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STATS 202B / MICHAILIDIS, GEORGE

Matrix Algebra and Optimization

How STATS 202B grades when MICHAILIDIS, GEORGE teaches it. STATS 202B, every instructor MICHAILIDIS, GEORGE, every course

Grades, this instructor

3.75adjusted historical GPA, this instructor

72 letter grades across 3 terms, Winter 2023 to Winter 2025. The course pools every instructor at 3.81 over 101 letter grades.

Raw average
3.74
The mean of this instructor's recorded letter grades in this course.
In the A range
86.1%
A+, A and A minus out of 72 letter grades.
D, F or W
2.8%
D-range and F grades plus withdrawals, divided by letter grades plus withdrawals.
Taken pass/no pass
0%
No pass/no-pass outcomes are recorded.

Grade distribution

  • A+4 / 5.6%
  • A41 / 56.9%
  • A-17 / 23.6%
  • B+8 / 11.1%
  • B0 / 0%
  • B-0 / 0%
  • C+0 / 0%
  • C0 / 0%
  • C-0 / 0%
  • D+0 / 0%
  • D0 / 0%
  • D-0 / 0%
  • F2 / 2.8%

Percentages are of the 72 letter grades. Grey bars are non-letter outcomes. They are excluded from GPA.

Term by term

Raw averages for the terms in this record. A missing term does not establish that this instructor did not teach it. Summer sessions are included when present.

3.203.604.003.7623W3.5024W3.9725W

Dashed line: course average across all instructors, 3.81.

One recorded instructorCo-taught, grades shared
Winter 20233.7630 letter grades.
Winter 20243.5022 letter grades.
Winter 20253.9720 letter grades.
Is one term a guide to the next?

Across the measured corpus, the same course and instructor's term averages were strongly correlated, including terms several years apart. That is why the adjustment does not weight recent terms more heavily. This is a dataset-wide pattern, not a promise about this instructor's next class.

Teaching it in Fall 2026

No confirmed sections are available here. The selected term may not have been fully read.

Every STATS 202B section and instructor

Reading these figures

Raw is the mean of the recorded letter grades. The adjusted historical GPA pulls an instructor's average toward the course's adjusted average, which itself uses a department prior. It is a comparison aid, not a calibrated prediction or a student rating. Small samples carry more uncertainty. All recorded instructor roles are included, and a section is counted only once for this instructor. Grades cannot establish workload or explain why outcomes differed.

What students say

dibs measures outcomes. For students' experiences of the class, BruinWalk has reviews.

No verified BruinWalk review page is linked to this instructor and course yet.