PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
YOBS 552	SIMULATION AND DIGITAL TWIN	3 + 0	1st Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	The aim of the course is to explain the basics of simulation and digital twin concepts in businesses, to exemplify their use in smart factories, and to give information about the software used in this field.
Course Content	Within the scope of this course, information about simulation, digital twin, smart factories, internet of things fundamentals, simulation modeling techniques and applications will be given and topics in related scientific articles will be discussed.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Defines the concept of simulation.
2	Defines the concept of digital twin.
3	Understands the process of modeling production and service systems.
4	Evaluates the concepts of simulation and digital twin in Industry 4.0.

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Assignments	2	40	80
Mid-terms	1	13	13
Final examination	1	18	18
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2024-2025 Fall	1	MEHMET ULAŞ KOYUNCUOĞLU

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
YOBS 552	SIMULATION AND DIGITAL TWIN	3 + 0	1	Turkish	2024-2025 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. MEHMET ULAŞ KOYUNCUOĞLU	ulas@pau.edu.tr		Course location is not specified.	%70

Goals		The aim of the course is to explain the basics of simulation and digital twin concepts in businesses, to exemplify their use in smart factories, and to give information about the software used in this field.
Content		Within the scope of this course, information about simulation, digital twin, smart factories, internet of things fundamentals, simulation modeling techniques and applications will be given and topics in related scientific articles will be discussed.

Topics

Weeks	Topics
1	The concept of simulation, its components, advantages of simulation
2	Digital Twin Concept
3	Digital Twin Examples
4	Monte Carlo Simulation
5	Monte Carlo Simulation
6	Statistical Models/Distributions in Simulation
7	Random number generation methods - Queuing systems and system performance indicators
8	Data collection, input analysis and Modelling with ARENA
9	Modelling with ARENA
10	Modelling with ARENA
11	Modelling with ARENA
12	Modelling with ARENA
13	Output analysis
14	Project presentations and review

Materials

Materials are not specified.

Resources

Resources	Resources Language
Kelton, W.D., Sadowski, R.P., and Sturrock, D.T. Simulation with Arena, McGraw Hill, 2007.	English
Özkul, A.E:, Benzetim Ders Notları, Osmangazi Üniversitesi, 2001.	Türkçe
Ders esnasında verilecek ve üniversitemiz kütüphanesinden ve/veya İnternet üzerinden erişilebilir kaynaklar da derste kullanılacaktır.	Türkçe
Altıok, T., Melamed, B., (2007). "Simulation Modeling and Analysis with ARENA", Academic Press.	English
Başlıgil, H., (2021). "Modelleme ve Simülasyon", İstanbul Üniversitesi Yayınları.	Türkçe
Ersöz, F., (2021). "Benzetim ve Modelleme Simülasyon – Model Kurma – Sistem Simülasyonu", Seçkin Yayıncılık, 3. Basım.	Türkçe
Bakır, M. A., Ekiz, O. U., (2015). "Benzetim", Nobel Akademik Yayıncılık, 5. Basım.	Türkçe
Türker, A. K. (2011). "Üretim ve Hizmet Sistemlerinde Simülasyon ve Arena", Kırıkkale Üniversitesi.	Türkçe

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	50	Final Exam
Midterm Exam	50	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student