Course Title Code Semester L+P Hour Credits ECTS
Digital Signal Processing * EEE   409 7 3 3 5

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assoc.Prof.Dr. Sami ARICA
Doç. Dr.SAMİ ARICA1. Öğretim Grup:A
Doç. Dr.SAMİ ARICA2. Öğretim Grup:A
Analysis and representation methods and techniques for digital (discrete) signals and systems are introduced.
Sampling and reconstruction. Introduction to discrete time signals and systems. Linear time invariant (LTI) systems; convolution sum. Discrete transforms; DFT, FFT, DCT, DCT. Z-transform and applications. Transform domain analysis of LTI systems. Finite impulse response digital filter design. Infinite impulse response digital filter design. Digital Signal Processors. Digital signal processing applications.

Learning Outcomes

Course's Contribution To Program
NoProgram Learning OutcomesContribution
Has capability in those fields of mathematics and physics that form the foundations of engineering.
Grasps the main knowledge in the basic topics of electrical and electronic engineering.
Comprehends the functional integrity of the knowledge gathered in the fields of basic engineering and electrical-electronics engineering.
Identifies problems and analyzes the identified problems based on the gathered professional knowledge.
Formulates and solves a given theoretical problem using the knowledge of basic engineering.
Has aptitude for computer and information technologies
Knows English at a level adequate to comprehend the main points of a scientific text, either general or about his profession, written in English.
Has the ability to apply the knowledge of electrical-electronic engineering to profession-specific tools and devices.
Has the ability to write a computer code towards a specific purpose using a familiar programming language.
Has the ability to work either through a purpose oriented program or in union within a group where responsibilities are shared.
Has the aptitude to identify proper sources of information, reaches them and uses them efficiently.
Becomes able to communicate with other people with a proper style and uses an appropriate language.
Internalizes the ethical values prescribed by his profession in particular and by the professional life in general.
Has consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in.

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Sampling and reconstruction. Textbook reading/Problem solving.
2 Discrete time signals and systems: classifications and properties. Textbook reading/Problem solving.
3 Linear time invariant systems: convolution sum. Textbook reading/Problem solving.
4 LTI-causal systems described by linear constant coefficient difference equations. Textbook reading/Problem solving.
5 Discrete transforms: DFT, FFT, DCT and DST. Textbook reading/Problem solving.
6 Discrete transforms: DFT, FFT, DCT and DST (continued). Assigment I. Textbook reading/Problem solving.
7 Z-transform and applications. Textbook reading/Problem solving.
8 Midterm Exam. I. Textbook reading/Problem solving.
9 Z-transform and applications (continued). Textbook reading/Problem solving.
10 Transform domain analysis of LTI systems. Textbook reading/Problem solving.
11 Transform domain analysis of LTI systems (continued). Textbook reading/Problem solving.
12 Midterm Exam. II. Finite impulse response digital filter design. Assigment II. Textbook reading/Problem solving.
13 Infinite impulse response digital filter design. Assigment III. Textbook reading/Problem solving.
14 Digital Signal Processors. Textbook reading/Problem solving.
15 Digital signal processing applications. Assigment IV. Textbook reading/Problem solving.
16-17 Final Exam. Textbook reading/Problem solving.

Recommended or Required Reading
Additional Resources
Mathematical Principles of Signal Processing. 2002. Pierre Bremaud. Springer-Verlag, New York.