Checking date: 20/01/2025


Course: 2024/2025

Communication Theory
(13412)
Bachelor in Telematics Engineering (Plan: 447 - Estudio: 215)


Coordinating teacher: FERNANDEZ-GETINO GARCIA, MARIA JULIA

Department assigned to the subject: Signal and Communications Theory Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Statistics (First year, second semester) Systems and Circuits (First year, second semester) Students are also expected either to have completed or to be simultaneously enrolled at Linear Systems (Second year, first semester)
Objectives
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. - The ability to design and conduct experiments, as well as to analyze and interpret data and results. - Design of a communication system with the constraints given by its critical parameters such as cost, consume of power, bandwidth, transmission rate, and complexity. - Ability of effective communication of information, in speech and in writing.
Skills and learning outcomes
CB1: Students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study CB2: Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. CG3: Knowledge of basic and technological subject areas which enable acquisition of new methods and technologies, as well as endowing the technical engineer with the versatility necessary to adapt to any new situation. ECRT5: Ability to weigh the advantages and disadvantages of different alternative technologies for development and implementation of communication systems, from the point of view of signal space, perturbations and noise and analog and digital modulation. RA1: Knowledge and Understanding.  Knowledge and understanding of the general fundamentals of engineering, scientific and mathematical principles, as well as those of their branch or specialty, including some knowledge at the forefront of their field. RA2: Analysis. Graduates will be able to solve engineering problems through an analysis process, identifying the problem, recognising specifications, establishing different methods of resolution, selecting the most appropriate one and implementing it correctly. They must be able to use various methods and recognize the importance of social constraints, human health, safety, the environment, as well as commercial constraints. RA5: Applications. Graduates will have the ability to apply their knowledge and understanding to solve problems, conduct research, and design engineering devices or processes. These skills include knowledge, use and limitations of materials, computer models, process engineering, equipment, practical work, technical literature and information sources. They must be aware of all the implications of engineering practice: ethical, environmental, commercial and industrial.
Description of contents: programme
Noise in communication systems: stochastic processes for signal representation; white noise; signal to noise ratio. Modulation and detection in Gaussian channels: information modulation; demodulation and detection; error probability and BER; introduction to channel coding. Fundamental limits in digital communications: probabilistic channel models; digital channels; Gaussian channels; source coding. Analog modulation fundamentals: linear and angular modulations; signal to noise ratio in analog communications.
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

Calendar of Continuous assessment


Extraordinary call: regulations
Basic Bibliography
  • A. Artés, F. Pérez González, J. Cid, R. López, C. Mosquera, F. Pérez Cruz. Comunicaciones Digitales. Pearson Educación, 2007.
  • Haykin, S.. Communication Systems. 4ª edición, New York, Willey, 2001.
  • J. G. Proakis, M. Salehi. Communication Systems Engineering. New York, Computer Science Press, 1990..
Additional Bibliography
  • Carlson, A.B.. Communication Systems. New York, McGraw-Hill, 1986..

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