Course description
Duration
2 years (full-time MSc)
Overview
The European Masters in Computer Vision and Robotics (VIBOT) is a collaboration between the three leading European institutions, the Universitat de Girona (Spain), the Université de Bourgogne (France) and Heriot-Watt University (Scotland). It aims at meeting the present needs of industry for quality control, automation of industrial processes and e-health.
In recent years, the amount of digital information to be stored, processed and distributed has grown dramatically. The generalisation of the use of digital images, in video surveillance, biomedical and e-health systems, and remote sensing, create new, pressing challenges, and automated management tools are key to enable the organisation, mining and processing of these important knowledge resources. The key subject areas are computer vision and robotics. Research in these areas are dynamic and relevant to a wide range of sectors, such as the car industry, the agro-alimentary field or the domain of health, with the active development of e-Health solutions. The course is over two years, students spend the first semester in Scotland, the second in Spain and the third in France. The fourth semester is reserved for Masters thesis.
COURSE STRUCTURE
Heriot-Watt semester (first semester) – YEAR 1
* Digital Signal Processing
* Software Engineering
* Data Mining and Machine Learning
* Image Compression Communication
* Image Processing (VIBOT)
* Research Methods Critical Analysis and Project Planning
Girona semester (second semester)
* Fundamental on Robotics
* Autonomous Robots
* Scene Segmentation and Interpretation
* Visual Perception
* Real-time Image Processing
* Local Culture
Le Creusot semester (first semester) – YEAR 2
* ShapeRecognition and Statistics
* Image Analysis
* Infrared Imagery
* Human Vision Psychophysics
* Radio-Isotopic Imagery
* X and Ultrasound Imagery
* Biological Basis of Medical Imaging
* Local Culture
Research/Training Semester (Year 2: Semester 2)
Taken in industry or at any of the partner institute
*
MSc Project
