BUSINESS SIMULATION (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: LO1 – Identify of the concept of business analytics, simulation, and decision making; LO2 – explain of the probability theory and probability distribution as the basis of simulation and BI Tools for Data Analysis; LO3 – apply the use of forecasting and business model simulation for predictive and prescriptive analytical decision.

Topics:

1. Introduction to Data Analysis and Decision Making;
2. Describing the Distribution of a Variable;
3. Finding Relationships among Variables;
4. Business Intelligence (BI) Tools for Data Analysis;
5. Probability and Probability Distribution;
6. Decision Making Under Uncertainty;
7. Sampling and Sampling Distributions;
8. Confidence Interval Estimation;
9. Hypothesis Testing;
10. Regression Analysis: Estimating Relationship;
11. Regression Analysis: Statistical Inference;
12. Time Series Analysis and Forecasting;
13. Introduction to Optimization Modeling;
14. Introduction to Simulation Modeling;
15. Simulation Models;
16. Presentation AoL Project and Case Study.