CMSC389V

Special Topics in Computer Science; Ethics of Artificial Intelligence and Machine Learning

Reviews for this courseTestudo

Prerequisites: Minimum grade of C- in CMSC250 and CMSC216.

Sister Courses: CMSC389A, CMSC389B, CMSC389C, CMSC389E, CMSC389F, CMSC389G, CMSC389I, CMSC389J, CMSC389K, CMSC389L, CMSC389M, CMSC389N, CMSC389O, CMSC389P, CMSC389Q, CMSC389R, CMSC389T, CMSC389U, CMSC389W, CMSC389X, CMSC389Y, CMSC389Z

Past Semesters

John Dickerson

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 3.90 between 33 students*

CMSC389V Grade Distribution+-051015202530354045505560657075808590% of studentsABCDFWother
A-: 9.09%
A: 24.24%
A+: 54.55%
B: 3.03%
B+: 6.06%
other: 3.03%
* "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.