ISE 133 - Data Mining and Analysis for Industrial Systems

3 unit(s)
An introduction to the concepts of data mining and analysis, together with practical tools for their execution. Understanding of the fundamental steps of data mining and analysis, such as data collection, data understanding, data preparation, model construction, model evaluation, and model deployment. Applications of data analysis methods on real datasets, to show how they can support problem solving in industrial systems.

Prerequisite(s): ISE 194 or instructor consent.
Grading: Letter Graded

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