CMSC498O

Selected Topics in Computer Science; Introduction to Data Visualization

Reviews for this courseTestudo

Prerequisite: Minimum gra de of C- in CMSC330 and CMSC351; and permission of CMNS-Computer Science department. Or must be in Computer Science (Doctoral), Computer Scienc e (Master's) program.

Sister Courses: CMSC498A, CMSC498B, CMSC498C, CMSC498D, CMSC498E, CMSC498F, CMSC498G, CMSC498I, CMSC498J, CMSC498K, CMSC498L, CMSC498N, CMSC498P, CMSC498Q, CMSC498R, CMSC498T, CMSC498V, CMSC498W, CMSC498X, CMSC498Y, CMSC498Z

Past Semesters

Leilani Battle

0 reviews
Average rating: N/A

Amol Deshpande

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 3.35 between 73 students*

CMSC498O Grade Distribution+-05101520253035404550556065% of studentsABCDFWother
A-: 31.51%
A: 24.66%
A+: 5.48%
B: 19.18%
B+: 4.11%
C: 4.11%
C+: 4.11%
W: 4.11%
other: 2.74%
* "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.