2.S992: Teaching and Learning Mechanical Engineering with Generative AI

Spring | 12 Units | Graduate (UG can particpate with permission of instructor) | Prerequsites: an undergraduate degree in Mechanical Engineering; proficiency in Matlab or Python.

Large Language Model (LLM) capabilities and environments. Use of GPT-4 in Mechanical Engineering: development of effective system and interactive prompts; critical assessment of GPT-generated results. Application of GPT to teaching and learning: solid mechanics, heat transfer, dynamics, and mechanical design. GPT user models: teacher and student roles. GPT for coding. GPT as database. GPT for image processing. GPT for symbolic computation. GPT for natural language interfaces. GPT for problem-solving en- vironments. GPT as test student. GPT as tutor. Projects requiring Matlab or Python programming within GPT-4 API and Chat contexts. Enrollment limited to 15 students.