Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
---|---|---|---|---|---|
Modelleme ve Simülasyon | BSM 531 | 1 | 3 + 0 | 3 | 6 |
Ön Koşul Dersleri | |
Önerilen Seçmeli Dersler | |
Dersin Dili | Türkçe |
Dersin Seviyesi | YUKSEK_LISANS |
Dersin Türü | Zorunlu |
Dersin Koordinatörü | Dr.Öğr.Üyesi ABDULLAH SEVİN |
Dersi Verenler | Dr.Öğr.Üyesi ABDULLAH SEVİN, |
Dersin Yardımcıları | |
Dersin Kategorisi | Diğer |
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 |
# | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
---|---|---|---|
1 | Know Modeling approaches and simulation techniques | Lecture, Question-Answer, | Testing, |
2 | Know discrete event system modeling | Lecture, Question-Answer, Drilland Practice, | Testing, Performance Task, |
3 | Know modeling and simulation verification and validation clicking | Lecture, Question-Answer, Case Study, Project Based Learning, | Testing, Project / Design, Performance Task, |
4 | Carrying out a successful simulation project | Lecture, Case Study, Project Based Learning, | Testing, Performance Task, |
Hafta | Ders Konuları | Ön Hazırlık |
---|---|---|
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 | |
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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 |
Sıra | Program Çıktıları | Katkı Düzeyi | |||||
---|---|---|---|---|---|---|---|
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 | |
---|---|
Yarıyıl Çalışmaları | Katkı Oranı |
1. Proje / Tasarım | 20 |
1. Performans Görevi (Seminer) | 30 |
2. Proje / Tasarım | 20 |
2. Performans Görevi (Seminer) | 30 |
Toplam | 100 |
1. Yıl İçinin Başarıya | 60 |
1. Final | 40 |
Toplam | 100 |
AKTS - İş Yükü Etkinlik | Sayı | Süre (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 (Saat) | 6,12 | ||
Dersin AKTS Kredisi | 6 |