CS 332 - Data Mining

5 CR

This data mining course equips students with skills in uncovering insights from large datasets through preprocessing, pattern discovery, and algorithm evaluation, emphasizing ethical practices and cutting-edge applications in big data.

Prerequisite(s): CS 331 with C or above.

Course Outcomes

Explain the core principles, concepts, and techniques involved in data mining, including classification, clustering, association analysis, and pattern discovery.
Apply various data preprocessing techniques such as data cleaning, transformation, and reduction to prepare datasets for mining.
Analyze datasets to uncover complex patterns and relationships using data mining algorithms.
Assess the effectiveness of different data mining algorithms and select the most appropriate one for a given problem.
Design and implement complete data mining processes, from data preparation to result interpretation, that address real-world problems.
Critically evaluate ethical and legal issues related to data privacy and usage in the context of data mining.

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