INSE 3245U – Industrial Data Analytics

This course introduces the different techniques of data gathering, description, and analysis. The students will use advanced statistical tools to make decisions on operations, risk management, finance, marketing of industrial systems. Analysis is done targeting economic and financial decisions in complex systems that involve multiple partners. Topics include probability, statistics, hypothesis testing, selection and shrinkage methods for regression, linear discriminant approaches for classification, data clustering, decision trees, industrial forecasting, and data anomalies…etc.
Credit hours: 3
Lecture hours: 3
Tutorial hours: 1
Prerequisite(s): STAT 2800U and SOFE 2710U and ENGR 3150U and INSE 3140U