sap course 1429479141

Course Code & Number:

IE 341

Course Title:

Simulation

Level of Course:

BS

Credits:

(2+0+2) 3 TEDU Credits, 7 ECTS Credits

Catalog Description:

Simulation methodology and model building. Modeling with a simulation language. Random number and random variate generation. Basic issues in the design, verification and validation of simulation models. Analysis of simulation output.

Pre-requisites & Co-requisites:

Pre-requisites: MATH 232
Co-requisites: NONE
Year of Study: 
Junior
Semester: 
Fall
Mode of Delivery: 
Face-to-face
Language of Instruction: 
English
Course Type: 
Compulsory
Required Reading: 
1. Law, A. M. (2007), Simulation Modeling and Analysis (4th edition), McGraw-Hill, New York. 2. Kelton, W. D., Sadowski, R. P., and Swets, N. (2010), Simulation with Arena (5th edition), McGraw-Hill, New York.
Course Objective: 

The course aims to teach the basic principles and the methods in developing simulation models. The goal is to teach simulation modeling with a simulation package, ARENA including the design of the simulation experiments and statistical analysis of the input and output data for simulation models.

Extended Description: 

Decision making under uncertainty. Dynamic programming. Introduction to stochastic processes. Queuing models and applications. Markov chains and Markov processes. Game theory.

Learning Outcomes: 

Upon succesful completion of this course, a student will be able to
1. Apply the basic concepts in discrete-event simulation modeling including model components, event list and flowchart. [e][B3]
2. Use simulation techniques and tools to model systems. [e, k][B3]
3. Construct simulation models using a simulation package and conduct simulation experiments. [b1, e] [B3]
4. Analyse the input and output data for simulation models. [b2][B4]
5. Perform verification and validation - for simulation models. [b2, e] [B3]
6. Identify engineering problems by using performance measures of simulation models. [e][B1]
7. Analyze solutions for industrial engineering problems and compare design alternatives by using simulation techniques. [e, b2][B4]

Planned Learning Activities and Teaching Methods: 
Telling/Explaining
Discussion/Debate
Questioning
Reading
Problem Solving
Inquiry
Collaborating
Simulation & Games
Hands-on Activities
Assessment Methods and Criteria: 
Test / Exam
Quiz/Homework

Student Workload:

Hands-on Work
14
hrs
Quizzes /Homeworks
56
hrs
Midterm Exam 1
12
hrs
Final Exam
18
hrs
Case Study Analysis
20
hrs
Others
56
hrs

Prepared By:

Revised By:

sap_editor