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.
5100. Fundamental Skills for Data Science
3.00 credits
Prerequisites: Open only to students in the Data Science M.S. program.
Grading Basis: Graded
Establishes background knowledge in Python and R programming, multivariate calculus and linear algebra, and basic statistics to prepare incoming students for success in the core courses in the M.S. in Data Science Program.
Last Refreshed: 26-APR-24 05.20.16.357506 AM
Term | Class Number | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Enrollment | Location | Credits | Grading Basis | Notes | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1243 13632 1 001 | Spring 2024 | 13632 | Storrs | Online Asynchronous | Johnson, Joseph Ravishanker, Nalini Anantharaman, Sreeram |
001 | Reg | 21/45 | No Room Required - Online | 3.00 | Graded | For MS Data Science students only. Others by instructor consent. | |
1248 11103 1 002 | Fall 2024 | 11103 | Storrs | Online Asynchronous | Johnson, Joseph Ravishanker, Nalini |
002 | Reg | 0/30 | No Room Required - Online | 3.00 | Graded | For MS Data Science Students only. Others by instructor consent. | |
1248 11104 1 003 | Fall 2024 | 11104 | Storrs | In Person | Teitelbaum, Jeremy | 003 | Reg | WeFr 9:05am‑12:05pm We 9:05am‑12:05pm |
1/45 | STRS 011 STRS 011 |
3.00 | Graded | For MS DS students only. Others by instructor consent. |