YANG, LIN
554 letter grades across 4 courses
- Average awarded
- 3.63
- weighted by students, not by course
- Students graded
- 554
- Courses
- 4
Teaching in Fall 2026
- EC ENGR 299 MS Project Seminar Sem 46 Open
- EC ENGR 296 Seminar: Research Topics in Electrical Engineering Sem 48 Open
- EC ENGR 599 Research for and Preparation of PhD Dissertation Tut 51 Open
- EC ENGR 597B Preparation for PhD Preliminary Examinations Tut 52 Open
- EC ENGR 598 Research for and Preparation of MS Thesis Tut 52 Open
- EC ENGR 596 Directed Individual or Tutorial Studies Tut 52 Open
- EC ENGR 597C Preparation for PhD Oral Qualifying Examination Tut 52 Open
- EC ENGR 597A Preparation for MS Comprehensive Examination Tut 52 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| EC ENGR 205A Matrix Analysis for Scientists and Engineers | 3.67 | 3.67 | 210 | 2 | 71% |
| EC ENGR 133A Applied Numerical Computing | 3.44 | 3.46 | 190 | 4 | 61% |
| EC ENGR 241A Stochastic Processes | 3.69 | 3.69 | 84 | 3 | 76% |
| EC ENGR 239AS Special Topics in Signals and Systems: Lecture 1 | 3.93 | 3.93 | 70 | 3 | 94% |
| EC ENGR 297 Seminar Series: Electrical Engineering: Seminar 1 | P/NP | 0 · small sample | 1 | - | |
| EC ENGR 597A Preparation for MS Comprehensive Examination | S/U | 0 · small sample | 4 | - |
“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.