Industrial Engineering (English)
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

General course introduction information

Course Code:

IE308

Course Name:

Simulation

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	6

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

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 :

Dr.Öğr.Üyesi PELİN ALCAN GEZGİNCİ

Course Lecturer(s):

Dr.Öğr.Üyesi PARMİS SHAH MALEKI

Course Assistants:

Course Objective and Content

Course Objectives:

The first aim is to explain the students to various simulation solution models so that they can find solutions to business problems that cannot be solved analytically. Then, to enable students to apply simulation models.

Course Content:

Classification and Definition of Models and Models / Simulation and Analog Models / Properties of Simulation Models / Time Flow Mechanism in Simulation / Specific and Random Simulation / Generating Random Numbers in Random Numbers / Discrete System Simulation and Examples Applications / Discrete System Simulation Languages / ARENA Programs and Examples / Simulation The Validity and Validity of the Models / Analysis of Simulation Outputs

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Student can apply the basic principles of simulation studies.
2) Student can set up and interpret topics such as analysis of input data, model verification test, and statistical analysis of model outputs with simulation models for different systems.
3) Student can solve simple and complex simulation models by using MS EXCEL and ARENA simulation package programs.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Classification and Identification of Models and Models	yoktur
2)	Classification and Identification of Models and Models	yoktur
3)	Simulation and Analog Models	yoktur
4)	Properties of Simulation Models	yoktur
5)	Time Flow Mechanism in Simulation	yoktur
6)	Specific and Random Simulation	yoktur
7)	Generating Random Numbers in Random Numbers	yoktur
8)	Mid term Exam	yoktur
9)	Discrete System Simulation and Examples Applications	yoktur
10)	Discrete System Simulation and Examples Applications	yoktur
11)	Discrete System Simulation Languages	yoktur
12)	ARENA Program and Examples	yoktur
13)	ARENA Program and Examples	yoktur
14)	Analysis of Simulation Models Accuracy, Validity and Outputs	yoktur
15)	Final Exam	yoktur

Sources

Course Notes / Textbooks:	Benzetim - Simulation Kağıt Kapak – 2015, Sheldon M. Ross (Eser Sahibi), Kolektif (Çevirmen)
References:	Benzetim - Simulation Kağıt Kapak – 2015, Sheldon M. Ross (Eser Sahibi), Kolektif (Çevirmen)

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3
Program Outcomes
1) Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3) Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4) Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
5) Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6) Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7) Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8) Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9) Awareness of professional and ethical responsibility.
10) Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11) Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
2)	Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3)	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
4)	Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
5)	Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
6)	Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7)	Ability to communicate effectively i Turkish, both orally and in writing; knowledge of a minimum of one foreign language.
8)	Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9)	Awareness of professional and ethical responsibility.
10)	Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
11)	Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.

Learning Activity and Teaching Methods

Expression
Lesson

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Midterms	1	2	2
Final	1	2	2
Total Workload			49