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Read October 16, 2026 at 6:12 PM PDT. Seat counts can change before you enroll.
COM SCI 32 / HUANG, BRUCE KUOLONG
Introduction to Computer Science II
How COM SCI 32 grades when HUANG, BRUCE KUOLONG teaches it. COM SCI 32, every instructor HUANG, BRUCE KUOLONG, every course
Grades, this instructor
3.43adjusted historical GPA, this instructor
426 letter grades across 2 terms, Summer Session A 2025 to Fall 2025. The course pools every instructor at 3.17 over 4,116 letter grades.
- Raw average
- 3.44
- The mean of this instructor's recorded letter grades in this course.
- In the A range
- 65%
- A+, A and A minus out of 426 letter grades.
- D, F or W
- 4.2%
- 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+75 / 17.6%
- A126 / 29.6%
- A-76 / 17.8%
- B+38 / 8.9%
- B37 / 8.7%
- B-24 / 5.6%
- C+14 / 3.3%
- C16 / 3.8%
- C-2 / 0.5%
- D+6 / 1.4%
- D5 / 1.2%
- D-1 / 0.2%
- F6 / 1.4%
Percentages are of the 426 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.
Dashed line: course average across all instructors, 3.17.
One recorded instructorCo-taught, grades shared
Summer Session A 20253.50193 letter grades.
Fall 20253.40233 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
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.