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Credits
3.00
Instructor(s)

Computational data analysis, application of statistical and machine learning methods in the physical sciences, consideration on epistemology and scientific ethics. Project-based. Highly recommend completion of CISC 106, MATH 205 or 241, PHYS207, familiarity with linear algebra prior to enrollment.