Prerequisites: COMP 380/L or equivalent; MATH 340 or MATH 341 or equivalent. Recommended Preparatory: Knowledge of Python programming. A study of the concepts, theories, techniques, and applications of data mining. Topics include data collection, data exploration, data preprocessing, data warehousing, OLAP, data modeling, model evaluation and deployment. Various data mining modeling techniques such as frequent pattern mining and clustering methods are addressed. Students will apply data mining techniques to solve problems in different applications (such as healthcare, science, engineering, manufacturing, energy, transportation, agriculture, government, and education).

Fall-2024 - Schedule of Classes

COMP 541

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