Principles of Telecommunications 2

Code:

EEC0023

Acronym:

FTEL2

Keywords
Classification	Keyword
OFICIAL	Telecommunications

Instance: 2013/2014 - 1S

Active?	Yes
E-learning page:	https://moodle.fe.up.pt/
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	64	Syllabus (Transition) since 2010/2011	4	-	6	63	162
		Syllabus	4	-	6	63	162

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

Shannon Theorems for source coding and channel coding. Design of compression algorithms. Universal compression. Coding of analog sources. Channel coding and modulation. Gaussian channels. Capacity calculation. Communication with feedback. Linear codes. Advanced coding schemes. Medium access. Spread spectrum.

Mandatory literature

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

Complementary Bibliography

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

Teaching methods and learning activities

- Theory and concepts are presented in lecture classes;

- Exercise solving and practical experimentation will occur in laboratory classes;

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	50,00
Participação presencial	0,00
Teste	50,00
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.