CMSC828Z

Advanced Topics in Information Processing; Just Machine Learning

Reviews for this courseTestudo

Data-driven systems are increasingly deployed in settings that directly or indirectly people's rights, lives, and well-being. This raises urgent needs to understand how such models lead to more, or less, justice in the world. This course introduces a range of notions around justice, rights, and equity, as well as their computation implementations in machine learning systems. Students are welcome who have backgrounds in machine learning, or in ethics and justice, or both.

Sister Courses: CMSC828A, CMSC828B, CMSC828C, CMSC828D, CMSC828E, CMSC828F, CMSC828G, CMSC828I, CMSC828J, CMSC828K, CMSC828L, CMSC828M, CMSC828N, CMSC828O, CMSC828P, CMSC828Q, CMSC828R, CMSC828T, CMSC828U, CMSC828V, CMSC828W, CMSC828X, CMSC828Y

Past Semesters

Hal Daume

0 reviews
Average rating: N/A

Petra Galuscakova

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 3.59 between 49 students*

CMSC828Z Grade Distribution+-05101520253035404550556065707580% of studentsABCDFWother
A-: 4.08%
A: 42.86%
A+: 30.61%
B: 2.04%
W: 8.16%
other: 12.24%
* "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.