IE 371 | Course Introduction and Application Information

Course Name
Engineering Systems Analysis
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 371
Fall/Spring
3
0
3
6

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives To provide a conceptual framework built on dynamic modelling and analysis of processes based on a variety of applications coming from mechanical, electrical, fluid and thermal systems. This investigation requires a thorough investigation of initial value problems and corresponding mathematical analysis.
Course Description 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
  • Will be able to understand fundamentals of process control
Course Content The general title of “Engineering Systems Analysis” comprises two main features. The first is the concept of process. An engineer is primarily concerned with design of a system. The system is a production process. The fundamental aim is to model, design, operate and control the process. The second feature is a consequence of the first. The process is a living whole. It changes with respect to time. So it is a dynamic process.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
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 Ch 4
7 Fluid and thermal systems: Modelling and analysis of liquid level, hydraulic and thermal systems. System Dynamics,” Katsuhiko Ogata, Prentice Hall, 4th Edition, 2004 Ch5
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
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Homework / Assignments
7
10
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
35
Final / Oral Exam
1
45
Total

Weighting of Semester Activities on the Final Grade
55
Weighting of End-of-Semester Activities on the Final Grade
45
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
4
Field Work
Quizzes / Studio Critiques
Homework / Assignments
7
5
Presentation / Jury
Project
Seminar / Workshop
Portfolios
Midterms / Oral Exams
1
10
Final / Oral Exam
1
17
    Total
170

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Adequate knowledge in Mathematics, Science and Software Engineering; ability to use theoretical and applied information in these areas to model and solve Software Engineering problems
2 Ability to identify, define, formulate, and solve complex Software Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose
3 Ability to design, implement, verify, validate, measure and maintain a complex software system, process or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern methods for this purpose
4 Ability to devise, select, and use modern techniques and tools needed for Software Engineering practice
5 Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Software Engineering problems
6 Ability to work efficiently in Software 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 Software Engineering solutions

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