CMSC454

Algorithms for Data Science

Reviews for this course Testudo

Prerequisite: Minimum grade of C- in CMSC320, CMSC330, and CMSC351. Restriction: Permission of CMSC-Computer Science department. Credit only granted for: CMSC454 or CMSC498U. Formerly: CMSC498U. Fundamental methods for processing a high volume of data. Methods include stream processing, locally sensitive hashing, web search methods, page rank computation, network and link analysis, dynamic graph algorithms as well as methods to handle high dimensional data/dimensionality reduction.

Spring 2024

Clyde Kruskal

87 reviews
Average rating: 2.86

Fall 2023

Aravind Srinivasan

13 reviews
Average rating: 3.69

Past Semesters

David Harris

0 reviews
Average rating: N/A

Aravind Srinivasan

13 reviews
Average rating: 3.69

Aravind Srinivasan

13 reviews
Average rating: 3.69

Clyde Kruskal

87 reviews
Average rating: 2.86

* "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.