System Dynamics and Modeling

Course Code:

ISE 401

Course Period:

Autumn

Course Type:

Core

Credits:

4

Theoric:

3

Practice:

0

Laboratory Hour:

2

ECTS:

6

Prerequisite Courses:

Restricted Elective V (ISE 302/304 - System Engineering Methods/System Engineering Methods with DHL)

Differential Equations

Course Language:

English

Courses given by:

Zeynep Ocak

Course Objectives:

This course covers analysis and design of the fundamental methods and structures for non-linear and complex systems.

Course Content:

System Dynamics in Engineering. Linear, Non-Linear and Complex Systems. Modeling of Technical and non-Technical Systems. Lotka-Volterra population and logistics equations. State-Space representation. Causal loop diagrams. Positive and negative feedback loops. Introduction to STELLA programming and system analysis using STELLA. Generic flow process. Stock management structure. Material and Information delay. Class group projects.

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Problem solving by instructor, 4: Use of simulations, 7: Laboratory work, 10: Sample Project Review

Course Evaluation Methods:

A: Written exam, C: Take-home quiz, F: Project, G: Report by student, H: Presentation by student.

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Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
Ability to model non-linear technical and non-technical dynamic systems.	1a,1b,2b,6c	1,2,3,4	A,C
Ability to evaluate and compare dynamic system behavior.	1a,1b,6c	1,2,3,4,7	A
Ability to use Stella as a dynamic system analysis and design tool.	3b,4b,6c	1,2,3,4,7,10	F,H
Ability to design new dynamic systems.	3a,4a,4b,6c	1,2,3,4,7,10	A,C,F,G
Ability to solve a real-life problem using dynamic system design method	1a,1b,2a,2b,3a,3b, 4a,4b,	10	F,G,H
Prepares reports with a team work and presents the results in oral and written form.	6a, 7c,7d	10	F,G,H

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to Systems Dynamics	Text Books and Lecture Notes
2	Mathematical Representation of Dynamic Systems	Text Books and Lecture Notes
3	Mathematical Modelling of Dynamic Systems	Text Books and Lecture Notes
4	Modeling and Mathematical Representation of Dynamic Systems	Text Books and Lecture Notes
5	Behavioral Analysis and Evaluation of Mathematical Models	Text Books and Lecture Notes
6	Dynamic System Design- Causal Loop Diagrams	Text Books and Lecture Notes
7	Dynamic System Design- Generic Flow Processes	Text Books and Lecture Notes
8	Dynamic System Design- S-shaped Growth Structure	Text Books and Lecture Notes
9	Dynamic System Design- Overshoot and Collapse Structure	Text Books and Lecture Notes
10	Dynamic System Design- Material and Information Delay	Text Books and Lecture Notes
11	Verification and Validation	Text Books and Lecture Notes
12	Sensitivity Analysis and Policy Design	Text Books and Lecture Notes
13	Senario Planning	Text Books and Lecture Notes
14	In-class Exercises and Case studies - Midterm	Text Books and Lecture Notes
15	Project Presentations	Text Books and Lecture Notes

Recommended Sources

RECOMMENDED SOURCES

Textbook

- Ogata, K., 1998, System Dynamics, 4th edition, Printice Hall

- Goodman, Michael R, 1974, Study Notes in System Dynamics,

Portland, Oregon, Pegasus Communications.

- Sterman, J., 2000, Business Dynamics: Systems Thinking and

Modeling for a Complex World, Boston: Irwin/McGraw-Hill.

Additional Resources

Material Sharing

MATERIAL SHARING
Documents	Lecture notes will be shared via coadsys moodle
Assignments
Exams	Midterm, Final, Presentation

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Midterm	1	50
Presentation/Project	1	20
In class case studies	1	30
Total		100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		35
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		65
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check X
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	X
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	X
2a	Ability to identify, formulate, and solve complex engineering problems,	X
2b	Ability to select and apply proper analysis and modeling methods for this purpose.	X
3a	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,	X
3b	Ability to apply modern design methods for this purpose.	X
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.	X
4b	Ability to employ information technologies effectively.	X
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6a	Ability to work efficiently in intra-disciplinary teams,	X
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	X
7a	Ability to communicate effectively both orally and in writing,
7b	Knowledge of a minimum of one foreign language,
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,	X
7d	Ability to make effective presentations,	X
7e	Ability to give and receive clear and intelligible instructions.
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,
8b	Ability to continue to educate him/herself.
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.
9b	Knowledge on standards used in engineering practice.
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.
11c	Awareness of the legal consequences of engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration (Including the midterm exam week: 14x Total course hours)	14	5	70
Hours for off-the-classroom study (Pre-study, practice)	14	5	70
Final Exam	1	3	3
Midterm Exam	2	3	6
Total Work Load			149
Total Work Load / 25 (h)			5,96
ECTS Credit of the Course			6

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