| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| MASTER'S THESIS |
 
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| IDENTIFYING DATA | 2020_21 | |||||||||||||||||
| Subject (*) | MASTER'S THESIS | Code | 17685301 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 9 | Final master project | First | 2Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Computer Engineering and Mathematics |
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| Coordinator |
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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 |
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| Lecturers |
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| General description and relevant information |
The information published in this guide corresponds to face-to-face classes and can serve as a guide. Due to the health emergency caused by COVID-19 there may be changes in teaching, assessment and calendars for the 2020-21 academic year. These changes will be reported in the Moodle space of each subject. GENERAL DESCRIPTION OF THE SUBJECT: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. |
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| (*)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. | ||||||||||||||||||
