College of Business Administration Department of Finance and Computer Information Systems MBAA 607 01: OPERATIONS ANALYSIS AND DECISION SUPPORT SYSTEMS Fall 2010 OFFICE HOURS PREREQUISITES MBAA 603: Business Statistics It is assumed that you have knowledge of basic algebra and are familiar with personal computers and spreadsheet software, preferably Microsoft Excel. COURSE OBJECTIVES After completion of the course, the student should: Understand how to model typical operations management problems encountered in a modern business environment using quantitative management science techniques. Understand how to analyze various operations management problems encountered in today’s business world, including resource allocation, demand forecasting, project management and queuing system analysis. Have developed analytical and computer modeling skills necessary to build, solve and analyze operations management models. Be able to integrate the information provided by the use of management science techniques and computer models into the operations management decision-making process. Be aware of the limitations of the management science/computer modeling approach to decision-making. Class Time: Tuesday, 7:15-10:00 PMClass Room: Hilton 113Instructor: Zbigniew H. Przasnyski, Ph.D.,Office: Hilton 225Phone: (310) 338 2900Fax: (310) 338 3000E-mail: [email protected] 11:00 AM - 12:15 PM, 4:30 - 5:00 PMTuesday 2:00 - 3:30 PM, 6:05 - 7:05 PMWednesday 11:00 AM - 12:15 PM, 4:30 - 5:00 PM and by appointmentPage 1 of 5607 Syllabus8/25/2010http://myweb.lmu.edu/zprzasny/courses/mbaa607/syllabus.htmCOURSE DESCRIPTION The course is an overview of modern concepts and analytical techniques of Management Science. Emphasis is placed on decision support system design, and how those systems are related to productivity improvement in the production of goods and services. Some typical Operations Management and Decision-Making problems will be investigated from problem statement through to solution analysis by formulating, solving and manipulating suitable quantitative models. The approach taken by the course is very practical and applied: smaller problems will be solved by hand calculation to introduce and illustrate techniques and larger problems will require the use of decision support software. The use of Microsoft Excel is an integral part of the course. COURSE TEXT Cliff T. Ragsdale, Spreadsheet Modeling and Decision Analysis, Revised, 5th edition, South-Western College Publishing, 2008. For All Practical Purposes: Management Science. The Annenberg Project. Tapes #1, #3 (last part), #4, #5. Available in library media center. OTHER COURSE MATERIALS A USB flash memory disk may be useful for storing files that you worked on in class. Problem sets, handouts and data files will be available on the web via the MBAA 607 home page: http://myweb.lmu.edu/zprzasny/courses/mbaa607/. User ID: zpruser Password: decision1 (if your browser also requests for "Domain" leave that field blank) It is suggested that you bookmark this page. A link to the course web site will also be provided through Blackboard. It is your responsibility to download the materials and print them for yourself in anticipation of class. Detailed instructions will be provided on the web site. Make sure you check the "What's New" page regularly for course updates and information, i.e., before and after each class. A three ring binder will help with the organization of the numerous downloads required during the semester. Downloads will be made available in the order they will be used in class so that they can be inserted in order into the three ring binder. Problem sets for both hand and computer solution will be set during the course to complement the lectures and reinforce the methods and techniques studied. Students are expected to complete these in order to become conversant and experienced in the subject area. These problem sets will also form the basis of individual and classroom discussion for the troubleshooting of specific problems or difficulties. MATERIAL CONTRIBUTING TO THE COURSE GRADE Two mid-semester exams will be set. These will be of 2 hours duration. The mid-semester Page 2 of 5607 Syllabus8/25/2010http://myweb.lmu.edu/zprzasny/courses/mbaa607/syllabus.htmexams will be non cumulative. A conventional in-class final exam, of 2½ hours duration, will be set. The final exam will cover material throughout the course. All exams are closed book and closed notes. However, you may bring in ONE 8.5 x 11 sheet of paper with whatever notes you believe are useful. You may use both sides of the paper but cannot staple or tape anything to it. You will also have Internet access during the exams. However ANY form of communication on line with any other individual is strictly prohibited and will result in an automatic FAILING GRADE without the possibility of withdrawal. All exams MUST be taken in order to achieve a passing grade in the course. All exams MUST BE TAKEN AT THE ASSIGNED TIMES. (The only exception is for VALID AND DOCUMENTED MEDICAL REASONS). Two take-home projects will be set. Two weeks will be allowed for each project. The take-home projects MUST be handed in by 7:15 p.m. on the required dates (see course outline). LATE WORK WILL NOT BE ACCEPTED. A brief interactive verification test of the models you have developed will be run at the time of handing in the projects. Extra or additional work will not be provided during the semester, as an alternative to increase course grades. In accordance with the University's academic honesty and integrity regulations (see the Definitions of Academic Dishonesty section of the Bulletin on http://www.lmu.edu/about/services/registrar/Bulletin/Academic_Degree_Requirements_and_no cheating of any kind will be tolerated with regard to any and all work on the course. One instance of cheating on ANY of the course work (i.e., exams or homework assignments) will result in a FAILING GRADE in the course without possibility of withdrawal. GRADING POLICY Each of the exams and projects will be graded and given an individual numerical (point) score. At the end of the course these point scores will be weighted according to the following scheme: and combined into one final percentage score, for the complete course. A letter grade for the complete course will be assigned according to the following guidelines: First Mid-Semester Second Mid-Semester First Project Second Project Final Exam 23%