Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
5EEM341Signals And Systems3+0+035

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Electrical-Electronics Engineering
Mode of Delivery Face to Face
Type of Course Unit Compulsory
Objectives of the Course Teaching the types and typical specifications of signals and systems, time and frequency domain analysis of LTI systems to the students.
Course Content Classification and properties of signals, continuous-time and discrete-time signals, classification and properties of systems, properties of linear time-invariant (LTI) systems, convolutions of continuous-time and discrete-time signals, differential and difference equations of LTI systems, impulse and step responses of LTI systems, Laplace transform, Fourier transforms, Fourier series, z-transform, block diagrams of continuous-time and discrete-time systems
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Asist Prof.Dr. Murathan ALPAY
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Schaum's Outline of Signals and Systems, Hwei P. Hsu, 3rd Ed., McGraw Hill LLC
Signals & Systems, 2nd Ed., Alan V. Oppenheim, Alan S. Willsky, S. Hamid Nawab, Prentice Hall
Lecture

Course Category
Mathematics and Basic Sciences %70
Engineering %20
Engineering Design %10

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
Mid-terms 1 % 20
Assignment 2 % 20
Final examination 1 % 0
Total
4
% 40

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 3 42
Mid-terms 1 2 2
Final examination 1 2 2
Total Work Load   Number of ECTS Credits 3 88

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Being able to classificate the signals and systems according to their properties
2 Being able to determine the properties of linear and time-invariant systems.
3 Being able to make time domain analysis of linear and time-invariant systems that are modelled with derivative and difference equations
4 Being able to make frequency domain analysis of linear and time-invariant systems
5 Being able to use transforms and inverse transforms


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Classification and properties of the signals
2 Continuous time signals and discrete time signals
3 Classification and properties of the systems
4 Properties of linear and time-invariant systems
5 Convolutions of continuous-time and discrete-time signals
6 Differential and difference equations of linear and time-invariant systems
7 Midterm Exam
8 Block diagrams of systems
9 Laplace transform
10 Continuous-time Fourier transforms
11 Continuous-time Fourier series
12 Discrete-time Fourier transforms and discrete-time Fourier series
13 Discrete Fourier Transform
14 Z-transform


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P99
All 5 4 3 2 1 1 1 1 1 1 1 1
C1 5 4 3 2 1 1 1 1 1 1 1 1
C2 5 4 3 2 1 1 1 1 1 1 1 1
C3 5 4 3 2 1 1 1 1 1 1 1 1
C4 5 4 3 2 1 1 1 1 1 1 1 1
C5 5 4 3 2 1 1 1 1 1 1 1 1

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