Course Name Code Semester T+U Hours Credit ECTS
Modelleme ve Simülasyon BSM 531 1 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi ABDULLAH SEVİN
Course Lecturers Dr.Öğr.Üyesi ABDULLAH SEVİN,
Course Assistants
Course Category
Course Objective 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.
Course Content 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
# Course Learning Outcomes Teaching Methods Assessment Methods
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,
Week Course Topics Preliminary Preparation
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
Course Notes
Course Resources 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
Order Program Outcomes Level of Contribution
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
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 30
1. Proje / Tasarım 20
1. Performans Görevi (Seminer) 20
2. Performans Görevi (Seminer) 20
2. Proje / Tasarım 10
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
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
Total Workload 153
Total Workload / 25 (Hours) 6.12
dersAKTSKredisi 6