11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


se.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 Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute
2 Be able to design and analyze software at component, subsystem, and software architecture level
3 Be able to develop software by coding, verifying, doing unit testing and debugging
4 Be able to verify software by testing its behaviour, execution conditions, and expected results
5 Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation
6 Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically
7 To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning
8 Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes
9 Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance
10 To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software
11 To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering
12 Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering X
13

Be able to use a foreign language to follow related field publications and communicate with colleagues

X

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

 

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