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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Knowledge Representation and Reasoning |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Knowledge Representation and Reasoning | Code | 614G03020 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Mixed objective/subjective test | A13 A14 B2 B4 B5 B7 B8 B9 B10 C3 | 2 | 8 | 10 |
| Directed discussion | A13 A14 B2 B4 B5 B7 B8 B9 B10 C3 | 2 | 4 | 6 |
| Laboratory practice | A13 A14 B2 B4 B5 B7 B8 B9 B10 C3 | 14 | 20 | 34 |
| Workshop | A14 A13 B2 B4 B5 B7 B8 B9 B10 C3 | 2 | 4 | 6 |
| Problem solving | A13 A14 B2 B4 B5 B7 B8 B9 B10 C3 | 3 | 3 | 6 |
| Supervised projects | A13 A14 B2 B4 B5 B7 B8 B9 B10 C3 | 6 | 20 | 26 |
| Guest lecture / keynote speech | A13 A14 B2 B4 B5 B7 B8 B9 B10 C3 | 30 | 30 | 60 |
| Personalized attention | 2 | 0 | 2 | |
| (*)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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