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 / results | ||
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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