DIGITAL SIGNAL PROCESSING PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
EEM415	DIGITAL SIGNAL PROCESSING	7	3	3	6

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. PERİ GÜNEŞ
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	To teach the objective of this course is to introduce digital signal procesing techniques and their applications. Following the description of the properties of discrete-time signals and systems, frequency-domain signal analysis tools, discrete-time processing of continuous-time signals, z-transform, frequency-domain analysis of linear and timeinvariant systems, and digital filter design techniques will be investigated. After taking the course, students are expected to have an understanding of the core concepts related to the transform domain analysis of discrete-time signals and systems.
Contents of the Course Unit:	Introduction to discrete-time systems, and digital signal processing. Discrete time linear systems, difference equations, discrete convolution, stability. Discrete-time Fourier transform,analog-to-digital and digital-to-analog conversion, örnekleme. ztransform.Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Digital filter design and implementation. Fundamentals of statistical signal processing. Random processes and power spectrum. Wiener filter. Fundamentals of adaptive filtering. Steepest descent and LMS algorithms.Fundamentals of time-frequency analysis. Short-time-Fourier Transform (STFT). Spectrogram. Introductionto timescale analysis and wavelet transforms

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
I. Can express the analysis of discrete time signals and systems in the time domain, II. Express the analysis of discrete time signals and systems in the frequency domain, III. Express the analysis of discrete time signals and systems in the transfer zone, IV. Can apply the design of discrete time linear systems.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Time domain analysis of discrete-time signal and discrete-time linear time invariant (LTI) systems.	-
2	-	Frequency domain analysis of discrete-time signal and discrete-time LTI systems. Discrete-time Fourier transform (DTFT). Sampling	-
3	-	z-transform and inverse z-transform.	-
4	-	Transfer zone analysis using discrete-time signal and discrete-time LTI systems using ztransform	-
5	-	Transfer function and stability for discrete-time LTI systems. Discrete Fourier	-
6	-	AFD and its properties. Circular convolution, Fast Fourier Transform (FFT)	-
7	-	FIR filter design and implementation. Structures for implementation	-
8	-	MID-TERM EXAM	-
9	-	IIR filter design and implementation. Overlap-add and overlap-save methods.	-
10	-	Basics of statistical signal processing. Random processes and power spectral density.	-
11	-	Basics of adaptive filters. Steepest descent and LMS algorithms	-
12	-	Basics of time-frequency analysis	-
13	-	Short-time Fourier transform (STFT). Spectrogram	-
14	-	Introduction to time-scale transformations and wavelet transforms.	-
15	-	Introduction to time-scale transformations and wavelet transforms.	-
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING

Sayısal Sinyal İşleme, John G. Proakis, Nobel Akademik Yayıncılık, 2013 Sayısal İşaret İşleme, Monson H. Hayes, Nobel Akademik Yayıncılık, 2006 “Bilgisayar Uygulamalarıyla Sayısal İşaret İşleme”, Ahmet H. Kayran ve Ender M. Ekşioğlu,Birsen Yayınevi, 2010. Discrete-Time Signal Processing”, Oppenheim and Schafer, Prentice-Hall, 3rd edition, 2010 “Essentials of Digital Signal Processing Using MATLAB”, Vinay K. Ingle and John G. Proakis, 3rd Edition, Cengage Learning, 2012 “Digital Signal Processing, Principles, Algorithms and Applications”, Proakis and Manolakis, Prentice-Hall, 2007 “Digital Signal Processing : a computer-based approach”, Sanjit Mitra, Mc Graw-Hill, 2011.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Explains the fundamental engineering concepts of electrical and electronics science and relates them to the groundwork of electrical and electronics science.					4

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Uses theoretical and practical knowledge coming from electrical and electronics sciences, to find solutions to engineering problems.			2

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Determines the components and the underlying process of a system and designs an appropriate model related to electrical and electronics under reasonable constraints.					4
2	Designs a model related to electrical and electronics with modern techniques.			2

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Determines, detects and analyzes the areas of electrical and electronics engineering science applications and develops appropriate solutions.	0
2	Identifies, models and solveselectrical and electronics engineering problems by applying appropriate analytical methods.			2
3	Determines and uses the necessary electrical and electronics engineering technologies in an efficient way for engineering applications.	0

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Possess the responsibility and ability to design and conduct experiments for engineering problems by collecting, analyzing and interpreting data.	0
2	Possess the ability to conduct effective individual study.					4
3	Takes responsibility as a team work and contributes in an effective way.					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Monitors the developments in the field of electrical and electronics engineering technologies by means of books, internet and related journals and possess the required knowledge for the management, control, development and security of information technologies.			2
2	Develops positive attitude towards lifelong learning.					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Communicates effectively by oral and/or written form and uses at least one foreign language.	0
2	Possess sufficient consciousness about the issues of project management, practical applications and also environmental protection, worker's health and security.	0

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Possess professional and ethical responsibility and willingness to share it.				3
2	Possess sufficient consciousness about the universality of electrical and electronics engineering solutions and applications and be well aware of the importance of innovation.			2

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	4	5	20
Laboratory	0	0	0
Reading	3	5	15
Assignment (Homework)	3	5	15
Project Work	2	5	10
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	5	2	10
Final Exam	1	1	1
Preparation for the Final Exam	0	0	0
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	0	0	0
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	47	0	156