ISE 490 Data-Mining and Applied Machine Learning

This course will use tools and techniques which have proven to be of value in recognizing patterns, making predictions and supporting the decision making process based on data. Using these tools and techniques, the student will develop applications, and have hands-on experimentation with data/text mining, applied machine learning and network construction, using real-world examples and situations.

Credits

3

Prerequisite

(EM/ISE 224 OR SSW 315) AND (EM 365 OR ENGR 241)

Distribution

Engineering Management Program

Typically Offered Periods

Spring Semester