Systems Simulation & Engineering Data Analysis (6 Credits)

Learning Outcomes:

Explain some various forms of models and definitions of the system simulation;
Apply any simulation methods and techniques to formulate the problem into the simulation model;
Explain the importance the engineering data analytics in the business and Manufacturer environment;
Analyze the implementation of descriptive, predictive, and prescriptive model in decision making.

Topic:

(1) Introduction to System, Model and Simulation
(2) Statistical Model in Simulation
(3) Random Number Generation
(4) Queueing and Inventory Models
(5) Analysis of Simulation Data and Models, Verification and Validation
(6) Foundation of Business Analytics
(7) Descriptive Analytics
(8) Predictive Analytics
(9) Prescriptive Analytics
(10) Making Decisions