Quantitative Techniques

Quantitative Techniques course for MS Project Management is nice blend of Mathematics, Statistics and Operation Research methods. Students will learn verity of optimization techniques with real world applications in various disciplines.

###Decision Models, Financial Models, Sensitivity Analysis

• Introduction to Decision Modeling
• What-If Modeling
• Goal Seeking
• Tables

###Decision Models, Financial Models, Sensitivity Analysis

• 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

###Parametric and Non-Parametric Inference Data Sets

• One Group comparision
• Two Group comparision
• More than two group comparision

###Multiple Linear Regression

###Logstic Regression

###Factor Analysis

###Discriminent Analysis

###Queuing Theory Practice File

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:

• Comparing Groups

Assignments:

• Assignment 1, A2

###Recommended Books:

• David. S. Moore and George P. McCabe (2003), The Practice of Statistics for Business & Economics Freeman Publishers.
• 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.