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MCS 275

Programming Tools

Math, Statistics, & Comp Scnc

4 credit hoursUsually offered: Fall, Spring
Avg GPA
2.90
Easiness
2.40
Total regs
338

Grade Distribution

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

Avg GPA
2.90
A
42.0%
142
B
26.9%
91
C
19.2%
65
D
2.4%
8
F
3.8%
13
W
5.6%
19
A–F + W
338
Other outcomes
0
All registrations
338

Quick Insights

Avg GPA
2.90
Easiness
2.40
C or better
93.4%
Among A–F outcomes
D or better
95.9%
Among A–F outcomes
Withdrawal rate
5.6%
Among A–F and W outcomes
Most common grade
A
Letter grades only
Outcomes counted
338
A–F and W outcomes

MCS 275 by Professor

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

#1
Steenbergen, John
3.15
RMP
4.7
73 reviews
Graded
39
Total regs
41
#2
Dumas, Emily Claire
3.13
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Steenbergen, John

Top GPA signal with 39 grades.

Avg GPA 3.15Open profile →
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About This Class

Theory, techniques, and tools of the Python programming language, with applications to data structures, algorithms, web programming, and selected topics. Course Information: Prerequisite(s): Grade of C or better in MATH 180 , and grade of C or better in MCS 160 or MCS 260 or CS 107 or CS 109 or CS 111 or equivalent. Class Schedule Information: To be properly registered, students must enroll in one Laboratory and one Lecture. IAI Major CS course .

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Methodology
RMP
NR
Graded
47
Total regs
50
#3
Adrovic, Danko
2.87
RMP
3.9
38 reviews
Graded
91
Total regs
97
#
Professor
Avg GPA
Student rating
Graded
Total regs
  • 1
    Steenbergen, John
    3.15
    4.7 (73)
    39
    41
  • 2
    Dumas, Emily Claire
    3.13
    NR
    47
    50
  • 3
    Adrovic, Danko
    2.87
    3.9 (38)
    91
    97
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