| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| PRIVACY PROTECTION |
 
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| IDENTIFYING DATA | 2020_21 | |||||||||||||||||
| Subject (*) | PRIVACY PROTECTION | Code | 17685107 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Compulsory | 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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josep.domingo@urv.cat |
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| Lecturers |
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| Web | http://crises-deim.urv.cat/privprot | |||||||||||||||||
| 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:Learn the basics of privacy, its legal principles and major design strategies . Gain expertise in database privacy and data anonymization. |
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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. | ||||||||||||||||||
