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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Cibersecurity |
| Learning aims |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Intelligent Cibersecurity | Code | 614544024 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 3 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| Know different techniques and tools to implement AI-based solutions for automated detection of vulnerabilities, attacks and fraudulent content and applications | AC4 AC8 AC19 AC20 AC22 AC30 |
BC1 BC6 BC7 BC10 |
CC5 CC8 |
| Know, understand and analyze real application cases of AI techniques in different cybersecurity fields | AC4 AC8 AC19 AC20 AC21 AC22 AC30 |
BC2 BC4 BC5 BC6 BC7 BC9 BC10 |
CC5 CC8 CC9 |
| Know techniques that facilitate security by design and that allow secure system and network communications administration, risk management and a fast recovery upon cybersecurity events | AC8 AC20 AC21 AC22 AC30 |
BC1 BC2 BC4 BC5 BC7 BC9 |
CC8 CC9 |
| Understand the importance of identity as a concept and know techniques that guarantee access to the data and their privacy | AC4 AC8 AC21 AC22 AC30 |
BC1 BC2 BC6 BC7 BC9 BC10 |
CC8 |
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