POLITICAL SCIENCE AND INTERNATIONAL RELATIONS
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code:

INE4011

Ders İsmi:

System Simulation

Ders Yarıyılı:

Spring
Fall

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
2	2	3	6

Language of instruction:

English

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Non-Departmental Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. MUSTAFA ÖZBAYRAK

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

This course is designed for junior level Industrial Engineering and close disciplines' students to give the fundamental concepts of modelling and analysis of discrete systems. The course aims to provide rigorous input and output analyses of the simulation model created using the statistical and probabilistic concepts as well as modelling the discrete systems, with the examples from both manufacturing and service systems using a general purpose simulation software.

Course Content:

This course is an alternative modelling method to mathematical optimization to model the complex systems. This course aims to teach the fundamental principles of simulation modelling, its steps, data creation, design and create a simulation model with the help of a simulation software, running the model under different system scenarios, obtaining the output as well as analysing and reporting output.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Introduction to Simulation modeling
2)	A guided tour of modelling steps in Simulation.
3)	Statistics and Probability for Simulation Modelling I
4)	Statistics and Probability for Simulation Modelling II
5)	Modelling a simple system using ARENA
6)	System Modelling I
7)	System Modelling II
8)	Selecting the Input Analysis I
9)	Selecting Input Probability Distribution II
10)	System Modelling I
11)	Random Number Generation and Animasions
12)	Modelling Complex Systems
13)	Output Analysis
14)	Output Analysis II
15)	Entity Transfer in Modelling
16)	Simulation of Manufacturing Systems

Sources

Course Notes / Textbooks:	W. D. Kelton, R. P. Sadowski, D. T. Sturrock, Simulation with Arena-6th Edition, McGraw-Hill, 2015. J. Banks, J. S. Carson II, B. L. Nelson, D.M. Nicol, Discrete-Event System Simulation, 5th Edition, Prentice Hall, 2010.
References:	Lecture Notes and supporting materials collected from several academic resources as well as company reports and white papers.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes
1) Grasp basic theoretical and conceptual knowledge about the field and relations between them at the level of practice.
2) Possess basic knowledge about the causes and effects of political transformations in societies.
3) Possess knowledge about quantitative, qualitative and mixed research methods in social and behavioral sciences.
4) Recognize historical patterns while evaluating contemporary political and social developments.
5) Demonstrate interdisciplinary and critical approach while analyzing, synthesizing and forecasting domestic and foreign policy.
6) Conduct studies in the field professionally, both independently or as a team member.
7) Possess consciousness about lifelong learning based on Research & Development.
8) Communicate with peers both orally and in writing, by using a foreign language at least at a level of European Language Portfolio B1 General Level and the necessary informatics and communication technologies.
9) Apply field-related knowledge and competences into career advancement, projects for sustainable development goals, and social responsibility initiatives.
10) Possess the habit to monitor domestic and foreign policy agenda as well as international developments.
11) Possess competence to interpret the new political actors, theories and concepts in a global era.
12) Evaluate the legal and ethical implications of advanced technologies on politics.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Grasp basic theoretical and conceptual knowledge about the field and relations between them at the level of practice.
2)	Possess basic knowledge about the causes and effects of political transformations in societies.
3)	Possess knowledge about quantitative, qualitative and mixed research methods in social and behavioral sciences.
4)	Recognize historical patterns while evaluating contemporary political and social developments.
5)	Demonstrate interdisciplinary and critical approach while analyzing, synthesizing and forecasting domestic and foreign policy.
6)	Conduct studies in the field professionally, both independently or as a team member.
7)	Possess consciousness about lifelong learning based on Research & Development.
8)	Communicate with peers both orally and in writing, by using a foreign language at least at a level of European Language Portfolio B1 General Level and the necessary informatics and communication technologies.
9)	Apply field-related knowledge and competences into career advancement, projects for sustainable development goals, and social responsibility initiatives.
10)	Possess the habit to monitor domestic and foreign policy agenda as well as international developments.
11)	Possess competence to interpret the new political actors, theories and concepts in a global era.
12)	Evaluate the legal and ethical implications of advanced technologies on politics.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	2	% 10
Homework Assignments	4	% 10
Project	1	% 20
Midterms	1	% 20
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Workload
Course Hours	14	28
Laboratory	14	28
Study Hours Out of Class	13	34
Project	3	9
Homework Assignments	2	6
Quizzes	2	18
Midterms	1	10
Final	1	12
Total Workload		145