COURSE INFORMATION Course Title: DIGITAL MULTIMEDIA

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 312	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:	M.Sc. Xhoena Duro xpolisi@epoka.edu.al , TBA
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:	YES
Course Description:	The course offers to improve your ability to accurately produce a multimedia internet page, and to effectively incorporate image, audio, animation, and text media into the multimedia internet page. Also, to implement basic interactivity in a multimedia Internet page.
Course Objectives:	The aim of this course is to introduce the student to fundamental techniques and concepts used in computational imaging and multimedia. Upon completion of this course, a successful student should be able to design and implement programs that deal with image, video, and audio data

BASIC CONCEPTS OF THE COURSE

1	Image analysis
2	Video analysis
3	Sound analysis

COURSE OUTLINE

Week	Topics
1	Introduction to Multimedia: Historical overview, multimedia representations, software tools, authoring tools. MS Chapter 1
2	Image Histograms and applications – DIP Ch 4
3	Point Operations –DIP Ch 5 § Image Formats DIP Ch 2 or MS Ch 3
4	Image Filters & Convolution - DIP Ch 6
5	Edges and Contours – DIP Ch 7
6	Edges and Corners – DIP Ch 7 & 8 § Perceptual Grouping: Curves and Hough transform - DIP Ch 9
7	Binary Image Analysis and Morphology – DIP Ch 10 § Region Descriptors – DIP Ch 11
8	Midterm
9	Color Images, Color spaces: Color spaces for TV and Video; Color spaces for Printing, Colorimetric color spaces. DIP Ch 12 or MS Ch 4 § Color quantization – DIP Ch 12
10	Fourier Transform, Discrete Fourier Transform, Discrete Cosine Transform – DIP Ch 13 & 14
11	Video Compression: Motion Compensation, H.261 standard – MS Ch 8
12	Lossless compression: Variable length coding, Dictionary-based coding, LZW compression – MS Ch 6
13	Lossy Compression, Image Compression standards, JPEG, JPEG 2000 - MS Ch 7 § Concepts of Video – MS Ch 3
14	Review

Prerequisite(s):	Linear algebra, basic probability and statistics. Java/Matlab Programming
Textbook(s):	W. Burger & M. Burge “Digital Image Processing”, Springer 2022, 3rd edition R. Parekh "Fundamentals of Image, Audio and Video Processing using Matlab" CRC press 2021, 1st edition
Additional Literature:	W. Burger & M. Burge “Digital Image Processing: An algorithmic introduction using Java”, Springer 978- 1-84628-379-6 - First Edition or Second Edition • P. Havaldar and G. Medioni “Multimedia Systems – Algorithms, Standards and Industry Practices”, Cengage Learning – 978-1-4188-3594-1 (recommended for some topics – not required)
Laboratory Work:	Matlab/Java programming
Computer Usage:	yes
Others:	No

COURSE LEARNING OUTCOMES

1	This is a basic undergraduate-level class that covers the fundamentals of image processing, computer vision, and multimedia computing
2	The students learn about the basics of image, video, and audio formation and processing, the basics of multimedia compression and representation.
3	The students will be exposed to dealing with image and video data through programming assignments using Java and Matlab.

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	2
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.	2
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.	2
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.	3
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	2
6	Ability of identifying the potential resources for information or knowledge regarding a given engineering issue.	2
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.	1
9	Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology.	1
10	Engineering graduates with well-structured responsibilities in profession and ethics.	1
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.	1
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.	1

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	35
Project	1	10
Lab/Practical Exams(s)	2	5
Case Study	1	10
Final Exam	1	35
	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	5	80
Hours for off-the-classroom study (Pre-study, practice)	16	2	32
Mid-terms	1	11	11
Assignments	7	1	7
Final examination	1	20	20
Other			0
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6

CONCLUDING REMARKS BY THE COURSE LECTURER

To be completed at the end of the semester