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MCS 360

Intro To Data Structure

Math, Statistics, & Comp Scnc

4 credit hoursUsually offered: Fall, Spring
Avg GPA
2.06
Easiness
1.00
Total regs
226

Grade Distribution

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

Avg GPA
2.06
A
19.0%
43
B
21.2%
48
C
28.3%
64
D
9.3%
21
F
11.5%
26
W
10.6%
24
A–F + W
226
Other outcomes
0
All registrations
226

Quick Insights

Avg GPA
2.06
Easiness
1.00
C or better
76.7%
Among A–F outcomes
D or better
87.1%
Among A–F outcomes
Withdrawal rate
10.6%
Among A–F and W outcomes
Most common grade
C
Letter grades only
Outcomes counted
226
A–F and W outcomes

MCS 360 by Professor

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

#1
Adrovic, Danko
2.46
RMP
3.9
38 reviews
Graded
102
Total regs
112
#
Professor
Avg GPA
Student rating
Graded
Total regs
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Adrovic, Danko

Top GPA signal with 102 grades.

Avg GPA 2.46Open profile →
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About This Class

Pointers and dynamic memory allocation in C/C++, recursion, stacks, queues, heaps, binary and multiway trees, graphs, hash tables. Sorting and searching algorithms. Course Information: Prerequisite(s): Grade of C or better in MCS 160 or Grade of C or better in MCS 260; and Grade of C or better in MCS 275 . Class Schedule Information: To be properly registered, students must enroll in one Discussion/Recitation and one Lecture.

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Methodology
1
Adrovic, Danko
2.46
3.9 (38)
102
112