Introduction to Management Science ISE

PART 1 The Essence of Management Science and Business Analytics
1 Introduction 
2 Overview of the Analysis Process 

PART 2 Models for Predictive Analytics
3 Classification and Prediction Models for Predictive Analytics 
4 Predictive Analytics Based on Traditional Forecasting Methods 

PART 3 Using Linear Programming to Perform Prescriptive Analytics
5 Linear Programming: Basic Concepts
6 Linear Programming: Formulation and Applications 
7 The Art of Modeling with Spreadsheets 
8 What-If Analysis for Linear Programming 
9 Network Optimization Problems 

PART 4 Using Integer or Nonlinear Programming to Perform Prescriptive Analytics
10 Integer Programming 
11 Nonlinear Programming 

PART 5 Traditional Uncertainty Models for Performing Predictive or Prescriptive Analytics
12 Decision Analysis 
13 Queueing Models 
14 Computer Simulation: Basic Concepts 
15 Computer Simulation with Analytic Solver 

APPENDIXES
A Tips for Using Microsoft Excel for Modeling
B Partial Answers to Selected Problems