Course Detail
Course Detail
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| SYSTEM DYNAMICS | IND4216938 | Spring Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assist.Prof. Engin SANSARCI |
| Name of Lecturer(s) | Assist.Prof. Engin SANSARCI |
| Assistant(s) | |
| Aim | The objective of this course is to develop students’ ability to analyze complex systems from a holistic perspective, model system behavior over time, and evaluate alternative policy scenarios. The course focuses on building dynamic models of socio-economic, industrial, and managerial systems using feedback loops, stock-flow structures, delays, and nonlinear relationships. Students are expected to adopt a systems thinking approach, effectively utilize simulation-based decision support tools, and develop sustainable solutions for real-world problems. |
| Course Content | This course contains; Course introduction, overview of systems approach, basic concepts of systems thinking,Structure and behavior of complex systems, defining system boundaries,Introduction to causal relationships and feedback concepts,Causal loop diagrams and basic analysis methods,Stock and flow concepts, modeling system structures,Development and interpretation of stock–flow diagrams,Modeling approaches and mid-term review,Midterm,Dynamic behavior patterns and time delays,Simulation fundamentals and model testing methods,Model verification, validation, and sensitivity analysis,Policy design and alternative scenario studies,Application examples and selected case studies,Student work, project presentations, or general review,Overall evaluation, final studies, and course closure. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| 1. Analyze complex socio-technical and managerial systems using a systems thinking perspective and interpret their fundamental structures and behavior patterns. | 10, 16, 2, 6, 9 | A, E, F, G |
| 2. Identify causal relationships (causal links) among system variables, determine their direction and polarity; analyze positive and negative feedback loops, construct causal loop diagrams, and explain the effects of these structures on system behavior. | 10, 16, 2, 6, 9 | A, E, F, G |
| 3. Translate real-world problems into mathematical and simulation-based models using stock-and-flow structures. | 10, 16, 2, 6, 9 | A, E, F, G |
| 4. Analyze system models through simulation, interpret dynamic behavior patterns (growth, oscillation, collapse, etc.), and evaluate results. | 10, 16, 2, 6, 9 | A, F, G |
| 5. Develop alternative policy and decision scenarios and assess their impacts on system performance comparatively. | 10, 16, 2, 6, 9 | A, E, F, G |
| 6. Apply system dynamics methodologies to holistically model, analyze, and propose justified solutions for complex interdisciplinary problems. | 10, 16, 2, 6, 9 | A, E, F, G |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Course introduction, overview of systems approach, basic concepts of systems thinking | |
| 2 | Structure and behavior of complex systems, defining system boundaries | |
| 3 | Introduction to causal relationships and feedback concepts | |
| 4 | Causal loop diagrams and basic analysis methods | |
| 5 | Stock and flow concepts, modeling system structures | |
| 6 | Development and interpretation of stock–flow diagrams | |
| 7 | Modeling approaches and mid-term review | |
| 8 | Midterm | |
| 9 | Dynamic behavior patterns and time delays | |
| 10 | Simulation fundamentals and model testing methods | |
| 11 | Model verification, validation, and sensitivity analysis | |
| 12 | Policy design and alternative scenario studies | |
| 13 | Application examples and selected case studies | |
| 14 | Student work, project presentations, or general review | |
| 15 | Overall evaluation, final studies, and course closure |
| Resources |
| Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill. |
| Lecture Notes |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | X | |||||
| 2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | X | |||||
| 4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||
| 7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | ||||||
| 8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||
| 9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |
| ECTS / Workload Table | ||||||
| Activities | Number of | Duration(Hour) | Total Workload(Hour) | |||
| Course Hours | 14 | 3 | 42 | |||
| Guided Problem Solving | 0 | 0 | 0 | |||
| Resolution of Homework Problems and Submission as a Report | 1 | 36 | 36 | |||
| Term Project | 14 | 2 | 28 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 3 | 6 | 18 | |||
| Midterm Exam | 1 | 18 | 18 | |||
| General Exam | 1 | 36 | 36 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 178 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(178/30) | 6 | |||||
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. | ||||||
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| SYSTEM DYNAMICS | IND4216938 | Spring Semester | 3+0 | 3 | 6 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | English |
