General information

Academic year: 2022/2023

Level: Master

Type: Official Master's Degree

ECTS Credits: 120

Orientación del programa de Máster Investigador

Length of programme (full time): 2 YEARS

Mode of delivery: Face-to-face

Level of qualification: Máster (MECES level 3 - EQF level 7)

Model of study: Full-time (42-60 ECTS per school year)

Mobility windows: Mandatory
Academic Information for mobility students

Prácticas profesionales externas:

Language(s) of instruction English


Guía docente


Programme coordinator

Name: JUAN LUIS, NIEVES GÓMEZ


Faculty of Science / Granada campus

Competences

Students who have completed the second cycle have the following competences:
– They possess and understand knowledge that provides a basis or opportunity for originality in the development and/or application of ideas, often in a research context.
– They are able to apply their acquired knowledge and problem-solving skills in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their field of study.
– They are able to integrate knowledge and deal with the complexity of making judgements on the basis of incomplete or limited information, including reflections on the social and ethical responsibilities linked to the application of their knowledge and judgements.
– They know how to communicate their conclusions, and the knowledge and ultimate reasons behind them, to specialist and non-specialist audiences in a clear and unambiguous way.
– They possess the learning skills to enable them to continue studying in a largely self-directed or autonomous manner.

Programme qualification

Name of title awarded in original language

Máster Universitario Erasmus Mundus en Ciencia del Color, Imágenes y Visión Computacional

Qualification requirements

120 minimum credits

Programme courses

Course Name Year Period
3D Models in computer vision 1º Curso Yearly
Advanced colour and image processing 1º Curso Yearly
Advanced colour and spectral imaging 1º Curso Yearly
Advanced colour management 1º Curso Yearly
Advanced deep learning 1º Curso Yearly
Advanced image processing 1º Curso Yearly
Advanced optoelectronics 1º Curso Yearly
Advanced project work 1º Curso Yearly
Advanced spectral imaging devices 1º Curso Yearly
Appearance, perception and measurement 1º Curso Yearly
Applications on photonics 1º Curso Yearly
Colour science Laboratory 1º Curso Yearly
Computer graphics fundamentals and applications 1º Curso Yearly
Computer vision 1º Curso Yearly
Cross-media color reproduction 1º Curso Yearly
Data science 1º Curso Yearly
Deep learning for visual computing 2nd Year 1st Semester
Digital Innovation and Entrepreneurship 1º Curso Yearly
Finnish language 1º Curso Yearly
French language and culture 1º Curso Yearly
From statistics to data mining 1º Curso Yearly
Graph mining 2nd Year 1st Semester
Human perception and cognition 1º Curso Yearly
Image processing and Analysis 1º Curso 1st Semester
Industrial group project 1º Curso Yearly
Introduction to research on colour and visual computing 1º Curso Yearly
Light matter interaction and materials appearance: from physics to virtual reality 1º Curso Yearly
Location-aware mobile applications development 1º Curso Yearly
Machine learning: fundamentals and algorithms 1º Curso 2nd Semester
Master's Degree Dissertation 2nd Year Yearly
Master's Degree Dissertation 2nd Year Yearly
Master's Degree Dissertation 2nd Year Yearly
Master's Degree Dissertation 2nd Year 2nd Semester
Norwegian language and culture 1º Curso Yearly
Optical metrology and fabrication 1º Curso Yearly
Optical sensors 1º Curso Yearly
Optics 1º Curso Yearly
Other elective course upon eligibility 1º Curso Yearly
Other elective course upon eligibility 1º Curso Yearly
Programming crash course MATLAB and Python 1º Curso Yearly
Real time 3D visualization 1º Curso Yearly
Remote Imaging and Sensing 1º Curso Yearly
Research communication, incl. LaTeX 1º Curso Yearly
Research ethics 1º Curso Yearly
Research methodology and projects management 1º Curso Yearly
Robotics and XR 2nd Year 1st Semester
Spanish language and culture 1º Curso Yearly
Specialisation in colour imaging 1º Curso 1st Semester
Specialisation in video processing 1º Curso 1st Semester

Specialisations

Specialisation name

– No Specialisation

Admission information

Access to Master’s Degree programmes is granted to holders of:
A.1. A Spanish official university degree.
A.2. A degree issued by a Higher Education institution from another European Higher Education Area Member State which allows access to Master Degree’s programmes in that State.
A.3. A degree from a non-EHEA education system, upon verification by the Spanish University that the aforementioned degree accredits an equivalent education level to that of a Spanish university degree and allows access to postgraduate programmes in the issuing country.
A.4. A Spanish Bachelor in Advanced Artistic Education.
A.5. Official Spanish university degrees of Diplomado, Arquitecto Técnico, Ingeniero Técnico, Licenciado, Arquitecto, Ingeniero, Graduado or Máster Universitario.

Specific admission requirements

Candidates must have a language competence level of B2 in English according to the Common European Framework of Reference for Languages.

General regulations

Grading scale
In the Spanish university system, modules/courses are graded on a scale of 0 to 10 points with the following qualitative equivalence:
0-4,9: «suspenso»; 5-6,9: «aprobado»; 7-8,9: «notable»; 9-10: «sobresaliente». A special mention, «Matrícula de Honor» may be granted to up to 5% of the students in a group provided they have got a «sobresaliente». To pass a module/course is necessary to get at least 5 points.
In cases of recognition of ECTS, professional experience, cultural or sports activities, or student representation no grading will be recorded but, where appropriate, the word «Apto».

 

UGR Examination Regulations
https://docencia.ugr.es/sites/vic/docencia/public/inline-files/Normativa_de_evaluacion_y_calificacion_EN.pdf

 

More info on academic regulations at: 

https://ugrcat.si2.ninja/en/about-ugr/#regulations

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