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 / Results | Teaching hours (in-person & virtual) | 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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