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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Web Intelligence and Semantic Technologies |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Web Intelligence and Semantic Technologies | Code | 614544010 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Problem solving | A2 A3 A4 B1 B3 B6 B7 B10 C2 C3 C7 | 11 | 55 | 66 |
| Laboratory practice | A2 A3 A4 B1 B3 B6 C2 C7 | 10 | 30 | 40 |
| Mixed objective/subjective test | A2 A3 A4 B4 C8 | 2 | 0 | 2 |
| Guest lecture / keynote speech | A2 A3 A4 B1 | 21 | 21 | 42 |
| Personalized attention | 0 | 0 | 0 | |
| (*)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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