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|EECE 2300 - Computational Methods for Data Analytics|
Introduces the programming tools, algorithms, and software tools used in data analytics. Offers hands-on experience working with statistical software/packages and scripting languages and shows students the power of computational tools. Covers concepts of correlation, regression analysis, classification, and decomposition. Includes example data-oriented applications taken from multiple science/engineering disciplines and applies linear algebra and probability to analyze actual data sets. Students not meeting course prerequisites may seek permission of instructor.
4.000 Credit hours
4.000 Lecture hours
Schedule Types: Lecture
Electrical and Comp Engineerng Department