Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) - Online |
Subjects |
MASTER'S THESIS |
IDENTIFYING DATA | 2017_18 | |||||||||
Subject (*) | MASTER'S THESIS | Code | 17685301 | |||||||
Study programme |
|
Cycle | 2nd | |||||||
Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||
9 | Final master project | First | 2Q |
|||||||
Modality and teaching language | ||||||||||
Prerequisites | ||||||||||
Department | Computer Engineering and Mathematics |
|||||||||
Coordinator |
|
|||||||||
Lecturers | |
|||||||||
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. |