The tool below allows you to quickly read as many or as few of the evaluations that the students in my classes have given. In the interest of fairness, both positive and negative comments will be shown. There's a caveat though — I have classified the comments using the GPT-3 model by OpenAI and it can make mistakes!
All comments are real student comments, anonymized for presentation here.
Note: You might need to wait a few seconds or click twice for the free tier of Azure to kick up enough bits of information for the first two comments to show up. If you see an error, use the IT department trick: reload and try again (preferably, Ctrl+Shift+R to reload with fresh cache for this website).
A summary of my teaching experience.
Course | Department | Enrollment | Staff | Products |
---|---|---|---|---|
Spring 2024: Introduction to Problem Solving (syllabus) | Electrical Engineering, UC Merced | 40 UG | 2 UG readers | Hands-on engineering education |
Fall 2023: Engineering Computing (syllabus) | Mechanical Engineering, UC Merced | 207 UG | 3 Grad TAs, 1 UG reader | Scalable active learning in engineering. |
Fall 2023: Introduction to Computing (syllabus) | Computer Science and Engineering, UC Merced | 57 UG | 1 Grad TA | Active learning in Intro Python. |
Spring 2022: Introduction to Biological System Design (syllabus) | Engineering, Harvey Mudd College | 7 UG | None | Interactive notebooks for active learning. |
Spring 2020: Open-Source Tools for Biological Circuit Design (syllabus) | Biological Engineering, Caltech | 5 UG, 15 Grad | I was one of four instructors | Open-source tools for teaching: BioCRNpyler, Bioscrape, and AutoReduce. |
Last update: Mar 17, 2024.