Computer Science 514 - Algorithms for Data Science

Mathematical and algorithmic foundations of big data processing. Study of methods for sampling, sketching, and distributed processing of large scale databases, graphs, and data streams for purposes of scalable statistical description, querying, pattern mining, and learning.

Open to junior and senior COMPSCI students who have completed COMPSCI 240 (or STATISTCS 515) and COMPSCI 311 with a grade of B+ or better in both, OR COMPSCI 240, STATISTCS 515, COMPSCI 311, Math 233, and Math 235 with a grade of C or better in each. LEC 01 FOR UNDERGRADS; LEC 02 FOR GRADS. SEATS HELD IN LEC 02 FOR INCOMING GRAD STUDENT REGISTRATION. STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cics.umass.edu/academics/course-overrides