| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) - Online |
 Subjects |
| COMPUTER FORENSICS |
 
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| IDENTIFYING DATA | 2017_18 | |||||||||||||||||
| Subject (*) | COMPUTER FORENSICS | Code | 17685102 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Compulsory | First | 1Q |
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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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| Lecturers | |
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| Web | ||||||||||||||||||
| General description and relevant information | This course presents a new perspective of information security based on the analysis of computer systems and malicious code . Computer forensics aims to collect evidence to help us understand ( and document if necessary) an attack on a computer system. | |||||||||||||||||
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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. | ||||||||||||||||||
