Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Reasoning and Planning |
Planning |
Identifying Data | 2023/24 | |||||||||||||
Subject | Reasoning and Planning | Code | 614544003 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Obligatory | 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 | A6 A7 A8 A9 B2 B3 B6 B8 B9 C2 C6 | 21 | 42 | 63 |
Objective test | A6 A7 A8 A9 B3 B6 B7 B8 B9 C2 | 3 | 21 | 24 |
Laboratory practice | A6 A7 A8 A9 B1 B2 B3 B7 B8 C3 C4 C5 C6 C7 C8 | 21 | 42 | 63 |
Personalized attention | 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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