MAT SCI 221 / GOORSKY, MARK S

Science of Electronic Materials

How MAT SCI 221 grades when GOORSKY, MARK S teaches it. MAT SCI 221, every instructor GOORSKY, MARK S, every course

Grades, this instructor

3.47adjusted historical GPA, this instructor

40 letter grades across 2 terms, Fall 2022 to Fall 2024. The course pools every instructor at 3.67 over 134 letter grades.

Raw average: 3.39; The mean of this instructor's recorded letter grades in this course.
In the A range: 52.5%; A+, A and A minus out of 40 letter grades.
D, F or W: 2.5%; 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%
A16 / 40%
A-5 / 12.5%
B+9 / 22.5%
B6 / 15%
B-0 / 0%
C+0 / 0%
C1 / 2.5%
C-2 / 5%
D+0 / 0%
D0 / 0%
D-0 / 0%
F1 / 2.5%

Percentages are of the 40 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, 3.67.

One recorded instructorCo-taught, grades shared

Fall 20223.2618 letter grades.

Fall 20243.5022 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

Section

Lec 80

Time TBA

Seats

Open

19 seats left.

16 of 35 enrolled

Seat risk

medium risk

An estimate, separate from the seat reading.

Read October 16, 2026 at 2:42 PM PDT. Seat counts can change before you enroll.

Every MAT SCI 221 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 GOORSKY, MARK S in MAT SCI 221