Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
5EEE 301SIGNALS AND SYSTEMS3+0+03514.09.2021

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS E.
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course Understanding the fundamental characteristics of signals and systems. Understanding signals and systems in terms of both the time/space and transform domains, taking advantage of the complementary insights and tools that these different perspectives provide. Development of the mathematical skills to solve problems involving convolution, filtering, and sampling.
Course Content Representation of signals and systems. Classification of signals and systems. Linear time-invariant systems: Impulse response, convolution. Applications of Laplace transform to system analysis. Discrete-time systems and Z-transform. Fourier analysis of continuous-time signals and systems. Fourier analysis of discrete-time signals and systems.Sampling theory. Introduction to filtering.
Course Methods and Techniques
Prerequisites and co-requisities ( EEE 285 )
Course Coordinator Asist Prof. Serkan ÖZBAY
Name of Lecturers Associate Prof.Dr. SERKAN ÖZBAY
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Schaum’s Outlines of Theory and Problems of Signals and Systems Hwei P. Hsu
Course Notes Signals and Systems
Alan V. Oppenheim, Alan S. Willsky
Second Edition, Prentice Hall

Course Category
Mathematics and Basic Sciences %40
Engineering %40
Engineering Design %20
Social Sciences %0
Education %0
Science %0
Health %0
Field %0

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 2 % 60
Final examination 1 % 40
Total
3
% 100

 
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 2 20 40
Final examination 1 30 30
Total Work Load   Number of ECTS Credits 5 154

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 A comprehensive understanding of signals and systems
2 A comprehensive understanding of linear time-invariant systems and their representations
3 A comprehensive understanding of the Laplace transform
4 A comprehensive understanding of the z-transform
5 A comprehensive understanding of the Fourier representation of signals in all its forms, discrete and continuous
6 A basic understanding of sampling theory
7 A first introduction to filtering

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Representation of signals and systems Reading related lecture notes
2 Classification of signals and systems Reading related lecture notes
3 Linear time-invariant systems Reading related lecture notes
4 Impulse response Reading related lecture notes
5 Discrete- and continuous-time convolution Reading related lecture notes
6 Laplace transform Reading related lecture notes
7 Applications of Laplace transform to system analysis Reading related lecture notes
8 Difference equations Reading related lecture notes
9 Z-transform Reading related lecture notes
10 Applications of Z-transform to system analysis Reading related lecture notes
11 Fourier analysis of continuous-time signals and systems Reading related lecture notes
12 Fourier analysis of discrete-time signals and systems Reading related lecture notes
13 Introduction to filtering Reading related lecture notes
14 Sampling theory Reading related lecture notes

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
All 5 3 4 1 1 1 1 1 1 1
C1 5 3 4 1 1 1 1 1 1 1
C2 5 3 4 1 1 1 1 1 1 1
C3 5 3 4 1 1 1 1 1 1 1
C4 5 3 4 1 1 1 1 1 1 1
C5 5 3 4 1 1 1 1 1 1 1
C6 5 3 4 1 1 1 1 1 1 1
C7 5 3 4 1 1 1 1 1 1 1

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  https://obs.gantep.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=337722&lang=en