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  • 3.00 Credits

    This course introduces students to current research in scheduling: scheduling of new systems, including those based on advanced manufacturing technology, and the use of new methods for analyzing scheduling problems, such as generalized networks, artificial intelligence, neural networks and complexity theory. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    Optimization techniques, with the primary emphasis on linear programming, and applications interspersed to illustrate the applicability of the optimization techniques. The majority of the course will be linear programming techniques, including the simplex-method and its variants, interior point algorithmsm and duality and sensitivity analysis. The other part of the course discusses model formulation with integer variables and develops the theory of computational methods of integer linear programming: cutting plane, branch-and-bound, and Lagrangian relaxation methods. 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    The theory and computational methods of nonlinear programming is the majority of the course, including convex analysis and unconstrained methods, Kuhn-Tucker theory, saddle points and duality. Algorithms discussed include one for quadratic programming, linearly constrained, nonlinearly constrained, penalty and barrier methods. (Prerequisite: MSC 560.) 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    The course covers Dynamic programming formulation of deterministic decision process problems, analytical and computational methods of solution, application to problems of equipment replacement, resource allocation, scheduling, search and routing. Introduction to decision making under risk and uncertainty. Prerequisite: MSC 562 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    The course gives a cross section on the production, distribution and retail stages along the supply chain. Emphasis is presented on the inventory needs at the various stages and the methods that are used in their control. A quantitative description on the tools and methods used are presented along with examples. The student become aware of the needs and techniques at the various stages across the supply chain. The course give the fundamentals on forecasting, order quantity, safety stock, replenishment, stock keeping units, production, reusable inventory, assembly, logistics, multiple locations, low demand items, initial order quantity, all time requirements, late delivery and lost sales. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law, Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    A survey of fundamentals of statistics and their applications for problem solving. Topics include probability, univariate and multivariate random variables, estimation, order statistics and reliability. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    This course covers methods of analysis and forecasting of time series, including smoothing and Box-Jenkins techniques, vector autoregression and innovation analysis, and introduces flexible models, including Markov switching models and nonparametric methods. The course will use the quantitative lab for short projects devoted to applications of these methods. 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    This course introduces students to theory, cases and current research in classic and new scheduling approaches. In addition to continuous scheduling systems found in manufacturing sector and in the service sector, finite life project scheduling topics are also covered. New evolutionary optimization solution approaches such as Genetic Programming, Tabu Search and Simulated Annealing are explained in detail. Complexity theory, as applied to the modeling and the solution of large scale optimization problems, is also covered. Student initiated scheduling scenarios that may lead to further research or dissertation topics are encouraged and sloved with the help of the professor. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law, Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 1.00 Credits

    This course will enable Ph.D. students to address overall issues of pedagogy as well as the development of personal classroom skills. The course covers curriculum development, sources of classroom materials and use of various teaching methods. 1. 000 Credit Hours 1. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law, Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
  • 3.00 Credits

    This course focuses on the intersection of Economics and Operations Management. In particular, we examine the influence of micro-economic theory, particularly game theory, on analytical OM research. Topics covered will include incentives, information sharing, competition and coordination in inventory and supply chain management. The course material will revolve around classic and recent publications in well-know journals. The course is a discussion-based course. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law, Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
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