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2600. Introduction to Data Science and Engineering
3.00 credits
Prerequisites: CSE 2050. Not open for credit to students who have passed CSE 4095 when offered as “Introduction to Data Science and Engineering.”
Grading Basis: Graded
Introduction to a broad selection of challenges and methodologies in working with big data. Topics to be covered include fundamental data science lifecycle topics such as data acquisition, management, integration, visualization, modeling, analysis, prediction, as well as data security, data privacy and ethics.
Last Refreshed: 26-APR-24 05.20.16.357506 AM
Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
---|---|---|---|---|---|---|---|---|---|---|
1248 4926 1 001 | Fall 2024 | Storrs | In Person | Lamoureux, Matthew | 001 | Reg | MoWeFr 9:05am‑9:55am |
MCHU 205 | 40/60 |