| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits |
| 3 | PA522 | SYSTEM DYNAMICS AND SIMULATION | 3+0+0 | 3 | 7,5 |
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Language of Instruction
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English
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Level of Course Unit
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Master's Degree
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Department / Program
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POLICY ANALYTICS IN GLOBAL ISSUES
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Type of Program
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Formal Education
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Type of Course Unit
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Elective
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Course Delivery Method
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Face To Face
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Objectives of the Course
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The aim is
to introduce the students to visualizing a complex organization in terms of the structures and policies that create dynamics
to introduce the students to the fundamental methods and structures for non-linear and complex systems
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Course Content
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This is an introductory course in computer simulation, which covers the use of simulation as a decision-making, comparison or estimation tool. The emphasis is on basic concepts and methods in developing system dynamics models for the analysis of policies and strategies. The contents include various subjects such as causal loop diagrams, stock and flow structure of the systems, and growth models. The students will also learn how to use Vensim software as well.
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Course Methods and Techniques
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Prerequisites and co-requisities
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None
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Course Coordinator
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None
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Name of Lecturers
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None
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Assistants
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None
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Work Placement(s)
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No
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Recommended or Required Reading
Course Category
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Engineering
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%50
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Social Sciences
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%50
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Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
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In-Term Studies
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Ödev
|
5
|
%
15
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Proje/Çizim
|
1
|
%
25
|
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Final examination
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1
|
%
35
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Uygulama Çalışmaları (Laboratuar,Sanal Mahkeme,Stüdyo Çalışmaları vb.)
|
5
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%
25
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Total
|
12
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%
100
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ECTS Allocated Based on Student Workload
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Activities
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Total Work Load
|
|
Ev Ödevi
|
5
|
6
|
30
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Kişisel Çalışma
|
14
|
5
|
70
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Yazılım Deneyimi
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5
|
15
|
75
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Yüz Yüze Ders
|
14
|
3
|
42
|
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Final Sınavı
|
1
|
2
|
2
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Total Work Load
| |
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Number of ECTS Credits 7,5
219
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| map the feedback structure of a system using causal loop diagrams |
|
2
| identify stocks and flows |
|
3
| model growth strategies |
|
4
| model diffusions, delays, and oscillations |
|
5
| validate system dynamics models |
|
6
| build system dynamics models using contemporary SD software |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction
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| 2 |
Systems thinking and system dynamics, causal loop diagrams
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| 3 |
Stock and flow diagrams
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| 4 |
Positive and negative feedback systems
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| 5 |
Exponential, goal seeking, and S-Shaped growth dynamics
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| 6 |
Innovation diffusion
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| 7 |
Modelling delays
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| 8 |
Second order systems
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| 9 |
Modelling oscillations
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| 10 |
Modelling non-linear relationships and table functions
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| 11 |
Supply chain models
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| 12 |
Model validation and policy design
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| 13 |
System archetypes
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| 14 |
Revision
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Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=75130&lang=en