This course is designed to examine the analysis and construction of the fundamental methods and structures for non-linear and complex dynamic systems. The course provides analytical tools to treat the subject matter and aims to cover the following material: introductory concepts in dynamic systems; systems thinking; system modeling for analysis and design; solution design; solution implementation.
Prerequisite(s)
-
Corequisite(s)
-
Special Requisite(s)
-
Instructor(s)
Dr. Ogr. Üyesi Duygun Fatih Demirel
Course Assistant(s)
-
Schedule
The course is not offered this semester.
Office Hour(s)
The course is not offered this semester.
Teaching Methods and Techniques
Oral presentation, Laboratory
Principle Sources
• Maani KE, Cavana RY. Systems thinking and modelling: understanding change and complexity. Auckland: Prentice Hall; 2000.
• Forrester JW. Industrial dynamics. Portland: Productivity Press; 1961.
• Buede MD. The Engineering Design of Systems Models and Methods. Hoboken: John Wiley & Sons, Inc.; 2000.
Other Sources
• Barlas Y. System dynamics: systemic feedback modeling for policy analysis. System. 2007; 59: 1-29.
• Barlas Y. Formal aspects of model validity and validation in SD. SD Review. 1996; 12(3): 183-210.
• Sargent TJ, Glasow P, Kleijnen JP, Law AM, McGregor I, Youngblood S. Strategic directions in verification, validation and accreditation research. Proceedings of the 2000 Winter Simulation Conference on; 2000: WSC.
• Barlas Y, Erdem A. Output behavior validation in system dynamics simulation. Proceedings of the European Simulation Symposium on; 1994: EES.
• Back G, Love G, Falk J. The doing of model verification and validation: Balancing cost and theory. Proceedings of the 18th International Conference of the SD Society on; 2000: ISDC.
• Doyle JK, Ford DN. Mental models concepts for SD research. SD Review. 1998; 14(1): 3-29.
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to Systems Thinking
Oral presentation
2. Week
Systems Methodology
Oral presentation
3. Week
Causal Loop Modelling
Oral presentation
4. Week
Introduction to Stella
Oral presentation, Laboratory
5. Week
Mathematical Representation of Dynamic Systems
Oral presentation, Laboratory
6. Week
Mathematical Modelling of Dynamic Systems
Oral presentation, Laboratory
7. Week
Behavioral Analysis and Evaluation of Mathematical Models
Oral presentation, Laboratory
8. Week
Midterm
Oral presentation, Laboratory
9. Week
Generic Flow Processes, S-shaped Growth Structure
Oral presentation, Laboratory
10. Week
Overshoot and Collapse Structure, Material and Information Delay
Oral presentation, Laboratory
11. Week
Model Verification and Validation
Oral presentation, Laboratory
12. Week
Sensitivity Analysis and Policy Design
Oral presentation, Laboratory
13. Week
Scenario Planning and Modelling
Oral presentation, Laboratory
14. Week
Project Presentations
Oral presentation, Laboratory
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Homework / Term Projects / Presentations
3
10
Project(s)
1
15
Attendance
14
5
Final Exam
1
40
Program Outcomes
PO-1
Knowledge about management processes and management skills
PO-2
Knowledge and application skills related to the methods and competencies required for solving engineering problems
PO-3
Knowledge about developing areas of manufacturing and service sectors
PO-4
Ability to work in multi-disciplinary engineering teams
PO-5
Experience and knowledge of scientific research and publishing within the frame of academic ethics
Learning Outcomes
LO-1
I. Understand the concept of systems thinking.
LO-2
II. Identify causalities, interdependencies and feedback mechanisms in a dynamic system.
LO-3
III. Model non-linear dynamic systems.
LO-4
IV. Evaluate and compare dynamic system behavior, generate policies for real life applications
LO-5
V. Use Stella as a dynamic system analysis and design tool.
LO-6
VI. Solve a real-life problem using dynamic system design method and teamwork; present the results in oral and written form.
