. "Communication theory"@en . . "9" . "Objectives and Contextualisation\nA communications system in general consists of the following blocks: source, source encoder, channel encoder, modulator, channel, demodulator, channel decoder, source decoder and recipient. During the Foundations of Communications course, the emphasis was placed on the study of the modulator, channel and demodulator. In this course, first of all, they will be remembered and some new aspects of modulation and demodulation will be seen, but above all the other blocks of the system will be studied in depth, paying special attention to the characterization of the sources at the level of Information theory, compression using source codes and correction of errors introduced by the channel through channel encoding.\n\nThe specific objectives are to:\n\nConsolidate the knowledge about modulations and demodulations, and describe some more advanced techniques than the previous courses.\nDimension communication systems from the point of view of probability of error (coding).\nAnalyze the flow of information throughout the communications system using the concepts of information theory.\nUnderstand the fundamental limits given by the theory of information.\nEncode fonts to reduce redundancy.\nBecome knowledgeable of the main methods of channel coding and its operating principles.\n\nCompetences\nApply deterministic and stochastic signal processing techniques to the design of communication subsystems and data analysis.\nCommunication\nDesign and dimension multiuser communication systems using the principles of communication theory under the restrictions imposed by the specifications and the need to provide a quality service.\nDevelop personal attitude.\nDevelop personal work habits.\nDevelop thinking habits.\nDraft, develop and sign projects in the field of telecommunications engineering that, depending on the speciality, are aimed at the conception, development or exploitation of telecommunication and electronic networks, services and applications.\nLearn new methods and technologies, building on basic technological knowledge, to be able to adapt to new situations.\nResolve problems with initiative and creativity. Make decisions. Communicate and transmit knowledge, skills and abilities, in awareness of the ethical and professional responsibilities involved in a telecommunications engineer's work.\nWork in a multidisciplinary group and in a multilingual environment, and communicate, both in writing and orally, knowledge, procedures, results and ideas related with telecommunications and electronics.\nWork in a team.\nLearning Outcomes\nAutonomously associate new knowledge and techniques that are adequate for conceiving, developing or exploiting telecommunication systems and services, with special emphasis on data transmission.\nBe able to analyse, encode, process and transmit multimedia information employing analogue and digital signal processing techniques.\nClassify the advantages and disadvantages of different technological alternatives for deploying or implementing communication systems in terms of digital source compression, channel coding and security mechanisms.\nCombine different technological alternatives to propose data transmission systems that are optimised for features of the application scenario.\nCommunicate efficiently, orally and in writing, knowledge, results and skills, both professionally and to non-expert audiences.\nCritically evaluate the work done.\nDescribe, develop, analyse and optimise the different blocks of a data transmission system.\nDevelop critical thinking and reasoning.\nDevelop curiosity and creativity.\nDevelop independent learning strategies.\nDevelop scientific thinking.\nDevelop the capacity for analysis and synthesis.\nDifferentiate and classify the main source coding and compression algorithms.\nDifferentiate the blocks and functionalities of a complete data transmission system.\nDiscuss and apply cryptography systems designed to improve the security of a communication system.\nDistinguish the fundamental parameters of a complete data transmission oriented communications system.\nEfficiently use ICT for the communication and transmission of ideas and results.\nIdentify the minimum requirements for the communication of reliable and secure digital data.\nInterpret the fundamental limits of information theory.\nJudge and criticise, both orally and in writing, different reliable and secure concepts, methods and techniques for digital data transmission.\nManage available time and resources.\nPlan the design process as part of a digital communication systems team with emphasis on source compression, data coding and secure message transmission.\nPrevent and solve problems.\nRecognise different multiuser access techniques and choose the best solutions in accordance with the communication scenario.\nUnderstand and illustrate the main methods of channel coding and its operative principles.\nUse communication and computer applications (office automation, databases, advanced calculation, project management, display, etc.) to support the design of data transmission systems and facilitate posterior technological transfer.\nUse the concepts of systems of data source code compression and secure digital message transmission in single-user and multiuser systems.\nWork autonomously.\nWork cooperatively.\nWork in an organised manner.\n\nContent\n1. Definitions and basic properties to the theory of information\n\nIntroduction to data transmission systems\nDetection and need of source and channel codings.\nLogical channel\nEntropy, relative entropy, mutuall information.\nInequality of data processing. Fano inequality.\nProperty of asymptotic equipartition.\n2. Source coding and data compression\n\nType of source codes and properties.\nSource coding theorem (1st Shannon theorem).\nHuffman coding.\nShannon-Fano-Elias coding.\nLemple-Ziv coding.\n3. Channel capacity\n\nType and characterization of the channel. Channel capacity.\nChannel coding theorem (2nd Shannon theorem).\nDifferential entropy.\nGaussian channel capacity.\n4. Block codes\n\nProperties of linear block codes. Systematic codes.\nGenerating and parity matrices.\nBasic block codes (Hamming, repetition, maximum length, BCH, Reed-Salomon).\nDecoding and probability of error.\nCyclic codes.\nConcatenation of codes and advanced codification (LDPC).\n5. Convolucional codes\n\nProperties of convolutional codes.\nRepresentation and description of codes. States diagram and trellis.\nTypes of codes. Systematic codes. Recursive codes.\nProbability of error and performance. Free distance. BER.\nOptimum decoding (MLSE). Viterbi algorithm." . . "Presential"@en . "TRUE" . . "Others"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Bachelor in Telecommunication Systems Engineering"@en . . "https://www.uab.cat/web/estudiar/ehea-degrees/general-information/computer-engineering-telecommunication-systems-engineering-1216708259085.html?param1=1345654047869" . "327"^^ . "Presential"@en . "The fast-paced technological evolution and advances in globalisation have made the information and communication technologies (ICTs) present in almost all of our personal and also professional activities. The union of concepts such as information technology, internet and telecommunications is a reality demanding the knowledge of professionals capable of working in all three areas. For this reason, the UAB offers a double degree in which students can receive integrated training leading to two diplomas in five years.\n\nStudents of the double degree in Computer Engineering (Specialisation in Information Technologies) + Telecommunication Systems Engineering will receive training in both the subjects belonging to each degree and interdisciplinary training to help successfully face the professional challenges of the ICTs and acquire a highly valued versatility with which to stand out from other professionals in the sector.\n\nThe close relation with advanced technological and research centres of both local and international prestige, and with leading companies from the ICT sector, facilitates student participation in high quality work placements and a successful entry into the labour market."@en . . . . "5"@en . "FALSE" . . . "Bachelor"@en . "Both" . "1199.90" . "Euro"@en . "Not informative" . "Recommended" . "no data"@en . "no data" . "FALSE" . "Midstream"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .