#Decision Models and Risk Analysis
Decision Models and Risk Analysis course is nice blend of Statistics and Operation Research methods. Students will learn verity of optimization techniques with real world applications in various disciplines.
- Introduction to Decision Modeling
- What-If Modeling
- Goal Seeking
- Tables
- Linear and Integer Programming using Excel/WinQSB/ORMM
- Non-Linear Programming Using Excel/WinQSB/ORMM
- Sensitivity Analysis Using Excel and WinQSB/ORMM
- Sanario Managing in Execl
- One Group comparision
- Two Group comparision
- More than two group comparision
###Simulation
- Use of Tables
- Use of Distributions
###Queuing Theory
Queuing Theory (Modeling Waiting Lines) Modeling Inventory Decisions Modeling Waiting Lines
###Time Series Analysis
- Nature of Time Series data
- Components of Time Series
- Auto Regressive Integrated Moving Average Methods
- The ARIMA(p,d,q) Models for Forecasting
- Diagnostics of ARIMA(p,d,q) Models
Excel Files Used in Class Room:
- Ch 8 Unfinesed, Ch 8 Finished
Datasets:
Assignments:
- Assignment 1, A2
Solution:
- S1, S2
###Recommended Books:
- Hammond, Keeney, Raiffa, Smart Choices: A Practical Guide To Making Better Life Decisions
- Middleton, Decision Analysis Using Microsoft Excel, April 2007
- Taha, H.A. Operations Research, An Introduction, Macmillan Publishig Company, New York, 6th Edition.
- Chernof, and Moses, L. E., Elementary Decision Theory, John Wiley & Sons, Inc. New York.
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About
Nadeem Shafique Butt, Associate Professor of Biostatistics at King Abdulaziz University Also Visiting/Adjunct faculty member at University of the Punjab,
Phone:
Fax:
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DMRA
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