Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
5EEM 305Signals and Systems3+0+034

Course Details
Language of Instruction Turkish
Level of Course Unit Bachelor's Degree
Department / Program Electrical and Electronics Engineering
Mode of Delivery Face to Face
Type of Course Unit Compulsory
Objectives of the Course To understand mathematical basics of signals, systems and transformations theoretically and to achieve information and ability on their applications.
Course Content A general view to signals and systems, vector spaces, signal types, system types, transformations, signals and transformations, system and transformations, system and frequency response, design analysis of signals and systems.
Course Methods and Techniques
Prerequisites and co-requisities ( EEM 204 or EEM 222 )
Course Coordinator Associate Prof.Dr. Süleyman Bilgin
Name of Lecturers Associate Prof.Dr. SÜLEYMAN BİLGİN
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Signal and systems, M.J.Roberts, 2004
Signal processing first, James H.McClellan,Ronald W.Schafer, Mark A.Yoder, 2003
Signal and systems, A.V. Oppenheim, A. S. Willsky, 1996
Signal and Systems, Hwei P.Hsu, Schaum´s outlines, 1995
Digital signal processing, John G.Proakis, Dimitris G.Manolakis, 2007 
[1] Signal and systems, M.J.Roberts, 2004
[2] Signal processing first, James H.McClellan,Ronald W.Schafer, Mark A.Yoder, 2003
[3] Signal and systems, A.V. Oppenheim, A. S. Willsky, 1996
[4] Signal and Systems, Hwei P.Hsu, Schaum´s outlines, 1995
[5] Digital signal processing, John G.Proakis, Dimitris G.Manolakis, 2007 
Signals and Systems with MATLAB® Applications Second Edition Steven T. Karris

Manolakis, Dimitris G., Applied digital signal processing: theory and practice, Cambridge University Press, 2011.

Course Category
Mathematics and Basic Sciences %40
Engineering %40
Engineering Design %20

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 % 30
Assignment 3 % 20
Final examination 1 % 50
Total
5
% 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 16 5 80
Assignments 1 10 10
Mid-terms 1 3 3
Final examination 1 3 3
Total Work Load   Number of ECTS Credits 5 138

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Comprehend signal aspects
2 Comprehend system aspects
3 Comprehend the obtaining of the system response
4 Comprehend transformation aspects
5 Comprehend transformations on continuous discrete and discrete continuous signals and systems


Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Vectors and Signal Spaces
2 Signals
3 Systems
4 Response of Linear time invariant systems
5 Time-Frequency analysis of periodic signals in continuous systems and Fourier series
6 Time-Frequency analysis of aperiodic signals in continuous systems and Fourier transformations
7 Fourier Analysis of periodic and aperiodic signals in discrete systems
8 Continuous systems and Laplace Transforms
9 Frequency response of continuous systems and analog filters
10 Sampling Theory
11 Discrete systems and Z-transformation
12 Frequwncy response of discrete systems and digital filters
13 Signals and Communication systems
14 Signals and Control Systems


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

bbb


https://obs.akdeniz.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=2429177&lang=en