Master in Automation / Autonomous Systems in Spain

Compare Masters Programs in Automation / Autonomous Systems in Spain 2017

Automation / Autonomous Systems

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

Automation program MSc in Automation / Autonomous Systemsknowledge and broad professional skills to design, develop, implement, manage and supervise automation methods for manufacturing plants, industrial processes, distribution systems, environmental systems.

Spain, officially the Kingdom of Spain, is a sovereign state and a member state of the European Union. It is located on the Iberian Peninsula in southwestern Europe. Spanish universities regulate access to their own degrees and they fix the academic fees. They can also offer unofficial postgraduate degrees. The capital city Madrid has possibly the largest number of bars per capita of any European city and a very active nightlife.

Top Master Programs in Automation / Autonomous Systems in Spain 2017

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Master in Intelligent Interactive Systems

Universitat Pompeu Fabra Barcelona
Campus Full time Part time 1 - 2 years September 2017 Spain Barcelona + 1 more

Future emerging technologies will provide both interactivity and intelligence. The master's programme in Intelligent Interactive Systems (IIS) addresses both trends, focusing on the design, analysis and development of agents and robots able to interact intelligently with humans and other agents, that is, agents that can perceive, plan, act, learn and communicate. The programme's lecturers are world-renowned scientists in the fields of... [+]

Best Masters in Automation / Autonomous Systems in Spain 2017. Master in Intelligent Interactive Systems Future emerging technologies will provide both interactivity and intelligence. The master's programme in Intelligent Interactive Systems (IIS) addresses both trends, focusing on the design, analysis and development of agents and robots able to interact intelligently with humans and other agents, that is, agents that can perceive, plan, act, learn and communicate. The programme's lecturers are world-renowned scientists in the fields of artificial intelligence, robotics, machine learning, natural language interaction and web intelligence. Students will learn about the languages, models and algorithms involved in intelligent interactive systems and will be exposed to top-level research in the field. This is a technical master's programme, and students are expected to be familiar with mathematical language and computer science. Objectives The master's programme aims to provide students with: A solid background in models and algorithms for the analysis, design and development of intelligent interactive systems. An entry point into high-level research in the field in which they make their contributions. Teaching staff The programme's lecturers include the ICREA research professors Hector Geffner, Gabor Lugosi and Leo Wanner; Ricardo Baeza-Yates, director of Yahoo! Labs Europe; and Vladimir Estivill-Castro, of the UPF and Griffith University (Australia). Who is it for? This is a highly technical programme, and students are expected to have prior knowledge of mathematical language and computer science. To apply to the programme, students must hold an undergraduate degree in computer science, mathematics, physics or engineering, or have a similar background. Structure The programme is research-oriented and divided into three terms, over the course of which students must complete 30 credits' worth of compulsory subjects, 10 credits' worth of optional subjects, and a 20-credit research project. Content Machine Learning (Gabor Lugosi; first term) Autonomous Systems (Hector Geffner; first term) Mobile Robotics (Vladimir Estivill; first term) Research Methodology (first term) Natural Language Interaction (Leo Wanner; second term) Web Intelligence (Ricardo Baeza; second term) Optional 1 (second term) Research project (third term) Optional 2 (third term) The two optional subjects are chosen from amongst the following: Advanced Topics in Intelligent Interactive Systems, Computational Neuroscience, Human-Computer Interaction, Image and Video Processing, Games and Entertainment, Interface Design, Psychology and Cognitive Science, Pattern Recognition, and Algorithm Design. The optional subjects are offered one term a year and are subject to a minimum enrolment. Research project and internship Students must carry out a research project within the context of one of the Pompeu Fabra University research groups. As part of their project, students may do an internship in one of these research groups or at a company in the industry. Knowledge, skills and competences acquired The ability to develop real and virtual agents, such as robots, to interact with a physical environment, humans and other agents. Knowledge of the models and algorithms needed to address learning, action and interaction in real or virtual environments that may include humans and other agents. The ability to incorporate intelligence and interactivity in a wide range of applications, such as video games, the Internet, manufacturing and robotics. Career prospects The Internet: intelligent web applications. Video games: intelligent applications in the video game industry. Intelligent data processing: data-mining professionals. Cognitive agents for the elderly. Future emerging technologies and applications. Academia: research in intelligent agents that interact with humans and other agents. [-]

Erasmus Mundus Master's Degree In Advanced Robotics

Jaume I University (Universitat Jaume I)
Campus Full time September 2017 Spain Castellón

Erasmus Mundus Master's Degree in Advanced Robotics is designed to promote a high quality educational offer in the area of ​​advanced and intelligent robotics. After graduation students will have mastered the different areas of robotics (modeled [+]

