Computational Optimization (Fall 2014)
The objective of this course is give students the skills, tools, and experience in 1) implementing a wide range of optimization algorithms, 2) using existing optimization software to solve problems, and 3) exposure to advanced software design techniques for High Performance Computing on parallel and multi-core architectures.
Engineering Statistics (IMSE 4110/7110)
Understanding and application of statistical analysis techniques. Emphasis on hypothesis testing, regression analysis, analysis of variance (ANOVA) and design of experiments (DOE).
Web-Based Information Systems (IMSE 4420/7420)
The objectives of the course are (i) to demonstrate to students the usefulness of web-based information technology systems arising in the practice of industrial and systems engineering; (ii) to illustrate to students the essential concepts in database design; (iii) to teach them popular database management systems; and (iv) to enable them to design, develop, and implement integrated web-based decision support systems for industrial and systems engineering applications using latest available IT tools.
Decision Support Systems for Engineers
The objectives of the course are (i) to demonstrate to students the usefulness of decision support systems arising in the practice of industrial and systems engineering; (ii) to enable them to design, develop, and implement integrated decision support systems for industrial and systems engineering applications; (iii) and to implement mixed integer and linear optimization models for decision making problems utilizing spreadsheets and optimization solvers.