TOROS ÜNİVERSİTESİ
Bilgi Paketi Ders Kataloğu

Course Information

SIGNALS AND SYSTEMS
Code	Semester	Theoretical	Practice	National Credit	ECTS Credit
		Hour / Week
EEE319	Fall	2	2	3	5

Prerequisites and co-requisites	MAT205 Complex Calculus
Language of instruction	English
Type	Required
Level of Course	Bachelor's
Lecturer	Asst. Prof. Cevher AK
Mode of Delivery	Face to Face
Suggested Subject
Professional practise ( internship )	Available
Objectives of the Course	Signals and systems are two basic components of engineering.This course provides analysis and description methods of continuous-time (analog) signals and systems.
Contents of the Course	Introduction: Definition of signals and systems. Transformation of independent variable. Properties of signals and systems. Linear, time-invariant systems. Convolution. Properties of linear, time-invariant (LTI) systems. Systems represented by differential equations. State-space analysis of LTI-causal systems described by differential equations. Fourier series. Fourier transform. Properties of Fourier series and Fourier transform. Filtering. Continuous-time modulation. Demonstration of amplitude modulation. The Laplace transform. Analysis of systems by using Fourier and Laplace transform. Continuous-time second-order systems. Butterworth filters. Feedback. Sampling. Interpolation.

Learning Outcomes of Course

#	Learning Outcomes
1	Getting knowledge about the definitions and basic properties of both signals and systems
2	Getting knowledge about the role of convolution in the analysis of linear time invariant systems, and use convolution to determine the response of linear systems to arbitrary inputs.
3	Getting knowledge about Transform signals in their Fourier Series Expansion forms
4	Getting knowledge about Use Continuous Time Fourier transform to analyze and synthesize continuous time signals and systems
5	Getting knowledge about Use Discrete Time Fourier transform to analyze and synthesize discrete time signals and systems
6	Getting knowledge about Analyze discrete time systems using unilateral Z-transform.
7	Getting knowledge about Analyze continuous time systems using unilateral Laplace transform
8	Getting knowledge about Use mathematical software like MATLAB to analyze and simulate signals and LTI systems.

Course Syllabus

#	Subjects	Teaching Methods and Technics
1	Introduction: Definition of signals and systems. Transformation of independent variable. Properties of signals and systems.	lecture
2	Linear, time-invariant systems. Convolution Integral.	lecture
3	Properties of linear, time-invariant (LTI) systems. Systems represented by differential equations.	lecture
4	State-space analysis of LTI-causal systems described by differential equations.	lecture
5	Fourier series.	lecture
6	Fourier transform. Fourier transform properties	lecture
7	Filtering.	lecture
8	Midterm Exam	exam
9	Continuous-time modulation. Demonstration of amplitude modulation.	lecture
10	The Laplace transform Laplace transform properties.	lecture
11	Analysis of systems by using Fourier and Laplace transform.	lecture
12	Continuous-time second-order systems.	lecture
13	Z-transform of discrete time signals	lecture
14	Butterworth filters, Feedback systems.	lecture
15	Sampling. Interpolation.	lecture
16	Final Exam	exam

Course Syllabus

#	Material / Resources	Information About Resources	Reference / Recommended Resources
1	"Signals and Systems. Alan V. Oppenheim. 1997. Prentice Hall. Linear Systems and Signals. B. P. Lathi. 2005. Oxford University Press."
2	Linear Systems and Signals. B. P. Lathi. 2005. Oxford University Press.
3	Lecture Notes.

Method of Assessment

#	Weight	Work Type	Work Title
1	40%	Mid-Term Exam	Mid-Term Exam
2	60%	Final Exam	Final Exam

Relationship between Learning Outcomes of Course and Program Outcomes

#	Learning Outcomes	Program Outcomes	Method of Assessment
1	Getting knowledge about the definitions and basic properties of both signals and systems	1	1͵2
2	Getting knowledge about the role of convolution in the analysis of linear time invariant systems, and use convolution to determine the response of linear systems to arbitrary inputs.	2	1͵2
3	Getting knowledge about Transform signals in their Fourier Series Expansion forms	2͵3	1͵2
4	Getting knowledge about Use Continuous Time Fourier transform to analyze and synthesize continuous time signals and systems	3	1͵2
5	Getting knowledge about Use Discrete Time Fourier transform to analyze and synthesize discrete time signals and systems	3	1͵2
6	Getting knowledge about Analyze discrete time systems using unilateral Z-transform.	4	1͵2
7	Getting knowledge about Analyze continuous time systems using unilateral Laplace transform	4	1͵2
8	Getting knowledge about Use mathematical software like MATLAB to analyze and simulate signals and LTI systems.	5	1͵2

PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.

Work Load Details

#	Type of Work	Quantity	Time (Hour)	Work Load
1	Course Duration	14	4	56
2	Course Duration Except Class (Preliminary Study, Enhancement)	14	4	56
3	Presentation and Seminar Preparation	0	0	0
4	Web Research, Library and Archival Work	0	0	0
5	Document/Information Listing	0	0	0
6	Workshop	0	0	0
7	Preparation for Midterm Exam	1	11	11
8	Midterm Exam	1	2	2
9	Quiz	0	0	0
10	Homework	0	0	0
11	Midterm Project	0	0	0
12	Midterm Exercise	0	0	0
13	Final Project	0	0	0
14	Final Exercise	0	0	0
15	Preparation for Final Exam	1	20	20
16	Final Exam	1	2	2
				147