Móstoles, Spain
DEGREE TYPE
Master degree
DURATION
1 year
LANGUAGES
Spanish
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request earliest start date
TUITION FEES
EUR 84 / per credit *
STUDY FORMAT
On-Campus
* The price for non-resident non-EU students is only approximate since each academic rate is different.
Key Summary
Introduction
What knowledge will I acquire with this Master?
Among the professional applications of Artificial Vision, some could be listed such as video surveillance and visual control of rooms, analysis and processing of medical images, automatic inspection, interpretation of satellite images, visual verification of bank checks and biometric applications. , smart user interface development, etc.
goals
This master's degree is designed to offer specialized theoretical-practical training in the field of Computer Vision. The master's degree provides skills that allow us to address current problems within the specific context of Computer Vision, an expanding field of growing interest in the industry. The objective of the Master is to train the student in:
- The analysis of problems of practical interest where solutions based on Computer Vision techniques are applicable in a realistic and efficient way.
- The design, implementation and implementation of hardware/software systems based on Artificial Vision
- The development of Artificial Vision systems aimed at specific areas such as Robotics, Medical Imaging, Document Analysis or Surveillance, among others.
- The foundations of new trends in Computer Vision.
Curriculum
The completion of a classic program typically entails earning 60 ECTS credits.
Master's Degree Duration: One academic year.
- 623001 Digital Image Treatment
- 623002 Software Tools for Image Treatment
- 623011 Computer Biometrics
- 623013 Vision Instrumentation
- 623015 Mathematical Fundamentals
- 623016 Pattern Recognition
- 623017 Introduction to Computer Vision Research
- 623003 Medical Image
- 623005 Industrial and commercial applications
- 623007 Dynamic Vision
- 623009 three-dimensional vision
- 623010 Vision in Robotics
- 623012 Artificial Vision Seminars
- 623014 Final Master's Project
Program Outcome
General Competences of the Master:
- CG01 - Ability to choose the appropriate methodology and techniques to solve a specific problem, as well as detect the applicability of artificial vision techniques to industrial problems.
- CG02 - Ability to design and develop hardware/software systems aimed at solving specific artificial vision problems in different fields.
- CG03 - Ability to select the components of the different subsystems that are part of a vision system from among all the existing technological offer in the market.
- CG04 - Ability to carry out an original research and/or development project related to one or more of the subjects of this master's degree.
Specific Competences:
- CE01 - Ability to select and/or implement the necessary mathematical tools to model and solve a specific artificial vision problem.
- CE02 - Ability to know the main medical imaging modalities and the specific digital image formats in medicine, as well as the main medical image processing and analysis techniques.
- CE03 - Ability to select the appropriate instrumentation (lighting, capture, processing and visualization devices) to solve a specific artificial vision problem.
- CE04 - Ability to understand the concept of digital image as well as the general scheme of digital image processing algorithm.
- CE05 - Ability to know the fundamental algorithms in digital image processing.
- CE06 - Ability to select the appropriate tools, languages, environments and libraries for each digital image processing problem.
- CE07 - Ability to apply the most important classification techniques to solve real Artificial Vision problems.
- CE08 - Ability to know and know how to apply basic techniques in dynamic vision problems.
- CE09 - Ability to apply the most important techniques of 3D data acquisition and 3D object representation.
- CE10 - Ability to glimpse the new paradigms of an expanding scientific discipline both at the research level and its possible industrial uses.
- CE11 - Ability to develop and evaluate a prototype Industrial Artificial Vision system (eg, an automatic document analysis system).
- CE12 - Ability to know the most relevant problems and proposed solutions in the field of Artificial Vision for Robots.
- CE13 - Ability to understand the structure and operation of a general biometric system, the most common static and dynamic biometric modalities, and how to assess the security and performance of this type of system.