Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Intelligent Cibersecurity |
Planning |
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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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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A5 A9 A20 A21 A22 A23 B1 B2 B6 B10 C5 C8 | 10 | 10 | 20 |
Laboratory practice | A5 A9 A20 A21 A22 A23 A31 B1 B2 B4 B5 B6 B7 B9 C9 | 5.25 | 15.75 | 21 |
Problem solving | A5 A9 A20 A21 A22 A23 A31 B1 B2 B4 B5 B6 B7 B9 C9 | 5.25 | 15.75 | 21 |
Objective test | A5 A9 A20 A21 A22 A23 A31 B1 B2 B4 B6 B7 B9 B10 | 2 | 10 | 12 |
Personalized attention | 1 | 0 | 1 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
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