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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: 27-FEB-24 05.20.21.437592 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Campus Instruction Mode Instructor Section Session Schedule Location Enrollment Notes
Spring 2024 Storrs In Person Liu, Jiarui
You, Ran
001 Reg TuTh 9:30am‑10:45am
JONS 229 38/40
Fall 2024 Storrs In Person Wang, HaiYing 001 Reg TuTh 9:30am‑10:45am
AUST 344 0/40