Faculty Contact Information:
Dr. JED Riggs
PSC 9 Box 3018
APO AE 09123
EMAIL: jriggs@ed.umuc.edu | |
Consultation:
| One-Half Hour before class, and by appointment. | |
Required Texts and Readings:
TEXT
Anderson, D.R., Sweeney, D.J., & Williams, T.A. 2004. Quantitative Methods for Business, (9th ed.), with Management Scientist, 6.0. U.S.A.: Thompson Learning.
READINGS
American Psychological Association. 2001. Publication Manual of the American Psychological Association, (5th ed.). Washington DC: Author | |
Supplementary Readings:
All graduate students should be prepared to utilize the UMUC online library at http://www.umuc.edu/library/. The library contains a large number of full text academic journals that are free of charge and immediately available. The library homepage also contains a number of links related to improving students' research and writing skills.
USEFUL WEBSITE: http://quant.swcollege.com | |
Recommended Journals:
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Course Description:
| Prerequisites: College algebra and either undergraduate statistics or the permission of the Program Director. Acquaints students with the quantitative techniques commonly used in the decision-making process. Sample topics include concepts of decision making and decision analysis, linear programming, sensitivity analysis, transportation and assignments problems, forecasting and time series analysis, inventory concepts, PERT, and mathematical simulation. | |
Course Goals:
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As a required course in the policy track of the MPA and an elective in the M.S. in Management Information Systems, this course develops analytical skills necessary to the quantitative analysis of policy proposals and executive decisions. Upon completion of this course, participants should have an understanding of:
- The reasons for applying Quantitative decision making in the Public Sector.
- Problems in modern decision systems.
- Quantitative methods for data presentation.
- Quantitative methods of data extraction.
- The mathematical basis of forecasting theory.
- Models for risk and payoff prediction.
- Methods of problem assessment and categorization.
- Alternative methods to traditional decision making systems.
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Course Objectives:
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At the conclusion of this course, the student will be able to:
- Analyze management policy for decision-making purposes.
- Investigate problem identification and definition as a part of problem solving and decision making.
- Generate relevant statistical charts, graphs and models.
- Interpret relevant statistical charts, graphs and models.
- Review elements of statistical probability requisite for management science.
- Examine data for cyclical trends.
- Apply risk assessment models.
- Create a PERT chart.
- Manage inventory on a cyclical or non-cyclical basis.
- Generate Waiting Line models.
- Manage the process of product trans-shipment.
- Apply linear programming models.
- Determine utility factors relevant to policy success.
- Distinguish between relevant and irrelevant sources of decision data.
- Execute a multiple regression table, and analyze it.
- Apply multicriteria (quantitative and qualitative) methods of decision-making.
- Organize, present and explain decision systems to others more effectively.
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Grading Information:
Grades for this course will be assigned as follows:
A 90%
B 80 – 89%
C 70 – 79%
F Below 70%
Please note that Bowie State University does not use "D" for graduate students. The grade F(a) is used to designate academic failure. F(n) is used to designate failure for non-completion. Grades of Incomplete or Withdrawal are governed by UMUC-Europe policies. For further details, please refer to the UMUC-Europe Graduate Catalog. Hard copies of the catalog are available in your local Education Center. | |
Course Requirements:
Graduate school at the masters level focuses on helping students obtain the education needed for success as professionals in their chosen fields. Thus, UMUC-Europe Graduate Programs and Bowie State University share the common goals of promoting excellence in academic scholarship through thoughtful inquiry and the skillful application of knowledge and theory for the betterment of society. In order to maximize your graduate educational experience in general and this course in particular, you are required to:
Participate in classroom discussions----10%
Mid-Term Exam---------------------------40%
Final Exam------------------------------50% | |
Description of Course Requirements:
Successful graduate students in American universities dedicate approximately three hours of preparation/study time for every hour spent in the face-to-face classroom. Thus, the following course requirements were developed on the assumption that students would be prepared to spend approximately 150 hours of their own time working on them. In an 8-week term, that is the equivalent of a half-time job. Most 14-week graduate distance education courses require at least 10 hours per week of dedicated time, plus time spent in the virtual classroom.
Participate in classroom discussions: You are expected to come to class prepared to engage in all discussions in a professional and informed manner.
Write graduate level papers or case studies: You are required to conduct professional-level research, including appropriately citing works of others and avoiding plagiarism.
Orally/visually present prepared material: You are required to present your research in a professional manner. In a face-to-face course, this typically means an oral presentation accompanied by appropriate visual material. In a DE class, this means creating a visual/textual presentation for your instructor and classmates.
Complete one or more written examination(s): The examination process in this class will assist you in developing the writing and critical thinking skills necessary to successfully passing the comprehensive exam required of all graduate students. The questions used for this course will either be taken directly from past comprehensive exams or written as though to be included on a comprehensive exam. | |
Course Schedule:
This schedule presents 16 units or modules, with each unit corresponding to a regular three-hour weekday meeting, a half-day on weekends, or a full week of DE.
WEEK ONE:
1. Introduction No Readings.
2. Complexity and Decision Making No Readings.
1. Same Subject.
2. Same Subject.
WEEK TWO:
1. Simple Problem Formulation. Chp. 4.
2. Probability Decision Making. Chp. 5.
WEEK THREE:
1. Application of Utility. Chp. 5.
2. Forecasting. Chp. 6.
WEEK FOUR:
1. Forecasting (Cont.)
2. MID-TERM EXAMINATION.
WEEK FIVE:
1. Linear Programming. Chp. 7.
2. Same Subject.
WEEK SIX:
1. Transportation Models. Chp. 10.
2. PERT/CPM Models. Chp. 12.
WEEK SEVEN:
1. Inventory Management. Chp. 13.
2. Same Subject.
WEEK EIGHT:
1. Waiting Line Models. (Class Reviews) Chp. 15.
2. FINAL EXAMINATION. | |
Academic Policies:
Please refer to the UMUC-Europe Graduate Catalog for information on the following:
Academic Integrity
Course Load
Exception to Policy
Grade Appeal Process
Make-up Examinations
Nondiscrimination
Students with Disabilities
Hard copies of the catalog are available at your local Education Center. | |
Faculty Bio:
| Dr. JED Riggs is Collegiate Professor with the University of Maryland in Europe/Bowie State University, and has been teaching in the Maryland system since 1994. | |