| Course Level | First Cycle (Bachelor's Degree) |
| Course Type | Elective |
| Course Coordinator | Assist.Prof. Engin SANSARCI |
| Name of Lecturer(s) | Assist.Prof. Engin SANSARCI |
| Assistant(s) | |
| Aim | The objective of this course is to develop students’ ability to analyze complex systems from a holistic perspective, model system behavior over time, and evaluate alternative policy scenarios. The course focuses on building dynamic models of socio-economic, industrial, and managerial systems using feedback loops, stock-flow structures, delays, and nonlinear relationships. Students are expected to adopt a systems thinking approach, effectively utilize simulation-based decision support tools, and develop sustainable solutions for real-world problems. |
| Course Content | This course contains; Course introduction, overview of systems approach, basic concepts of systems thinking,Structure and behavior of complex systems, defining system boundaries,Introduction to causal relationships and feedback concepts,Causal loop diagrams and basic analysis methods,Stock and flow concepts, modeling system structures,Development and interpretation of stock–flow diagrams,Modeling approaches and mid-term review,Midterm,Dynamic behavior patterns and time delays,Simulation fundamentals and model testing methods,Model verification, validation, and sensitivity analysis,Policy design and alternative scenario studies,Application examples and selected case studies,Student work, project presentations, or general review,Overall evaluation, final studies, and course closure. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| 1. Analyze complex socio-technical and managerial systems using a systems thinking perspective and interpret their fundamental structures and behavior patterns. | 10, 16, 2, 6, 9 | A, E, F, G |
| 2. Identify causal relationships (causal links) among system variables, determine their direction and polarity; analyze positive and negative feedback loops, construct causal loop diagrams, and explain the effects of these structures on system behavior. | 10, 16, 2, 6, 9 | A, E, F, G |
| 3. Translate real-world problems into mathematical and simulation-based models using stock-and-flow structures. | 10, 16, 2, 6, 9 | A, E, F, G |
| 4. Analyze system models through simulation, interpret dynamic behavior patterns (growth, oscillation, collapse, etc.), and evaluate results. | 10, 16, 2, 6, 9 | A, F, G |
| 5. Develop alternative policy and decision scenarios and assess their impacts on system performance comparatively. | 10, 16, 2, 6, 9 | A, E, F, G |
| 6. Apply system dynamics methodologies to holistically model, analyze, and propose justified solutions for complex interdisciplinary problems. | 10, 16, 2, 6, 9 | A, E, F, G |
| Teaching Methods: | 10: Discussion Method, 16: Question - Answer Technique, 2: Project Based Learning Model, 6: Experiential Learning, 9: Lecture Method |
| Assessment Methods: | A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Course introduction, overview of systems approach, basic concepts of systems thinking | |
| 2 | Structure and behavior of complex systems, defining system boundaries | |
| 3 | Introduction to causal relationships and feedback concepts | |
| 4 | Causal loop diagrams and basic analysis methods | |
| 5 | Stock and flow concepts, modeling system structures | |
| 6 | Development and interpretation of stock–flow diagrams | |
| 7 | Modeling approaches and mid-term review | |
| 8 | Midterm | |
| 9 | Dynamic behavior patterns and time delays | |
| 10 | Simulation fundamentals and model testing methods | |
| 11 | Model verification, validation, and sensitivity analysis | |
| 12 | Policy design and alternative scenario studies | |
| 13 | Application examples and selected case studies | |
| 14 | Student work, project presentations, or general review | |
| 15 | Overall evaluation, final studies, and course closure |
| Resources |
| Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill. |
| Lecture Notes |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications | |||||||
| No | Program Qualification | Contribution Level | |||||
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems. | X | |||||
| 2 | Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. | X | |||||
| 3 | Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. | X | |||||
| 4 | Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. | X | |||||
| 5 | Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. | ||||||
| 6 | Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. | ||||||
| 7 | Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. | ||||||
| 8 | Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. | ||||||
| 9 | Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices. | ||||||
| 10 | Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development. | ||||||
| 11 | Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions. | ||||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 30 | |
| Rate of Final Exam to Success | 70 | |
| Total | 100 | |