CMSC498L

Selected Topics in Computer Science; Introduction to Deep Learning

Prerequisite: Minimum grade of C- in CMSC330 and CMSC351; and 1 course with a minimum grade of C- from (MATH240, MATH461); and permission of CMNS-Computer Science department. Or must be in (Computer Science (Doctoral), ComputerScience (Master's) program.

Sister Courses: CMSC498A, CMSC498B, CMSC498C, CMSC498D, CMSC498E, CMSC498F, CMSC498G, CMSC498I, CMSC498J, CMSC498K, CMSC498N, CMSC498O, CMSC498P, CMSC498Q, CMSC498R, CMSC498T, CMSC498V, CMSC498W, CMSC498X, CMSC498Y, CMSC498Z

Past Semesters

Abhinav Shrivastava

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Average rating: N/A

Include P/F semesters 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 3.15 between 60 students*

A-: 21.67%

A: 26.67%

A+: 6.67%

B-: 3.33%

B: 13.33%

B+: 6.67%

C-: 3.33%

C: 6.67%

C+: 5%

F: 5%

W: 1.67%

* "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.