Course record COMPSCI

COMPSCI 273A

Machine Learning

University of California-Irvine

1,354 grades15 sections5 professors
Grades: 2015–2025
Flunk Score67/100
Strong

Professors 5 of 5

S. Mandt 242 grades · 3 terms · 2019–2022 3.87GPA
94.2% A
5.8% B
0.0% C
0.0% D
0.0% F

242 letter grades · 3 sections · 2019–2022

Compare with the course
Mandt vs. the course average
A +13.3
B −12.2
C −0.5
D −0.1
F −0.4

Difference in percentage points.

0.0% withdrew · 0 of 242 enrolled.

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S. Singh 262 grades · 2 terms · 2017–2018 3.75GPA
81.3% A
18.7% B
0.0% C
0.0% D
0.0% F

262 letter grades · 2 sections · 2017–2018

Compare with the course
Singh vs. the course average
A +0.4
B +0.7
C −0.5
D −0.1
F −0.4

Difference in percentage points.

0.0% withdrew · 0 of 262 enrolled.

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A. Ihler 710 grades · 8 terms · 2015–2025 3.73GPA
80.3% A
18.6% B
0.3% C
0.1% D
0.7% F

710 letter grades · 8 sections · 2015–2025

Compare with the course
Ihler vs. the course average
A −0.7
B +0.6
C −0.2
D same
F +0.3

Difference in percentage points.

Each term against the course average
Winter 2015Fall 2025

0.3% withdrew · 2 of 712 enrolled.

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R. Fox 76 grades · 1 term · 2021 3.70GPA
72.4% A
27.6% B
0.0% C
0.0% D
0.0% F

76 letter grades · 1 section · 2021

Compare with the course
Fox vs. the course average
A −8.6
B +9.6
C −0.5
D −0.1
F −0.4

Difference in percentage points.

0.0% withdrew · 0 of 76 enrolled.

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E. Mjolsness 64 grades · 1 term · 2015 3.31GPA
46.9% A
43.8% B
7.8% C
1.6% D
0.0% F

64 letter grades · 1 section · 2015

Compare with the course
Mjolsness vs. the course average
A −34.1
B +25.7
C +7.3
D +1.4
F −0.4

Difference in percentage points.

0.0% withdrew · 0 of 64 enrolled.

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