Course Details

SIGNALS AND SYSTEMS

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits
3	EE204	SIGNALS AND SYSTEMS	3+2+0	4	6

Course Details

Language of Instruction	English
Level of Course Unit	Bachelor's Degree
Department / Program	ELECTRICAL-ELECTRONICS ENGINEERING
Type of Program	Formal Education
Type of Course Unit	Compulsory
Course Delivery Method	Face To Face
Objectives of the Course	(1) To develop the understanding of the basic ideas of the signals and systems encountered in engineering. (2) To understand the basic theory behind some transform techniques such as Fourier transform, Laplace transform, and z-transform. (3) To help students develop signal processing codes to process and visualize signals both offline and in real-time.
Course Content	The course begins with the definitions and properties of signals and systems to establish a common language. Then, the focus becomes the linear time-invariant systems. We discuss and analyze how linear time-invariant systems process and manipulate signals through the use of Fourier analysis and z-transform. These topics are illustrated first with continuous-time signals and then discrete-time signals. Sampling theorem, analog-to-digital conversion and frequency characterization of filters and their designs are covered as the applications of these concepts.
Course Methods and Techniques	Face-to-face, Group work, Programming, Project planning, Laboratory
Prerequisites and co-requisities	None
Course Coordinator	Asist Prof.Dr. TALHA ERDEM erdem.talha@agu.edu.tr
Name of Lecturers	Research Assist.Dr. Oğuzhan Ayyıldız oguzhan.ayyildiz@agu.edu.tr
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	Signal and Systems Oppenheim MATLAB for Engineers, Holly Moore
	Lecture Notes, Lecture Presentations, Reference Books

Course Category

Mathematics and Basic Sciences	%10
Engineering	%20
Field	%70

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	Quantity	Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı	8	% 20
Quiz/Küçük Sınav	7	% 20
Proje/Çizim	1	% 20
Laboratuar	10	% 20
Final examination	1	% 20
Total	27	% 100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Proje	1	30	30
Araştırma	3	10	30
Yazılım Deneyimi	5	10	50
Ders dışı çalışma	10	3	30
Öğretici Sunum/Açıklama	1	10	10
Final Sınavı	1	30	30
Total Work Load			Number of ECTS Credits 6 180

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Express the basic terminology of signals and systems
2	Apply convolution to continuous-time and discrete-time systems
3	Analyze a signal or a system using Fourier, Laplace and z-transform concepts
4	Demonstrate the knowledge of sampling theorem in time and frequency domains
5	Design digital filters using z-transform concepts to remove artifacts or extract information
6	Develop signal processing approaches as a team to process real-world data

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Introduction to Signal and System
2	Basic Signals and System Properties
3	Linear Time-Invariant Systems
4	Convolution Integral
5	Properties of Linear Time-Invariant System
6	Fourier Series Representation of Periodic Signals
7	Fourier Series Representation of Discrete-Time Periodic Signals
8	The Continuous-Time Fourier Transform
9	The Discrete-Time Fourier Transform
10	The Laplace Transform
11	The Z- Transform
12	Time and Frequency Characterization of Signal and Systems
13	Samplling - I
14	Samplling - II

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=74395&lang=en