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)
Assist. Prof. Dr. Duygun Fatih Demirel
Course Assistant(s)
-
Schedule
This course is not offered in this semester.
Office Hour(s)
This course is not offered in 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.
-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/Vensim
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
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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
15. Week
Final
-
16. Week
Final
-
17. Week
Final
-
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
30
Homework / Term Projects / Presentations
3
10
Project(s)
1
10
Attendance
14
5
Oral Presentation
1
5
Final Exam
1
40
Program Outcomes
PO-1
Ability to apply theoretical and practical knowledge gained by Mathematics, Science and their engineering fields and ability to use their knowledge in solving complex engineering problems.
PO-2
Ability of determining, defining, formulating and solving complex engineering problems; for that purpose develop the ability of selecting and implementing suitable models and methods of analysis.
PO-3
Ability of designing a complex system, process, device or product under real world constraints and conditions serving certain needs; for this purpose ability of applying modern design techniques
PO-4
Ability of selecting and using the modern techniques and devices which are necessary for analyzing and solving complex problems in engineering implementations; ability of efficient usage of information technologies.
PO-5
Ability of designing experiments, conducting tests, collecting data and analyzing and interpreting the solutions to investigate of complex engineering problems or discipline-specific research topics.
PO-6
Ability of working efficiently in intra-disciplinary and multi-disciplinary teams; individual working ability and habits.
PO-7
Ability of verbal and written communication skills; and at least one foreign language skills, ability to write effective reports and understand written reports, ability to prepare design and production reports, ability to make impressive presentation, ability to give and receive clear and understandable instructions
PO-8
Awareness of importance of lifelong learning; ability to access data, to follow up the recent innovation in science and technology for continuous self-improvement.
PO-9
Conformity to ethical principles; knowledge about occupational and ethical responsibility, and standards used in engineering applications.
PO-10
Knowledge about work life implementations such as project management, risk management and change management; awareness about entrepreneurship and innovativeness; knowledge about sustainable development.
PO-11
Knowledge about effects of engineering applications on health, environment and security in global and social dimensions, and on the problems of the modern age in engineering; awareness about legal outcomes of engineering solutions.
Learning Outcomes
LO-1
Understand the concept of systems thinking.
LO-2
Identify causalities, interdependencies, and feedback mechanisms in a dynamic system.
LO-3
Model non-linear dynamic systems.
LO-4
Evaluate and compare dynamic system behavior, generate policies for real-life applications.
LO-5
Use Vensim as a dynamic system analysis and design tool.
LO-6
Solve a real-life problem using dynamic system design method and teamwork; present the results in oral and written form.
