COURSE INFORMATION Course Title: DIGITAL COMMUNICATION SYSTEMS

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
ECE 512	B	1	3	2	0	4	7.5

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:	Assoc.Prof.Dr. Blerina Zanaj bzanaj@epoka.edu.al
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:	Compulsory
Study program: (the study for which this course is offered)	Master of Science in Electronics and Communication Engineering
Classroom and Meeting Time:
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:	N/A
Course Description:	The Digital Communications Systems will allow the students to get a very deep knowledge about the different problems that arise during the transmissions and how those are overcome. They will get good knowledge about the signaling how it is performed in GSM systems. They will get good knowledge about the signal spectrum and the limitation into the power transmitted in different frequency bands. They will study the GSM system in particular with all its generations and PSTN. They will acquire good knowledge about source coding, channel coding and multiplexing of different transmission as well about the digital modulation schemes.
Course Objectives:	To acquire good knowledge about Telecommunication and the systems where digital communication is applied. The issues and problems that those systems holds and the modulation techniques and protocols used in such systems.

BASIC CONCEPTS OF THE COURSE

1	The study of the physical layer and the digital data transmissions.
2	The study of A/D conversion or the channel encoding.
3	The channel coding and different algorithms applied for error detection and corrections.
4	Channel capacity, the bandwidth, the Path Loss coefficient and frequency and distance.
5	PST, GSM system and signaling.
6	Power Spectrum Density evaluation and the masks.

COURSE OUTLINE

Week	Topics
1	Introduction to Digital Transmission.
2	Basis of Pulse Code Modulation.
3	PCM System Operation, Line Code. Signal-to-Gaussian-Noise Ratio on PCM Repeatered Lines
4	Deterministic and Random Signal Analysis,
5	Digital Modulation Schemes, Optimal Detection and Error Probability for Band-Limited Signaling.
6	Carrier and Symbol Synchronization, Symbol Timing Estimation
7	Mathematical Models for Information Sources, Channel Models and Channel Capacity.
8	MIDTERM EXAM
9	Linear Block Codes, Optimum Soft Decision Decoding of Linear Block Codes
10	Modified Linear Block Codes, Reed-Solomon Codes.
11	Trellis and Graph Based Codes.
12	Signal Design for Band-Limited Channels, Linear Equalization.
13	Fading Channels I: Characterization and Signaling.
14	Fading Channels II: Capacity and Coding.

Prerequisite(s):	Some knowledge about Information Theory and Computer Networks.
Textbook(s):	"Fundamentals of Telecommunications", Roger L. Freeman. Wiley & Sons, Inc 1999. "The Telecommunications Handbook", Ed. Kornel Terplan, Patricia Morreale, CRC Press LLC 2000. "Digital Communications", 5th edition,John G. Proakis,Masoud Salehi, ISBN 978-0-07-295716-7,MHID 0-07-295716-6.
Additional Literature:
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	To acquire some good knowledge about telecommunication systems.
2	To learn more about the channel coding algorithms and purposes.
3	To learn about some modulation techniques and their velocity and security in data transmission.

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

No	Program Competencies	Cont.
Master of Science in Electronics and Communication Engineering 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.	4
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	4
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.	3
5	Ability of designing and conducting experiments, conduction data acquisition and analysis and making conclusions.	3
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.	3
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	Engineering graduates with well-structured responsibilities in profession and ethics.	3
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.	3
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	30
Quiz	2	5
Final Exam	1	50
	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)	14	3.5	49
Mid-terms	1	34.5	34.5
Assignments	2	9	18
Final examination	1	38	38
Other			0
Total Work Load:			187.5
Total Work Load/25(h):			7.5
ECTS Credit of the Course:			7.5

CONCLUDING REMARKS BY THE COURSE LECTURER

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