Digital Communications

Code:

M.EEC044

Acronym:

CDIG

Keywords
Classification	Keyword
OFICIAL	Telecommunications

Instance: 2023/2024 - 1S

Active?	Yes
Responsible unit:	Department of Electrical and Computer Engineering
Course/CS Responsible:	Master in Electrical and Computer Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.EEC	48	Syllabus	1	-	6	39	162

Teaching language

English

Objectives

The main goal of this class is to teach students the fundamental principles of information transmission over noisy channel and show how they are applied in the design of the basic components of contemporary communication systems. For this purpose, we present with some detail the main results of information theory, namely the source coding and channel coding theorems, while confronting the student with practical coding schemes and their performance.

Learning outcomes and competences

We expect the students to develop the following competences:

- familiarity with the basic components of a communications systems;

- detailed knowledge of the fundamental limits of communication and the most common coding algorithms;

- ability for abstract reasoning and understanding of the mathematical models based upon which transmitters and receivers are designed;

- sensitivity to the problems raised by noise and the most relevant performance metrics for the analysis of communication systems;

- ability to apply the acquired knowledge in solving complex engineering problems.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Some maturity in mathematical analysis, linear algebra and probability theory, as well as a first contact with signal theory and digital processing.

Program

Introduction to Information Theory
Error-Correcting Codes
Spread spectrum techniques
Introduction to OFDM and MIMO
Communication in channels with multi-path and fading

Mandatory literature

Simon Haykin; Communication systems. ISBN: 0-471-30584-7

Complementary Bibliography

John G. Proakis; Digital Communications. ISBN: 0-07-113814-5
Thomas M. Cover, Joy A. Thomas; Elements of information theory. ISBN: 0-471-06259-6
Sílvio A. Abrantes; Códigos correctores de erros em comunicações digitais. ISBN: 978-972-752-127-2

Teaching methods and learning activities

Theory and concepts are presented in classes followed for exercise solving. Also some typical problems are discussed and solved. Students will be given a list of problems to solve outside class.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	75,00
Participação presencial	0,00
Teste	25,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	106,00
Frequência das aulas	56,00
Total:	162,00

Eligibility for exams

Not to be absent more than the allowed number of times stated in "Normas de Avaliação".

Calculation formula of final grade

CF=max(0,25 x M + 0,75 x E), in which M denotes the midterm and E is the final exam.

Special assessment (TE, DA, ...)

Oral or written exam. 

Observations

The following students are not required to attend class: military, working or equivalent students and those who have attained frequency in the preceding academic year.