11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


ce.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
None
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to understand the scope and importance of dynamic systems
  • Will be able to comprehend mathematical modeling used to analyze dynamic systems
  • Will be able to analyze implementations of mathematical modeling of dynamic systems as it applies to different systems from a variety of areas like mechanical, electrical, manufacturing and computer systems
Course Description

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Review of the Semester  
2 A review of initial value problems as ordinary differential equations. First and second order linear dynamic systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 1
3 Linearization by Taylor’s series expansion. The Laplace transform. The inverse Laplace transform. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 2
4 Solving initial value problems by Laplace transformations. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 3
5 Mechanical systems: Modelling and analysis of work, energy and power systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 4
6 Pneumatic systems. Applications of mechanical systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch4
7 Fluid and thermal systems: Modelling and analysis of liquid level, hydraulic and thermal systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 5
8 Applications of fluid and thermal systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 6
9 Midterm
10 Transfer function approach to modelling dynamic systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 7
11 Statespace approach to dynamic analysis. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 8
12 Time domain analysis of first and second order processes. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 9
13 Electrical systems: Modelling and analysis of electromechanical systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 10
14 Frequency domain analysis and applications. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 11
15 Fundamentals of process control System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch 11
16 Review of the Semester  
Course Notes/Textbooks “System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004. ISBN 013124714X
Suggested Readings/Materials Lecture PowerPoint slides

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
2
25
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
2
40
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
65
Weighting of End-of-Semester Activities on the Final Grade
35
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
2
Field Work
Quizzes / Studio Critiques
2
7
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
7
Final Exams
1
14
    Total
120

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems

X
2

Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose

X
3

Ability to design a complex computer based 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 devise, select, and use modern techniques and tools needed for Computer Engineering practice

X
5

Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems

X
6

Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; ability to work individually

7

Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages

8

Recognition 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

Awareness of professional and ethical responsibility

10

Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development

11

Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Computer Engineering solutions

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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