CMSC734

Information Visualization

Prerequisite: CMSC434; or students who have taken courses with comparable content may contact the department; or permission of instructor. Information visualization defined in relation to graphics, scientific visualization, databases, data mining, and human-computer interaction. Visualizations for dimensional, temporal, hierarchical and network data. Examines design alternatives, algorithms and data structures, coordinated views, and human factors evaluations of efficacy.

Spring 2026

4 reviews
Average rating: 3.00

Spring 2025

4 reviews
Average rating: 3.00

Past Semesters

4 reviews
Average rating: 3.00

4 reviews
Average rating: 3.00

4 reviews
Average rating: 3.00

0 reviews
Average rating: N/A

During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.65 between 256 students*

CMSC734 Grade Distribution+-051015202530354045505560657075% of studentsABCDFWother
A-: 8.59%
A: 55.08%
A+: 9.38%
B-: 3.13%
B: 13.28%
B+: 3.13%
F: 0.39%
W: 2.34%
other: 4.69%
* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.