The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.
Prerequisites: Recommended preparation: MATH 5670.
Grading Basis: Graded
Data structures and algorithms; regression; classification; clustering; recommender systems; anomaly detection; Big Data tools; databases.
Last Refreshed: 03-DEC-21 05.20.11.392052 AM
|Term||Class Number||Campus||Instruction Mode||Instructor||Section||Session||Schedule||Enrollment||Location||Credits||Grading Basis||Notes|
|1223 8019 1 001||Spring 2022||8019||Storrs||Online||Do, Cuong||001||Reg||12:00am‑12:00am
||12/30||No Room Required - Online||3.00||Graded|