CMSC644

Algorithms for Data Science

Provides an in-depth understanding of some of the key data structures and algorithms essential for advanced data science. Topics include random sampling, graph algorithms, network science, data streams, and optimization.

Past Semesters

Hector Corrada Bravo

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Samir Khuller

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Olivera Kotevska

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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 3.31 between 28 students*

A-: 10.71%

A: 21.43%

A+: 21.43%

B: 28.57%

C: 7.14%

C+: 3.57%

W: 3.57%

other: 3.57%

* "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.