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CS 412

Intro to Machine Learning

Computer Science

3 credit hoursUsually offered: Fall, Spring
Avg GPA
2.42
Easiness
1.30
Total regs
976

Grade Distribution

Spring 2022–Summer 2026 · Percentages use A–F and W outcomes

Avg GPA
2.42
A
43.4%
356
B
28.8%
236
C
11.8%
97
D
4.6%
38
F
3.0%
25
W
8.3%
68
A–F + W
820
Other outcomes
156
All registrations
976

Quick Insights

Avg GPA
2.42
Easiness
1.30
C or better
91.6%
Among A–F outcomes
D or better
96.7%
Among A–F outcomes
Withdrawal rate
8.3%
Among A–F and W outcomes
Most common grade
A
Letter grades only
Outcomes counted
820
A–F and W outcomes

CS 412 by Professor

Ranked by historical GPA for 2024SP–2026SP · A–F outcomes only · minimum 20 graded outcomes

#1
Zhang, Xinhua
3.75
RMP
4.8
13 reviews
Graded
73
Total regs
73
#2
Chen, Hao
3.34
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Zhang, Xinhua

Top GPA signal with 73 grades.

Avg GPA 3.75Open profile →
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Methodology
RMP
NR
Graded
50
Total regs
54
#3
Tang, Wei
3.31
RMP
4.1
13 reviews
Graded
86
Total regs
89
#4
Rooshenas, Amirmohammad
2.83
RMP
NR
Graded
72
Total regs
75
#5
Rooshenas, Pedram
2.67
RMP
NR
Graded
45
Total regs
49
#6
Saha, Aadirupa
2.53
RMP
1.0
8 reviews
Graded
43
Total regs
61
#
Professor
Avg GPA
Student rating
Graded
Total regs
  • 1
    Zhang, Xinhua
    3.75
    4.8 (13)
    73
    73
  • 2
    Chen, Hao
    3.34
    NR
    50
    54
  • 3
    Tang, Wei
    3.31
    4.1 (13)
    86
    89
  • 4
    Rooshenas, Amirmohammad
    2.83
    NR
    72
    75
  • 5
    Rooshenas, Pedram
    2.67
    NR
    45
    49
  • 6
    Saha, Aadirupa
    2.53
    1.0 (8)
    43
    61