CHENG, GUANG
594 letter grades across 7 courses
- Average awarded
- 3.45
- weighted by students, not by course
- Students graded
- 594
- Courses
- 7
Teaching in Fall 2026
- STATS C261 Introduction to Machine Learning and Artificial Intelligence Lec 1 Closed
- STATS C161 Introduction to Machine Learning and Artificial Intelligence Lec 1 Closed
- STATS 596 Directed Individual Study or Research Tut 2 Open
- STATS 598 MS Thesis Research Tut 2 Open
- STATS 296 Participating Seminar: Statistics Sem 2 Open
- STATS 599 PhD Dissertation Research Tut 2 Open
- STATS 414 From Predictive Artificial Intelligence to Generative Artificial Intelligence Lec 80 Open
- STATS 496 Statistics Internship Tut 84 Closed by the department
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| STATS 100A Introduction to Probability | 3.30 | 3.28 | 342 | 3 | 41% |
| ECON 425T Machine Learning for Economists | 3.46 | 3.44 | 117 | 1 | 34% |
| STATS 400 Introduction to Probability Modeling | 3.90 | 3.90 | 69 | 2 | 90% |
| STATS 414 From Predictive Artificial Intelligence to Generative Artificial Intelligence | 3.70 | 3.71 | 29 | 1 | 83% |
| STATS C263 Generative Data Science | 3.80 | 3.86 | 17 · small sample | 1 | 88% |
| STATS C161 Introduction to Machine Learning and Artificial Intelligence | 3.92 | 4.00 | 13 · small sample | 1 | 100% |
| STATS C163 Generative Data Science | 3.72 | 3.86 | 7 · small sample | 1 | 86% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department, so a course taught once to twelve students sits near the course mean rather than at whatever those twelve happened to get.