Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Knowledge Representation and Automatic Reasoning |
Planning |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Knowledge Representation and Automatic Reasoning | Code | 614G01036 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Third | Optional | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A4 A42 A43 B1 B3 B9 C6 C7 C8 | 25 | 15 | 40 |
Mixed objective/subjective test | A42 B1 B3 | 2 | 10 | 12 |
Directed discussion | A4 B9 C6 C7 | 2 | 4 | 6 |
Laboratory practice | A42 A43 B1 B3 B5 C8 | 14 | 20 | 34 |
Workshop | A42 A43 B1 B3 B9 C6 C8 | 2 | 4 | 6 |
Problem solving | A42 B1 B3 B9 C2 C6 C7 | 3 | 2 | 5 |
Supervised projects | A42 A43 B1 B3 B9 C8 | 7 | 25 | 32 |
Personalized attention | 15 | 0 | 15 | |
(*)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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