MGS 8150: Business Modeling

Spring 2010 / Course Schedule

Dr. Alok Srivastava

Visit this page regularly. I will be posting assignments, review materials, and other resources every week. This schedule is tentative and changes may be necessary.

Electronic Text Six Sigma Certification

Date	Topics	Resources / Assignments (due following week)
1/13	Overview of Decision Sciences Why Model? Obtain Software	Publishing to the Web Account Info on GSU server Assignment 1 Personal Statement
1/20	Introduction to Modeling (ch. 1) The Modeling Process MB-DSS : Modeling Uncertainty Putting it all together: Decision Sciences in Context	Assignment 2: Write a short report on each – DSS Examples Tutorial on DataTables
1/27	Spreadsheet Modeling (ch.2) Model-Based DSS Influence Diagrams Business Intelligence
2/3 2/10	Forecasting Models (12.5 – 12.7) Modeling Complexity and Uncertainty using Time Series Time Series Analysis Reading	Project 1: Forecasting Project Datasets
2/17	Forecasting Models (12.1-12.5) Regression Analysis Interpreting Regression Results Reading	Project 2: Regression Project Example Dataset
2/24	Demand Forecasting Models DSS for Marketing (Product Life Cycle, Competitor Analysis, etc.) Modeling Firm Demand Data for demand forecasting An example of DSS for marketing decisions	Project 3: DSS development project
	The Modeling Process Model Development, Implementation and Use Sensitivity Analyses and Goal Seeking Auditing and Reverse Engineering DSS Design and Development Issues
3/3	MIDTERM EXAM
3/17	Ch. 10: Simulation Models - Managing Uncertainty and Complexity (Monte-Carlo Simulation) Overview of Monte-Carlo Simulation (using Crystal Ball) General Overview of Simulation Modeling Process for MCS	@Risk Video Tutorial
3/24	Monte-Carlo Simulation Continued Time dependent simulation Risk Analysis MCS example	Project 4: Monte-Carlo Simulation Project Example Models
3/31	Ch 4: Optimization Techniques (Lecture Notes) Modeling process for optimization Linear Programming Graphical Method Solving LP Models Examples	Project 5: Optimization Project
4/7	Ch 5 and 6: Optimization Techniques Network Models Integer Programming
4/14	Data Mining Techniques Classification Techniques (Discriminant and Factor Analyses)	Data Mining Tool for Excel – XL Miner
4/21	Final Project Presentations
5/4	In-class Final	Final Exam – take home (from previous semester)
	Misc (Patch to upgrade software that accompanies the text)

Obtain Software