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Principles of Telecommunications 2

Code: EEC0023     Acronym: FTEL2

Keywords
Classification Keyword
OFICIAL Telecommunications

Instance: 2014/2015 - 1S Ícone do Moodle

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

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MIEEC 55 Syllabus 4 - 6 56 162
Mais informaçõesLast updated on 2015-01-12.

Fields changed: Components of Evaluation and Contact Hours, Fórmula de cálculo da classificação final

Teaching language

Portuguese

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

Spread spectrum.
DMT and OFDM.
Information Theory. Source coding. Channel coding. Channel Capacity.

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 lecture classes;

- Exercise solving;

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 60,00
Participação presencial 0,00
Teste 40,00
Total: 100,00

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=0,4 x M + 0,6 x E, in which M denotes the midterm and E is the final exam. To pass the course the score in each of the test must not be below 50%.

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.

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