2018_19
Educational guide 
School of Engineering
A A 
english 
Computer Security Engineering and Artificial Intelligence (2016)
 Subjects
  MASTER'S THESIS
IDENTIFYING DATA 2018_19
Subject (*) MASTER'S THESIS Code 17685301
Study programme
Computer Security Engineering and Artificial Intelligence (2016)
Cycle 2nd
Descriptors Credits Type Year Period Exam timetables and dates
9 Final master project First 2Q
Modality and teaching language See working groups
Prerequisites
Department Computer Engineering and Mathematics
Coordinator
ALVAREZ FERNANDEZ, SUSANA MARIA
E-mail pedro.garcia@urv.cat
susana.alvarez@urv.cat
aida.valls@urv.cat
alexandre.viejo@urv.cat
jordi.duch@urv.cat
santiago.romani@urv.cat
antonio.moreno@urv.cat
agusti.solanas@urv.cat
oriol.farras@urv.cat
javier.parra@urv.cat
Lecturers
GARCÍA LÓPEZ, PEDRO ANTONIO
ALVAREZ FERNANDEZ, SUSANA MARIA
VALLS MATEU, AÏDA
VIEJO GALICIA, LUIS ALEXANDRE
DUCH GAVALDÀ, JORDI
ROMANÍ ALSO, SANTIAGO
MORENO RIBAS, ANTONIO
SOLANAS GÓMEZ, AGUSTÍN
FARRÀS VENTURA, ORIOL
PARRA ARNAU, JAVIER
Web
General description and relevant information The Master’s thesis of the MESIIA will have a main focus on research. This means that the work to be done will involve the development of an innovative research project within a research group specialized in Computer Security and/or Artificial Intelligence of the Department of Computer Engineering and Mathematics. A Master’s thesis can be advised by any professor of the department holding a doctorate/PhD degree. Any possible co-advisor has to hold also a doctorate/PhD degree.
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.