EM 489 Data-Mining & Risk Assessment

This course will use tools and techniques which have proven to be of value in recognizing patterns, making predictions, and evaluation risk from both large data sets (using data-mining techniques), and small data sets (using networks constructed from problem definition and discovery). Both approaches are critical to today’s engineers and managers, because they span a range of possible data availability and reliability. Using these tools and techniques, the student will survey applications, and have hands-on experimentation with both data mining and network construction, using real-world examples and situations.

Credits

3

Prerequisite

EM 224 AND EM 365

Distribution

Engineering Management Program

Offered

Fall Semester