Checking date: 04/06/2021

Course: 2023/2024

Communication Theory
Dual Bachelor Data Science and Engineering - Telecommunication Technologies Engineering (Plan: 456 - Estudio: 371)


Department assigned to the subject: Signal and Communications Theory Department

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
Statistics (First year, second semester) Systems and Circuits (First year, second semester) Linear Systems (Second year, first semester)
Knowledge and management of the basic concepts and techniques for digital and analog communication such as noise, modulation and demodulation processes in digital communications, the information theory as a tool to establish the limits in communication systems and the fundamental techniques for analog communications. Therefore, the subject has the goal of allowing the student to acquire the following general competences: - Knowledge and development of technical skills required in the telecommunications field with emphasis in the analysis and mathematical characterization of a communication system. The same way than the following specific competences: - Acquisition of the knowledge of mathematics and statistics that will be used as a tool to solve engineering problems in the context of communication systems. (PO a, PO e, and PO k) - The ability to design and conduct experiments, as well as to analyze and interpret data and results. (PO b) - Design of a communication system with the constraints given by its critical parameters such as cost, consume of power, bandwidth, transmission rate, and complexity. (PO c) - Ability of effective communication of information, in speech and in writing. (PO g)
Skills and learning outcomes
Description of contents: programme
Introduction - Definition of a communication system - Functional elements of a communication system - Digital and analog communication systems - Design of a communication systems - Objectives and organization of the course Noise in communication systems - Review: probability, random variables, and random processes - Random processes in the frequency domain - Statistical model for thermal noise Analog modulations - Introduction to the modulation concept - Amplitude modulations - Angle modulations - Effect of noise in analog modulations Modulation and detection in gaussian channels - Introduction to digital communication systems - Geommetric representation of signals - Digital communication model - Encoder - Modulator - Demodulator - Detector Basic bounds in digital communications - Probabilistic models for information sources - Probabilistic models for channels - Quantitative information measurements - Channel capacity
Learning activities and methodology
Three teaching activities are proposed: Theoretical classes, exercise classes and laboratory exercises. THEORETICAL CLASS AND EXAMPLES (3.5 ECTS) The theoretical class will be given in the blackboard, with slides or by any other means to illustrate the concepts learnt. In these classes the explanation will be completed with examples. In these sessions the student will acquire the basic concepts of the course. It is important to highlight that these classes require the initiative and the personal and group involvement of the students (there will be concepts that the student himself should develop). CLASS EXERCISES (1.5 ECTS) Before the exercise class, the student will have available the exercise formulation. The student should solve the exercises proposed in order to assimilate the concepts obtained in the theoretical class in a more complex environment and to self-evaluate his knowledge. In the exercise class one student will have to present the exercise proposed solving and the rest of students should give feedback on this particular problem solving. This will encourage the opinion exchange between students and the professor and among students LABORATORY EXERCISES (1 ECTS) Basic concepts learnt during the course are applied in the laboratory and by means of simulation. The student should participate actively the exercise implementation; the level of the student involvement in this work grows from the first exercise to the last one where the student will be encouraged to propose and solve the problem.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

Basic Bibliography
  • Amos Lapidoth. A Foundation in Digital Communication. Cambridge University Press. 2009
  • J. G. Proakis, M. Salehi. . Communication Systems Engineering, 2nd edición. Prentice-Hall. 2002
  • S. Haykin. Communication Systems, 4th Edition. Wiley. 2001
Additional Bibliography
  • A. Artés, F. Pérez, J. Cid, R. López, C. Mosquera, F. Pérez. Comunicaciones Digitales. Pearson Educación. 2007
  • Carlson, A.B. New York, , 1986.. Communication Systems. McGraw-Hill. 1986
  • J. Proakis. Digital Communications, 3rd. McGraw-Hill. 1995
  • T. M. Cover and J.A. Thomas. Elements of Information Theory. Wiley. 2006

The course syllabus may change due academic events or other reasons.