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)	NA
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Dr. Carlo Ciulla cciulla@epoka.edu.al , Wednesdays 10:00 am - 12:00 pm
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Elective
Study program: (the study for which this course is offered)	Bachelor in Electronics and Digital Communication Engineering (3 years)
Classroom and Meeting Time:
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:	mandatory
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:

BASIC CONCEPTS OF THE COURSE

1	Filters
2	Digital Systems
3	Transforms
4	Fourier Convolution Theorem
5	Extension of the Fourier Convolution Theorem to Z space
6	Bessel, Butterworth and Chebychev Filters
7	Sampling
8	Data Analysis
9	Software Testing
10	Data Visualization

COURSE OUTLINE

Week	Topics
1	Digital Filters: High pass, low pass, band pass
2	Bessel Filter
3	Butterworth Filter
4	Chebyschev Filter
5	Recall on Fourier, Z, and Laplace transformations
6	k-space analysis
7	First Order Derivative on an Image
8	Midterm
9	Image Interpolation
10	Gaussian Filter
11	Fourier Convolution Theorem
12	Whittaker-Shannon Interpolation Formula
13	programming
14	programming

Prerequisite(s):	mathematics, programming
Textbook(s):	Digital Signal Processing: Principles, Algorithm and Applications, 4th edition, Proakis and Manolakis.
Additional Literature:	Wikipedia
Laboratory Work:	Yes
Computer Usage:	Yes
Others:	No

COURSE LEARNING OUTCOMES

1	Digital Filters Programming
2	Classic Filters
3	Ancient Filters
4	Fourier transform
5	Laplace transform
6	Z transform
7	pulse transfer function
8	sampling
9	interpolation
10	First order derivative of an image

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

No	Program Competencies	Cont.
Bachelor in Electronics and Digital Communication 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	5 Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions. 4	5
6	6 Ability of identifying the potential resources for information or knowledge regarding a given engineering issue. 4	5
7	The abilities and performance to participate multi-disciplinary groups together with the effective oral and official communication skills and personal confidence.	3
8	Ability for effective oral and official communication skills in foreign language.	4
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology	4
10	10 Engineering graduates with well-structured responsibilities in profession and ethics. 2	4
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.	4
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.	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	2	5
Midterm Exam(s)	1	20
Project	1	15
Quiz	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)	16	1	16
Mid-terms	1	18	18
Assignments	4	7	28
Final examination	1	30	30
Other	1	10	10
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6

CONCLUDING REMARKS BY THE COURSE LECTURER

Course Useful to newly graduates because of the acquisition of practical skills