1	Course Title:	SIMULATION
2	Course Code:	EKO4301
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	7
7	ECTS Credits Allocated:	7
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç. Dr. ARZU EREN ŞENARAS
16	Course Lecturers:	Doç.Dr.V.Sinem Arıkan Kargı
17	Contactinformation of the Course Coordinator:	arzueren@uludag.edu.tr Uludağ University Faculty of Economics and Administrative Sciences A Block 16059 Nilüfer/Bursa
18	Website:
19	Objective of the Course:	To explain various simulation solution models and to enable them to apply simulation models.
20	Contribution of the Course to Professional Development	By using simulation programs, it becomes easier to solve, analyze and design the system problem.

21

Learning Outcomes:

1 To be able to apply the basic principles of simulation studies.; 2 To be able to establish and interpret simulation models for different systems; 3 To be able to apply Monte Carlo Simulation in MS Excel; 4 To be able to develop a simulation model with Micro Saint Sharp; 5 To be able to create activity cycle diagrams; 6 To be able to apply simulations by hand;

22	Course Content:

Week	Theoretical	Practical
1	Basic Concepts of Simulation and Modeling: Simulation Definition, Advantages and Disadvantages of Simulation, Application Areas, System and System Environment, System Elements, Discrete and Continuous Systems
2	Concept of Model , Classification of Models, Classification of Simulation Models, Continuous and Batch Simulation Concept, Steps of Simulation Study
3	Fundamentals of Simulation in MS Excel and Monte Carlo Simulation: Fundamentals of Simulation in MS Excel, Structure of Simulation Sheet in MS Excel, Monte Carlo Simulation
4	Discrete Event Simulation
5	Time Slicing, Next Event Technique
6	Simulation model development with Micro Saint Sharp Program
7	Example in MSS Program
8	Activity Cycle Charts
9	Three-Phase Approach
10	Basics of Manual Simulation, Example of manual simulation
11	Random sampling in discrete event simulation
12	Random Number Generators
13	Reversion, Rejection, Composition, Transformation, Warm-up period
14	Model Validation and Validity, Black Box Validity, White Box Validity. Analysis of Simulation Outputs

23	Textbooks, References and/or Other Materials:	Sezen, H. K., & Günal, M. M. (2009). Yöneylem Araştırmasında Benzetim. Bursa: Ekin Yayınevi.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	20
Quiz	0	0
Homeworks, Performances	1	20
Final Exam	1	60
Total	3	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Homework, midterm and final exam
Information	This course evaluated with a relative evaluation system.

25

ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	0	0	0
Homeworks, Performances	1	50	50
Projects	1	30	30
Field Studies	0	0	0
Midtermexams	1	40	40
Others	0	0	0
Final Exams	1	50	50
Total WorkLoad			252
Total workload/ 30 hr			7,07
ECTS Credit of the Course			7

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 3 2 3 3 3 3 3 4 1 2 3 3 LO2 2 3 4 3 2 3 4 2 3 3 3 3 LO3 3 4 4 3 3 3 2 3 3 3 4 3 LO4 4 2 3 3 3 4 2 4 3 3 2 3 LO5 3 3 2 4 3 3 3 3 3 3 3 4 LO6 2 2 3 3 2 2 3 2 3 3 2 2

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High