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MCS 360

Intro To Data Structure

Math, Statistics, & Comp Scnc

4 credit hoursUsually offered: Fall, Spring
Avg GPA
2.01
Easiness
1.00
Total regs
206

Grade Distribution

Based on all available term-level grade data for this course

Avg GPA
2.01
A
18.0%
37
B
20.4%
42
C
29.1%
60
D
9.7%
20
F
11.7%
24
W
11.2%
23
Visual total
206
Other
0
Total regs
206

Quick Insights

Avg GPA
2.01
Easiness
1.00
Pass rate
77.2%
Using A, B, C, D as passing
Withdrawal rate
11.2%
Based on visible distribution
Most common grade
C
Students counted
206
A through F plus W

MCS 360 by Professor

Ranked highest to lowest GPA — using A, B, C, D, and F outcomes only

#1
Adrovic, Danko
2.41
RMP
3.9
Graded
83
Total regs
92
#
Professor
Avg GPA
RMP
Graded
Total regs
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Adrovic, Danko

Top GPA signal with 83 grades.

Avg GPA 2.41Open 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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1
Adrovic, Danko
2.41
3.9
83
92
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