Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Multiagent Systems |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Multiagent Systems | Code | 614544005 | |||||||||||
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 / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Laboratory practice | A6 A9 B2 C3 C6 C7 | 14 | 30 | 44 |
Problem solving | A7 B1 B3 B7 C4 C5 | 7 | 39 | 46 |
Oral presentation | B9 C2 | 1 | 1 | 2 |
Guest lecture / keynote speech | A8 B8 C8 | 21 | 17 | 38 |
Supervised projects | A9 A6 B3 C7 C3 | 0 | 18 | 18 |
Objective test | B6 B8 C2 | 2 | 0 | 2 |
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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