Schedule of Classes

Full-time cooperative education assignment for manufacturing engineering and industrial engineering students who alternate periods of full-time school with periods of full-time academic or career-related work in industry. Satisfactory/Unsatisfactory.

Engineering data collection and analysis; discrete and continuous probability models; confidence intervals; tests of hypotheses; regression analysis; essentials of statistically designed experiments; engineering application of statistical methods. Extensive use of statistical computer software.

Theoretical background of descriptive, predictive and prescriptive analytics methods and their applications to engineering. Various artificial intelligence techniques for data mining and expert system design and implementation. Computing foundations for data management and data analytics. Applications to Production Planning and Control and Inventory Management. Cross-listed with IME 568.

Theoretical background of descriptive, predictive and prescriptive analytics methods and their applications to engineering. Various artificial intelligence techniques for data mining and expert system design and implementation. Computing foundations for data management and data analytics. Applications to Production Planning and Control and Inventory Management. Cross-listed with IME 468.

Research project or professional problem to be selected by student and advisor. May be repeated to a maximum of 3 hours credit. Beyond initial enrollment the student must register for 0 hours.