Erasmus Mundus Master's Degree in Advanced Robotics is designed to promote a high quality educational offer in the area of ​​advanced and intelligent robotics. After graduation students will have mastered the different areas of robotics (Mathematical modeling, automatic, computer engineering, mechanical design) in order to be able to deal with robotic systems as a whole and not just concentrate on one particular area. Employment prospects for graduates are very good and that the proposed courses are relevant to today's high technology and because current promotions universities are insufficient to meet the demands of industry programs and research society. Students can approach the Masters as a professional degree, or join a subsequent PhD program. GOALS During the years 2008-2013 the Erasmus Mundus Master Degree in Advanced Robotics contributed to the achievement of the objectives of the Erasmus Mundus program in improving the quality of higher education in Europe, by promoting cooperation with third countries, the promotion of European quality offer in higher education, encouraging mobility of incoming graduate students and academics from third countries, to promote structured cooperation with institutions of higher education in third countries and improve the profile, visibility and accessibility of higher education European worldwide. For the coming years, our objectives are to achieve these overall objectives of Erasmus Mundus program, and have as specific objectives: 1- to develop a strong and sustainable program of international graduate robotics within teams of interdisciplinary and intersectoral research composed of 11 institutions higher education in Europe and Asia and major robotics companies; 2- provide industry, institutions and research teams, a new generation of engineers, researchers and system designers with a broad enough perspective to carry out the development of robotics and its integration into applications. We note that the number of courses Master Robotics in Europe is not sufficient to meet the need of industry positions and PhD. 3- capacity building research teams consortium by developing durable and reusable knowledge and know-how; 4- develop joint projects and co-tutoring stays in cooperation with leading robotics companies worldwide; 5- offer young graduates the opportunity to have an attractive job in a strategic domain. [-]

Máster Universitario En Sistemas Inteligentes

Jaume I University (Universitat Jaume I)
Campus Full time 1 year October 2017 Spain Castellón

La formación que proporciona el máster se enmarca en el ámbito de los sistemas inteligentes que involucran procesos de percepción, aprendizaje y decisión automática, manipulación [+]

Best Masters in Automation / Autonomous Systems in Spain 2017. La formación que proporciona el máster se enmarca en el ámbito de los sistemas inteligentes que involucran procesos de percepción, aprendizaje y decisión automática, manipulación robótica, almacenamiento y proceso de datos, información contextual, visualización y entornos interactivos. Los estudios estructuran los conocimientos y disciplinas que definen un perfil profesional con dos posibles intensificaciones: robótica de servicios o interacción avanzada y gestión del conocimiento. Robótica de servicio. La robótica está experimentando una nueva revolución que, según se prevé, se consolidará en los próximos años, tanto en el ámbito europeo como en el mundial: los robots salen de la industria tradicional (automoción, soldadura, pintura, ensamblaje) para ubicarse en las oficinas, los laboratorios y los hogares. Así, según prestigiosos estudios internacionales, se puede esperar un sólido crecimiento de las instalaciones de robots en todo el mundo entre los años 2006 y 2008. En España hay un margen de crecimiento aún mayor dada la baja densidad de robots (la mitad que, por ejemplo, en Alemania). Aunque el mercado tradicional de los robots, la industria de automoción, dé muestras de saturación, los avances tecnológicos de los últimos años han abierto nuevos nichos de aplicación en otros segmentos. El sector denominado «robótica de servicio» comprende aquellos robots que operan en entornos como: exploración; vigilancia, seguridad y rescate; aplicaciones médicas; construcción; limpieza y mantenimiento de instalaciones; uso doméstico y entretenimiento. Interacción avanzada y gestión del conocimiento. Basándose en las reflexiones que han dado lugar al último Plan nacional de innovación, investigación y desarrollo, y al VI programa marco de la Unión Europea, se han detectado líneas prioritarias con demanda a corto y medio plazo en la denominada sociedad de la información. Uno de los ámbitos con demanda es el de las llamadas tecnologías de la interacción y del conocimiento, que comprende los siguientes campos o líneas prioritarias: - Sistemas cognitivos, capaces de interpretar datos provenientes de acontecimientos del mundo real y/o procesos, principalmente flujos de información de sensores visuales y audio, para adquirir conocimiento del entorno, realizar sugerencias y comunicarse con los usuarios en términos comprensibles para los humanos, realizando tareas complejas relacionadas con ingeniería y ciencias cognitivas, inteligencia artificial, visión por ordenador y robótica, así como otras disciplinas relacionadas, como la teoría de la información, la neurociencia y la lingüística. - Interficies multimodales basadas en mecanismos de interacción entre el usuario y el sistema a través de interficies de uso natural y fácil para las personas, que se comunican inteligentemente a través de diferentes modalidades, como la visión, el habla, multi-lenguajes, las representaciones visuales, el tacto, etc. - Sistemas basados en semántica y dependientes del contexto, orientados a adquirir, organizar, personalizar, compartir y utilizar el conocimiento inmerso en el web y contenidos multimedia. Producción de contenidos inteligentes pioneros capaces de autodescribirse y adaptarse a las necesidades y contexto del usuario, proporcionando una interacción de forma natural entre el usuario y su entorno. Los profesionales e investigadores que completen el Máster en Sistemas Inteligentes contarán con una formación pluridisciplinaria en ámbitos pioneros de la computación, las comunicaciones y la integración de sistemas. Su perfil les permitirá abordar problemas donde converjan los sistemas físicos con el procesamiento de grandes volúmenes de información en tiempo real, en entornos plenamente conectados en red, desde la proximidad de dispositivos inalámbricos a la globalidad de Internet. Tipo de enseñanza Enseñanza presencial. Duración y calendario Duración: un curso académico (octubre 2014 / septiembre 2015). Docencia presencial: octubre 2014 / julio 2015. Créditos e importe 60 Créditos ECTS (European Credit Transfer System). Según tasas oficiales pendientes de publicar. Precio en el curso 2013/14: 46,20 €/crédito. [-]