DOLECEK, LARA
1,512 letter grades across 4 courses
- Average awarded
- 3.66
- weighted by students, not by course
- Students graded
- 1,512
- Courses
- 4
Teaching in Fall 2026
- EC ENGR 296 Seminar: Research Topics in Electrical Engineering Sem 11 Open
- EC ENGR 299 MS Project Seminar Sem 13 Open
- EC ENGR 599 Research for and Preparation of PhD Dissertation Tut 16 Open
- EC ENGR 597B Preparation for PhD Preliminary Examinations Tut 17 Open
- EC ENGR 596 Directed Individual or Tutorial Studies Tut 17 Open
- EC ENGR 598 Research for and Preparation of MS Thesis Tut 17 Open
- EC ENGR 597A Preparation for MS Comprehensive Examination Tut 17 Open
- EC ENGR 597C Preparation for PhD Oral Qualifying Examination Tut 17 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| EC ENGR 131A Probability and Statistics | 3.47 | 3.47 | 653 | 9 | 62% |
| EC ENGR M148 Introduction to Data Science | 3.86 | 3.86 | 596 | 4 | 90% |
| EC ENGR 205A Matrix Analysis for Scientists and Engineers | 3.64 | 3.64 | 247 | 2 | 72% |
| EC ENGR 235A Mathematical Foundations of Data Storage Systems | 3.90 | 4.00 | 16 · small sample | 1 | 100% |
“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.