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MATH 134 / KASHEFI, ALI

Linear and Nonlinear Systems of Differential Equations

How MATH 134 grades when KASHEFI, ALI teaches it. MATH 134, every instructor KASHEFI, ALI, every course

Grades, this instructor

3.21adjusted historical GPA, this instructor

128 letter grades across 2 terms, Winter 2025 to Spring 2025. The course pools every instructor at 3.17 over 840 letter grades.

Raw average
3.22
The mean of this instructor's recorded letter grades in this course.
In the A range
57%
A+, A and A minus out of 128 letter grades.
D, F or W
10.2%
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+0 / 0%
  • A57 / 44.5%
  • A-16 / 12.5%
  • B+15 / 11.7%
  • B8 / 6.3%
  • B-6 / 4.7%
  • C+6 / 4.7%
  • C2 / 1.6%
  • C-5 / 3.9%
  • D+4 / 3.1%
  • D2 / 1.6%
  • D-2 / 1.6%
  • F5 / 3.9%

Percentages are of the 128 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.

2.603.203.803.4125W2.9925S

Dashed line: course average across all instructors, 3.17.

One recorded instructorCo-taught, grades shared
Winter 20253.4170 letter grades.
Spring 20252.9958 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 sections are confirmed under this instructor's record in the course listing dibs read for Fall 2026.

Every MATH 134 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.

Reviews for KASHEFI, ALI in MATH 134