Introduction to modeling and simulation for systems engineers. Topics include problem formulation, conceptual modeling, simulation methodologies, verification and validation, DOE, simulation execution, and output analysis.

Special topics in Industrial and Systems Engineering.

This course provides academic credit for independent thesis research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program.

A variety of topics such as functional data analysis, image processing, multilinear algebra and tensor analysis, and regularization in high-dimensional regression.

Students learn core concepts and techniques for economic decision and analysis of complex capital investment problems that involve dimensions of time, uncertainty and strategy.