PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
IENG 429	SYSTEM SIMULATION	3 + 0	8th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	The objective of this course is to introduce the concepts related to simulation which is one of the most important analysis and solution tools used by IEs. Students attending this course will be able to develop discrete event simulation models and evaluate the results of these models.
Course Content	Definition of system simulation. Fundemental concepts of simulation. Steps of a simulation study. Statistic and probabilty concepts in simulation. Establishing simulation models for discrete systems. Programming simulation models for discrete systems. Programming simulation models. Validity validation analysis. Output analisis.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.

COURSE LEARNING OUTCOMES

1	Understands the concept of simulation and its importance
2	Develops basic and mid-level discrete event simulation models
3	Understands the operations related to complex systems and collects necessary data.
4	Generates solutions to decision problems using simulation

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	5	70
Mid-terms	1	6	6
Final examination	1	12	12
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester	Mode of Delivery
IENG 429	SYSTEM SIMULATION	3 + 0	1	Turkish	2022-2023 Fall	Face to Face

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. MEHMET ULAŞ KOYUNCUOĞLU	ulas@pau.edu.tr		MUH A0413 MUH A0434	%70

Goals		The objective of this course is to introduce the concepts related to simulation which is one of the most important analysis and solution tools used by IEs. Students attending this course will be able to develop discrete event simulation models and evaluate the results of these models.
Content		Definition of system simulation. Fundemental concepts of simulation. Steps of a simulation study. Statistic and probabilty concepts in simulation. Establishing simulation models for discrete systems. Programming simulation models for discrete systems. Programming simulation models. Validity validation analysis. Output analisis.

Topics

Weeks	Topics
1	The concept of simulation, its components, advantages of simulation
2	Development of a simulation model
3	Monte Carlo Simulation
4	Monte Carlo Simulation
5	Random number generation methods
6	Queuing systems and system performance indicators
7	Modelling with ARENA
8	Modelling with ARENA
9	Modelling with ARENA
10	Modelling with ARENA
11	Data collection and input analysis
12	Output analysis
13	Project presentations
14	Project presentations and review of the course

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

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

Prospective Student