UIChicagoUIChicago
CoursesProfessors
My SchoolSparkyAI
UIChicagoUIChicago
CoursesProfessors
My SchoolSparkyAI
MCS 260

Intro To Computer Science

Math, Statistics, & Comp Scnc

Avg GPA
2.22
Easiness
1.00
Total regs
446

Grade Distribution

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

Avg GPA
2.22
A
31.5%
140
B
19.8%
88
C
16.4%
73
D
5.0%
22
F
9.2%
41
W
18.0%
80
Visual total
444
Other
2
Total regs
446

Quick Insights

Avg GPA
2.22
Easiness
1.00
Pass rate
72.7%
Using A, B, C, D as passing
Withdrawal rate
18.0%
Based on visible distribution
Most common grade
A
Students counted
444
A through F plus W

MCS 260 by Professor

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

#1
Adrovic, Danko
3.11
RMP
3.9
Graded
56
Total regs
62
#2
Shulman, Andrew M
3.10
Keep Exploring

Keep exploring

Compare a professor, browse nearby courses, or ask Sparky.

Best professor lead
Adrovic, Danko

Top GPA signal with 56 grades.

Avg GPA 3.11Open profile →
More from MCS
MCS 275
Programming Tools and File Management
MCS 320
Introduction to Symbolic Computation or Introduction to Data Structures
Decision shortcut
Ask Sparky about this class

Get a quick summary of difficulty, fit, and professor picks.

About This Class

No catalog description is available for this course yet.

UIChicago by Sparky Labs
Powered by real course, professor, and campus data
Read the methodology
uicratings@gmail.com
Student-built, unofficial, and transparent about sources
RMP
4.2
Graded
30
Total regs
32
#3
Stibitz, Charles
2.77
RMP
3.9
Graded
30
Total regs
33
#
Professor
Avg GPA
RMP
Graded
Total regs
  • 1
    Adrovic, Danko
    3.11
    3.9
    56
    62
  • 2
    Shulman, Andrew M
    3.10
    4.2
    30
    32
  • 3
    Stibitz, Charles
    2.77
    3.9
    30
    33
Ask Sparky →