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*
* "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.