Probability Decision Analysis
UNIVERSITI UTARA MALAYSIA
COLLEGE OF ARTS AND SCIENCES
COURSE CODE : SQQP 5023
COURSE NAME : DECISION ANALYSIS
LECTURER : DR. SYARIZA ABDUL RAHMAN email: syariza@uum.edu.my tel: 04 – 9286975/ 016-4127923
1. COURSE SYNOPSIS
Mathematical tools have been applied for thousands of years; however, the formal study and application of quantitative techniques to practical decision making is largely a product of the twentieth century. Decision analysis refers to a body of techniques that allows a decision-maker to evaluate uncertainty, risk, and multiple objectives decision problems. Among the topics that will be covered in this course are decision theory, forecasting, linear programming, transportation and assignment models, waiting line analysis, simulation, network flow models and project management.
2. LEARNING OUTCOMES
1. To develop a conceptual understanding of commonly applied management science techniques in the context of business problems. 2. To apply the selected management science techniques in the context of business problems. 3. To discuss the assumptions, the advantages and the limitations of each of the management science techniques in solving business related problems.
3. COURSE CONTENTS
|DATE |TITLE |HOURS |
|12/05/2012 |Introduction |5 |
| |Approaches in Quantitative Modeling | |
| |A Historical Overview | |
| |The Process of Quantitative Modeling | |
| |Review of Probability Concepts
COLLEGE OF ARTS AND SCIENCES
COURSE CODE : SQQP 5023
COURSE NAME : DECISION ANALYSIS
LECTURER : DR. SYARIZA ABDUL RAHMAN email: syariza@uum.edu.my tel: 04 – 9286975/ 016-4127923
1. COURSE SYNOPSIS
Mathematical tools have been applied for thousands of years; however, the formal study and application of quantitative techniques to practical decision making is largely a product of the twentieth century. Decision analysis refers to a body of techniques that allows a decision-maker to evaluate uncertainty, risk, and multiple objectives decision problems. Among the topics that will be covered in this course are decision theory, forecasting, linear programming, transportation and assignment models, waiting line analysis, simulation, network flow models and project management.
2. LEARNING OUTCOMES
1. To develop a conceptual understanding of commonly applied management science techniques in the context of business problems. 2. To apply the selected management science techniques in the context of business problems. 3. To discuss the assumptions, the advantages and the limitations of each of the management science techniques in solving business related problems.
3. COURSE CONTENTS
|DATE |TITLE |HOURS |
|12/05/2012 |Introduction |5 |
| |Approaches in Quantitative Modeling | |
| |A Historical Overview | |
| |The Process of Quantitative Modeling | |
| |Review of Probability Concepts
References: Render, B., Stair Jr, R.M., & Hanna, M.E. (2006). Quantitative Analysis for Management (9th Edition), New Jersey: Prentice Hall. Taylor, W.B. (2004). Introduction to Management Science (8th Edition),New Jersey: Prentice Hall. Anderson, D.R., Sweeney, D.J. and Williams, T.A. (2000). An Introduction to Management Science: Quantitative Approaches to Decision Making (9th Edition),Cincinnati: South-WesternCollege Publishing. Lawrence Jr, J.A., & Pasternack, B.A. (2002). Applied Management Science: Modeling, Spreadsheet Analysis, and Communication for Decision Making, New York: John Wiley & Sons Inc. Hillier, F.S., & Hillier, M.S. (2003). Introduction to Management Science: A Modeling and Case Studies Approach with Spreadsheets.New York: McGraw Hill.