of the engineering design process.

Leyf Starling
File

Using Generative AI to Aid Computer Programming of Numerical Methods

This resource includes a lecture on using generative AI for programming in BME 2315: Computational Biomedical Engineering. It also includes the results of an anonymous evaluation for course improvement, related to how using generative AI affects coding performance and confidence.

Jeff Saucerman
File

Lecture Slides on the Technical Foundations for Generative AI

This lecture on Large Language Models from Dr. Jane (Yanjun) Qi's Spring 2024 graduate-level course, CS 6501: GenAI Risk and Benefits, explains the technical foundations for a growing range of GenAI technologies, including ChatGPT and image generation from DALL-E 3, stable diffusion, and latent diffusion models.

Jane (Yanjun) Qi

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