| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits | Last Updated Date |
| 1 | ECE501 | LINEAR SYSTEMS | 3+0+0 | 3 | 7,5 | 14.05.2025 |
|
Language of Instruction
|
English
|
|
Level of Course Unit
|
Doctorate's Degree
|
|
Department / Program
|
ELECTRICAL AND COMPUTER ENGINEERING
|
|
Type of Program
|
Formal Education
|
|
Type of Course Unit
|
Elective
|
|
Course Delivery Method
|
Face To Face
|
|
Objectives of the Course
|
Learning, understanding and applying linear analysis and design tools that are needed in electrical engineering studies.
|
|
Course Content
|
System representation and analysis
Solution for state-space linear time-invariant (LTI) systems
Controllability and Observability
State Feedback Control
Optimal Control
Stability
Discrete-time systems
MIMO systems
|
|
Course Methods and Techniques
|
Midterm exam: 30%
5 Homework: 30%
1 Final exam: 40%
|
|
Prerequisites and co-requisities
|
None
|
|
Course Coordinator
|
Associate Prof.Dr. Samet Güler
|
|
Name of Lecturers
|
None
|
|
Assistants
|
None
|
|
Work Placement(s)
|
No
|
Recommended or Required Reading
Course Category
|
Mathematics and Basic Sciences
|
%40
|
|
|
Engineering
|
%60
|
|
|
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
|
In-Term Studies
|
|
Quiz/Küçük Sınav
|
1
|
%
30
|
|
Ödev
|
5
|
%
30
|
|
Final examination
|
1
|
%
40
|
|
Total
|
7
|
%
100
|
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Araştırma Ödevi
|
2
|
10
|
20
|
|
Yazılı Sınav
|
2
|
6
|
12
|
|
F2F Dersi
|
12
|
3
|
36
|
|
Ev Ödevi
|
5
|
20
|
100
|
|
Araştırma
|
8
|
3
|
24
|
|
Total Work Load
| |
|
Number of ECTS Credits 7,5
192
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
| No | Learning Outcomes |
|
1
| Interpret the fundamentals of linear systems |
|
2
| Design linear control system |
|
3
| Use software tools that can be used for analysis and design of linear systems. |
|
4
| Learn optimal design methods |
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
| 1 |
Introduction to Linear Systems
|
|
|
| 2 |
State-space representation and analysis
|
|
|
| 3 |
Solution for state-space linear time-invariant (LTI) systems
|
|
|
| 4 |
Solution for state-space linear time-invariant (LTI) systems
|
|
|
| 5 |
Linear time-varying systems
|
|
|
| 6 |
Controllability and Observability
|
|
|
| 7 |
State Feedback Control
|
|
|
| 8 |
Midterm exam
|
|
|
| 9 |
Optimal Control
|
|
|
| 10 |
Stability analysis
|
|
|
| 11 |
Discrete-time systems
|
|
|
| 12 |
Design Considerations and Steady-state accuracy
|
|
|
| 13 |
Polynomial representations
|
|
|
| 14 |
Final exam
|
|
|
Contribution of Learning Outcomes to Programme Outcomes
Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant
https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77789&lang=en