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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
MODELLEME VE SİMÜLASYON BSM 531 1 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Dr.Öğr.Üyesi ABDULLAH SEVİN
Dersi Verenler Dr.Öğr.Üyesi ABDULLAH SEVİN
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
Teaching how to effectively utilize the software and hardware technology for Computer-based modeling simulation studies.
Teaching modeling theories and methods, the structure and behavior of dynamic and discrete systemsin realization of software for the simulation of Complex, large-scale systems.
Teaching verification and validation concepts and techniques.
Dersin İçeriği
1. Introduction to modelling and simulation
2. Modeling approaches and simulation techniques
3. Simulation techniques and design complexity
4. Discrete event system modeling
5. The simulation model verification and validation
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Know Modeling approaches and simulation techniques 1 - 2 - A -
2 - Know discrete event system modeling 1 - 2 - 4 - A - F -
3 - Know modeling and simulation verification and validation clicking 1 - 2 - 12 - 16 - A - D - F -
4 - Carrying out a successful simulation project 1 - 12 - 16 - A - F -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice 12:Case Study 16:Project Based Learning
Ölçme Yöntemleri: A:Testing F:Performance Task D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to system Modeling, the theory of Simulation Modeling , approaches and areas of application
2 Distributed conceptual model development and simulation approaches
3 System theory and object-oriented principles and methods
4 Modeling approaches and simulation techniques
5 Random number generation techniques and random variables
6 Discrete event system modeling
7 Hierarchical, modular, component-based modeling
8 Simulation protocol concepts and techniques
9 Simulation design complexity
10 The design of simulation experiments
11 Model verification and validation concepts and techniques
12 Examination of common simulation tools
13 Student Presentations
14 Student Presentations

Kaynaklar

Ders Notu
Ders Kaynakları Theory of Modeling and Simulation , Bernard P. Zeigler, Herbert Praehofer, Tag Gon Kim, Academic Press, 2000
Discrete-Event System Simulation, Banks, J., Carson II, J.S. and Nelson, B.L.,2009,Fifth Edition.,Prentice Hall

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement
11 aware of new and developing application of profession and ability to analyze and study on those applications
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 40
Odev 1 10
ProjeTasarim 1 20
PerformansGoreviSeminer 1 30
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Assignment 1 2 2
Project / Design 1 10 10
Performance Task (Seminar) 1 15 15
Final examination 1 20 20
Toplam İş Yükü 153
Toplam İş Yükü /25(s) 6.12
Dersin AKTS Kredisi 6.12
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