Masters in Automatic Control and Computer Engineering - Master Informàtica Industrial i Automàtica

The Masters in Automatic Control and Computer Engineering aims to respond to the growing demand in this area for specialists capable of dealing with and participating in Research, Development and Innovation (R+D+I) projects in the production and service sectors. This masters programme offers state of the art training in the following areas: computer vision, robotics, control engineering, communications and intelligent systems. Training in these areas leads to the acquisition of techniques and methods and their application to solve current problems in applied fields such as medical image interpretation, efficient data retrieval in process supervision, quality control through artificial vision, applying AI techniques to decision making, the creation and management of distributed applications, communication network management, etc.

Masters programme comprising 120 ECTS credits divided into two academic years of 60 ECTS credits each. Depending on the previous academic training of the student (starting from 240 ECTS credits) it is possible to enter directly into the second year of the programme to obtain the masters degree. Each of the two years is organised into 30 ECTS credit blocks described below:

Semesters	Description	ECTS Credits
1st: Fundamentals	An instrumental module of 15 ECTS credits made up of subjects aiming to strengthen the knowledge research and transmission skills considered to be necessary for anybody obtaining a masters degree. A module introducing the two masters tracks formed by basic subjects in image processing, robotics, artificial intelligence, automation and communication networks and distributed systems.	30
2nd and 3rd: Specialisations	Computer Vision and Robotics(): Visual perception, scene segmentation and interpretation, autonomous robots and real time image processing, automated system design, image analysis applications (medical and underwater imaging) and robot control architectures, and robot learning. Automatic Control and Intelligent Systems Engineering(): Artificial intelligence techniques in control and decisions support systems, advanced control, process monitoring and failure diagnosis, distributed network systems, multi-agent systems, management of high performance communication networks, machine learning, data mining, decision support systems, projects applying these techniques in the industrial and service sectors. * * These contents are complemented by subjects from the other tracks (ECSI or VCR), or by subjects from other masters programmes.	30 each
4th: Masters Thesis	Supervised work with three differentiated profiles: Professional: students develop this module in a company or in a technology transfer project with important enterprise related implications. Research: students develop this module in a research centre or laboratory, or in a company R+D department. Mixed In all cases, students obtaining the degree will have acquired the following abilities: Specialised use of last techniques and methodologies to solve technological problems and carry out research projects in the area of the masters, and in line with the specific tracks. Ability to join multidisciplinary R+D+I teams for complete professional career experiences. Instrumental training in skills for working in teams, preparing documents and presenting projects and results. Acquisition of habits leading to the appropriate use of tools and methods to study, specify, manage and develop technology and research projects, as well as to document and present results. Critical analysis and evaluation of problems and possible solutions in order to make original and creative decisions. Orientation towards a research career with a view to writing a doctoral thesis in a highly technological context, or to work professionally in technology development, innovation and/or research in disciplines related to the masters programme.	30

Teaching in this masters programme is the responsibility of the lecturers of the Department of Electronics, Computer Science and Automatic Control of the UdG. Each subject is coordinated by a professor with R+D+I experience in the topics of the subject. Researchers and specialists recognised in each topic at the national and/or international levels will also participate in the teaching.

Marc Carreras (track on Computer Vision and Robotics, VCR)
Winston García (track on Control Engineering and Intelligent Systems, ECSI)
Contact address: master.iia@eia.udg.es
Phone: +34 972 418 486

The features of this masters programme in applied research allow the graduates to embark on a professional career in the areas of research, innovation or development, joining R+D+I teams in companies or in technology centres. Likewise, the programme enables students to continue research activity as part of doctoral studies in line with the existing regulations. Specifically, it supports research activity along the following lines integrated into the graduate programme in technology of the UdG:

Computer Vision and Robotics
Supervision and Process Control Systems
Network and agent based information systems

These lines of research are supported by the Institute of Informatics and Applications of the UdG through the activity of the following research groups.