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.
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