List Of Classes

This course aims to provide the student with an analytical approach to the economic problems of planning and deploying human resources, materials, plus facilities and equipment to generate goods and/or services for the marketplace. Course emphasis will be on the application of the analytical tools to address critical issues related to strengthening the competitive position of the enterprise, such as: product or service design, process engineering and work systems design, management of technology and innovation, environment-friendly design, capacity planning, plant location and facilities layout, logistics and supply chain management, total quality management, operations scheduling, and performance management.

Local business organizations are confronted with increasing global competition. To face up to these challenges, managers and decision makers need to fully understand the role of the operations function and its impact on competitiveness. Students will learn how enterprises can organize and manage resources (manpower, technology, facilities, and materials) efficiently to create and deliver products and/or services that respond effectively to customer requirements and expectations. The course covers concepts, procedures, and technologies used in designing and managing operational processes in both manufacturing and service-oriented organizations, with emphasis on informed decision- making and the use of analytical tools.

The course introduces the students to various methods of statistical analyses as applied in various industries and enterprises. Through the use of primary statistical techniques, the students attain a meaningful understanding of statistical reasoning within the context of management decision-making. Topics essentially focus on statistical description, statistical induction, and analysis of statistical relationship.

This course is an introduction to the core discipline that distinguishes the M.E. Program from other management programs – the quantitative approach to problem solving in management. It assumes a high level of mathematical preparation and a sufficient exposure to basic management principles. The course starts with an introduction to the general quantitative problem solving methodology. It then proceeds to one of the most widely used techniques, linear programming, covering its formulation, solution methods, other model forms, sensitivity analysis, and other applications.

The art of modeling is at the core of Operations Research (OR). Aspects of modeling include problem formulation, solution, sensitivity analysis, and use of modeling heuristics.
Modeling puts many of the specific analytic tools learned in the first two semesters of OR to use. The course is roughly divided into three parts. The first part consists in the study of additional prototype models and an introduction to heuristic approaches to problem solving. The second consists in a study of model formulation through a discussion of selected papers from OR journals. The third involves the formulation and solution of real-life problems in business and industry.

The course gives an overview of the changes in today's society due to the rapid digital transformation. It examines the development and scope of the digital economy from a local and a global scale, the business challenges, opportunities, and implication that results from this digital transformation.