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2255. Statistical Programming
3.00 credits
Prerequisites: MATH 1132Q, or instructor consent. Recommended preparation: CSE 1010 or prior programming experience. Not open to students who have passed CSE 2050 or 2500 or ECON 3322 or 5322.
Grading Basis: Graded
Introduction to statistical programming via Python including data types, control flow, object-oriented programming, and graphical user interface-driven applications such as Jupyter notebooks. Emphasis on algorithmic thinking, efficient implementation of different data structures, control and data abstraction, file processing, and data analysis and visualization.
Last Refreshed: 29-MAR-24 05.20.11.748914 AM
Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
---|---|---|---|---|---|---|---|---|---|---|
1243 5889 1 001 | Spring 2024 | Storrs | In Person | Liu, Jiarui You, Ran |
001 | Reg | TuTh 9:30am‑10:45am |
JONS 229 | 38/40 | |
1248 8787 1 001 | Fall 2024 | Storrs | In Person | Wang, HaiYing | 001 | Reg | TuTh 9:30am‑10:45am |
AUST 344 | 20/40 |