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Oct 09, 2026
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DATA 301 Data Mining and Pattern Discovery
As an introductory course on data mining, this course provides theoretical and practical coverage of data mining topics and introduces the key concepts, principles, algorithms, and systems of data mining, including, but not limited to data warehousing and data preprocessing techniques, data mining techniques for classification, and evaluation of patterns mined from data. Major components of data classification, association and sequence analysis will be a focus. Credit(s): 3
Prerequisite(s): MATH 207 and CSC 121
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