CMSC498V

Selected Topics in Computer Science; Advanced Topics in Machine Learning

Reviews for this courseTestudo

Prerequisites: Minimum grade of C- in CMSC422 or CMSC498M; permission of CMNS-Computer Science department and instructor.

Sister Courses: CMSC498A, CMSC498B, CMSC498C, CMSC498D, CMSC498E, CMSC498F, CMSC498G, CMSC498I, CMSC498J, CMSC498K, CMSC498L, CMSC498N, CMSC498O, CMSC498P, CMSC498Q, CMSC498R, CMSC498T, CMSC498W, CMSC498X, CMSC498Y, CMSC498Z

Past Semesters

Marshini Chetty

0 reviews
Average rating: N/A

Furong Huang

0 reviews
Average rating: N/A

Niki Vazou

1 review
Average rating: 2.00

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 3.52 between 59 students*

CMSC498V Grade Distribution+-051015202530354045505560657075% of studentsABCDFWother
A-: 11.86%
A: 35.59%
A+: 25.42%
B: 3.39%
B+: 15.25%
C: 1.69%
W: 6.78%
* "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.