2023_24
Educational guide 
School of Engineering
A A 
english 
Computer Security Engineering and Artificial Intelligence (2016) - Online
 Subjects
  MASTER'S THESIS
IDENTIFYING DATA 2023_24
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
francesc.serratosa@urv.cat
susana.alvarez@urv.cat
aida.valls@urv.cat
marc.sanchez@urv.cat
mohammedhamoodabdullah.jabreel@urv.cat
Lecturers
GARCÍA LÓPEZ, PEDRO ANTONIO
SERRATOSA CASANELLES, FRANCESC D'ASSÍS
ALVAREZ FERNANDEZ, SUSANA MARIA
VALLS MATEU, AÏDA
SANCHEZ ARTIGAS, MARC
JABREEL , MOHAMMED HAMOOD ABDULLAH
Web https://campusvirtual.urv.cat/local/alternatelogin/index.php?lang=en
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.