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
Oral Exams
Midterm
1
35
Final 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
Theoretical 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
Oral Exam
Midterms
1
10
Final Exam
1
17
    Total
170

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

To have adequate knowledge in Mathematics, Science, Computer Science and Software Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

2

To be able to identify, define, formulate, and solve complex Software Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

3

To be able to design, implement, verify, validate, document, measure and maintain a complex software system, process, or product under realistic constraints and conditions, in such a way as to meet the requirements; ability to apply modern methods for this purpose.

4

To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in software engineering applications; to be able to use information technologies effectively.

5

To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex Software Engineering problems.

6

To be able to work effectively in Software Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to be able to present effectively, to be able to give and receive clear and comprehensible instructions.

8

To have knowledge about global and social impact of engineering practices and software applications on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Engineering and Software Engineering solutions.

9

To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

10

To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Software Engineering, and to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Software Engineering.

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