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Teaching GuideTerm Faculty of Law |
| Máster Universitario en Dereito Dixital e da Intelixencia Artificial |
 Subjects |
| Cybercrime and Cybersecurity |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Cybercrime and Cybersecurity | Code | 612539008 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Obligatory | 5 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Workbook | A1 A2 A3 | 0 | 20 | 20 |
| Guest lecture / keynote speech | A3 B8 | 16 | 17 | 33 |
| Objective test | A1 | 2 | 0 | 2 |
| Document analysis | A4 A5 A6 A8 A7 A9 B1 B2 B3 B4 B5 B6 B7 B9 B11 B10 B12 B17 B18 C1 C2 C3 C4 C5 C6 C7 C8 | 5 | 5 | 10 |
| Diagramming | A1 A2 A3 A4 A5 A6 A8 A7 A9 B1 B2 B3 B4 B5 B6 B7 B8 B9 B11 B10 B12 B13 B14 B15 B16 B17 B18 C1 C2 C3 C4 C5 C6 C7 C8 | 1 | 1 | 2 |
| Problem solving | B13 B14 B15 B16 | 8 | 30 | 38 |
| Personalized attention | 20 | 0 | 20 | |
| (*)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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