MASTER SYLLABUS
Course Number & title: Business
340, Management Science
Department(s): Management
Credit hours: 3
Prerequisites: Business 221 and Mathematics 208
Fees and charges: none
Effective catalog date for this master syllabus: 2006-2007
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1. Catalog description:
A survey of techniques of management science, an approach to managerial decision making that involves the use of quantitative tools of analysis. Topics covered will include linear programming, queuing models, simulation, decision analysis, and network models for project management.
2. Course content:
This course will begin by examining the graphical solution approach for linear programming problems. Computer solution of linear programming, using both specialized management scientist software and spreadsheet software (Microsoft Excel, with the Solver add-in), will be covered, including sensitivity analysis and the interpretation of the solution to a problem. A wide range of linear programming applications will be covered, with the emphasis placed on modeling a variety of decision situations by formulating an objective function and the relevant constraints. Problem types with special structures, including transportation and assignment problems also will be presented. Integer linear programming, including the use of binary decision variables to model specific types of situations, will be covered. Other topics examined will include project scheduling using network models, queuing (waiting line) models, and computer simulation using spreadsheet software.
3. Student learning objectives:
Upon completion of this course, a student should be able to model a wide range of management decision making situations and to apply appropriate quantitative tools to solve the problems presented.
This course will provide students the opportunity to develop and practice the following competencies:
1. specialized business knowledge related to the field of management science
2. written and oral communications skills
3. interpersonal competence, working well with others, and teamwork
4. managerial thinking and analysis skills
5. integrity and accountability
4. Student assessment criteria:
Assessment guidelines for this course are as follows:
1. Specialized business knowledge will be assessed by exams and written assignments, with an emphasis on quantitative approaches for problem
solving.
2. Written communication skills will be assessed by essay questions on exams and written assignments.
3. Oral communications skills will be assessed by an evaluation of participation in class discussions.
4. Interpersonal competence and teamwork will be assessed by performance on group assignments.
5. Managerial thinking and analysis skills will be assessed by questions on exams and written case analysis.
6. Integrity and accountability will be reinforced and
assessed by adherence to the
written assignments, and by completing work on time.
5. Additional information (optional):
Relevant professional organizations, including INFORMS and the Decision Sciences Institute, have Web sites and publications that are a useful source of information to supplement the textbook. The choice of textbook will be made when the class if offered. An example of a recent text used for this class is An Introduction to Management Science: Quantitative Approaches to Decision Making (11th edition), David R. Anderson, Dennis J. Sweeney, and Thomas A. Williams; West Publishing Co., 2005. This textbook includes The Management Scientist software and the Premium Solver add-in for Excel.
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