Department of Biomedical Engineering

EEE 309 | Course Introduction and Application Information

Course Name

Signals and Systems

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
EEE 309	SPRING	3	2	4	6

Prerequisites	MATH 153 To get a grade of at least FD
Course Language	English
Course Type	Required (Core Course)
Course Level	First Cycle
Mode of Delivery	Face-to-Face
Teaching Methods and Techniques of the Course	• Application: Experiment/ Laboratory/ Workshop • Lecture / Presentation
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Aydın Akan
Course Lecturer(s)	Prof. Dr. Aydın Akan
Assistant(s)	Araş. Gör. Burak Akbuğday

Course Objectives

The aim of this course is to provide students with the mathematical foundations and tools necessary for the analysis of signals processed by systems. It is the first step toward understanding how signals carry information and how systems process this information, and it is essential for other courses in the Electrical and Electronics Engineering program.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Identify different types of signals, their various representations, and the fundamental properties that facilitate their analysis.			X
LO2	Determine system characteristics such as linearity, time invariance, causality, and stability.			X
LO3	Describe the basic properties of linear, time-invariant systems.			X
LO4	Use Fourier series, Fourier transform, and Laplace transform for continuous-time signals and systems.				X
LO5	Analyze the behavior of linear, time-invariant systems using transformation analysis.				X
LO6	Simulate signals and systems using MATLAB signal processing tools.				X

Course Description

The topics covered include time-domain analysis of continuous-time and discrete-time signals and systems, Fourier series and periodic signals, continuous-time Fourier transform, sampling, and Laplace transform.

Related Sustainable Development Goals

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	Learning Outcome
1	Introduction and mathematical foundations; some example signals and systems	-	-
2	Continuous-time signals; basic signals; signal operations and properties	Chapter 1. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO1
3	Continuous-time systems; system properties	Chapter 1. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO2
4	Continuous-time linear, time-invariant systems; convolution integral; properties and examples	Chapter 2. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO3
5	Discrete-time signals; basic signals; signal operations and properties	Chapter 1. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO1
6	Discrete-time systems; system properties	Chapter 1. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO2
7	Discrete-time linear, time-invariant systems; convolution sum; properties and examples	Chapter 2. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO3
8	Midterm Exam	-	-
9	Continuous-time Fourier series; properties and examples	Chapter 3. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO4
10	Continuous-time Fourier series; properties and examples	Chapter 3. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO5
11	Continuous-time Fourier transform; Fourier transform of periodic signals; properties of Fourier transform; convolution and multiplication properties and examples; inverse transform and properties	Chapter 4. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO4
12	Continuous-time Fourier transform; Fourier transform of periodic signals; properties of Fourier transform; convolution and multiplication properties and examples; inverse transform and properties	Chapter 4. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO5
13	Sampling theorem; sampling of band-limited continuous-time signals; sampling analysis; under-sampling and aliasing	Chapter 7. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO4
14	Laplace transform; inverse transform and properties; system functions and analyses of linear, time-invariant systems	Chapter 9. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO4
15	Laplace transform; inverse transform and properties; system functions and analyses of linear, time-invariant systems	Chapter 9. A. V. Oppenheim, A. S. Willsky, with H. Nawab, Signals and Systems, ISBN: 978-1-292-02590-2	LO5
16	Final Exam	-	-

Course Notes/Textbooks	A V. Oppenheim A. S. Willsky with H. Nawab Signals and Systems Pearson 2014 2/E. ISBN: 978- 1-292-02590-2.
Suggested Readings/Materials	A. Akan L F. Chaparro Signals and Systems using MATLAB Academic Press 2024 4/E ISBN: 978-0-443-15709-7.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5	LO6
Laboratory / Application	1	20	X	X	X	X	X	X
Midterm	1	40	X	X	X
Final Exam	1	40				X	X	X
Total	3	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	16	2	32
Study Hours Out of Class	14	3	42
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	-	-	-
Presentation / Jury	-	-	-
Project	-	-	-
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	24	24
Final Exam	1	34	34
		Total	180