COURSE INFORMATION Course Title: DIGITAL SIGNAL PROCESSING

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 336	C	6	3	0	0	3	6

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	Prof.Dr. Bekir Karlik bkarlik@epoka.edu.al
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Prof.Dr. Bekir Karlik bkarlik@epoka.edu.al , Thursday, 13:00 - 14:00
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	M.Sc. Stela Lila slila@epoka.edu.al
Language:	English
Compulsory/Elective:	Elective
Study program: (the study for which this course is offered)	Bachelor in Computer Engineering (3 years)
Classroom and Meeting Time:
Teaching Assistant(s) and Office Hours:	NA
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:	Students are expected to attend classes regularly. In case of missing an in-lab activity a student should perform additional work submitted to the instructor within a week after a class was missed.
Course Description:	Digital signal processing concepts spanning from digital filters, to application of Fourier theory for k-space and Z-space filtering. Classic filters and Bessel, Butterworth, and Chebyshev k-space filters. Applications provided through computer implementation of the concepts.
Course Objectives:	• To introduce students basic techniques in designing and implementing digital signal processing. • To learn basic methods of spectral analysis. • To explore the data communication systems. • To teach students to design digital filters

BASIC CONCEPTS OF THE COURSE

1	Basics of Digital Signal Processing
2	Discrete Fourier Transform
3	Fast Fourier Transform Algorithms
4	Correlation Analysis
5	Wavelet transform
6	Discrete Time Systems
7	The Z-transform
8	Modulation and demodulation
9	Digital Communication Systems
10	Digital Filters

COURSE OUTLINE

Week	Topics
1	Introduction to Digital Signal Processing
2	Sampling and Quantization, Kotelnikov / Nyquist–Shannon sampling theorem
3	Amplitude, phase, frequency. Periodic signals, aliasing
4	Properties of the Fourier Transform
5	Digital Fourier transform
6	Fast Fourier Transform algorithms
7	Correlation Analysis Cross Correlation and Autocorrelation
8	Midterm Exam
9	Wavelet transform
10	Types of wavelets
11	Discrete Time Systems Filter classification in the frequency domain, FIR and IIR filters. Transfer function, Impulse Response, Convolution
12	The z-transform and Design of digital filters by windowing
13	Amplitude and Angle Modulation. Quadrature modulation. Deviation. Spectral characteristics
14	Digital Communication Systems

Prerequisite(s):	- Signal and Systems - Math and Linear Algebra
Textbook(s):	Richard G. Lyons. Understanding Digital Signal Processing, Third Edition, Pearson Education, Inc, 2012. p.667. ISBN-13: 978-0-13-702741-5, ISBN-10: 0-13-702741-9 Karlik Bekir, DSP Lecture notes, 2024
Additional Literature:	A. V. Oppenheim and R. W. Schafer. Discrete-Time Signal Processing (Prentice-Hall Signal Processing Series) 3rd Edition, 2021. p.861, ISBN-13: 978-0131988422, ISBN-10: 0131988425 Dick Blandford, John Parr. Introduction to Digital Signal Processing. Pearson Education, Inc, 2013, ISBN: 978-0- 13-139406-3
Laboratory Work:	Yes
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	To understand digital signal and digital telecomminication systems
2	To learn fundementals of digital signals
3	To learn how to design digital filters
4	To learn Fourier transform methods such as Discrete Fourier, Fast Fourier. Short Fourier etc.
5	To learn Wavelet transform methods
6	To learn Z-transform
7	To understand how to extract features from digital signals and manipulate them
8	To use programming of simulation techniques such as Matlab and Simulink tools
9	To implement some digital filters
10	To develop DSP applications completely themselves using professional tools

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Computer Engineering (3 years) Program
1	Engineering graduates with sufficient theoretical and practical background for a successful profession and with application skills of fundamental scientific knowledge in the engineering practice.	5
2	Engineering graduates with skills and professional background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations	5
3	Engineering graduates with the necessary technical, academic and practical knowledge and application confidence in the design and assessment of machines or mechanical systems or industrial processes with considerations of productivity, feasibility and environmental and social aspects.	5
4	Engineering graduates with the practice of selecting and using appropriate technical and engineering tools in engineering problems, and ability of effective usage of information science technologies.	5
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	5
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	5
8	Ability for effective oral and official communication skills in foreign language.	5
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	5
10	Engineering graduates with well-structured responsibilities in profession and ethics.	5
11	Engineering graduates who are aware of the importance of safety and healthiness in the project management, workshop environment as well as related legal issues.	5
12	Consciousness for the results and effects of engineering solutions on the society and universe, awareness for the developmental considerations with contemporary problems of humanity.	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	2	5
Midterm Exam(s)	1	25
Quiz	2	5
Laboratory	2	5
Final Exam	1	40
Attendance		5
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	3	48
Hours for off-the-classroom study (Pre-study, practice)	12	3	36
Mid-terms	1	10	10
Assignments	0	0	0
Final examination	1	20	20
Other	4	9	36
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6

CONCLUDING REMARKS BY THE COURSE LECTURER