Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Explainable and Trustworthy AI |
Planning |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Explainable and Trustworthy AI | Code | 614544004 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Obligatory | 3 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Laboratory practice | A6 A7 A8 A9 B1 B2 B3 B6 B7 B8 B9 C2 C3 C4 C5 C6 C7 C8 | 11 | 43 | 54 |
Guest lecture / keynote speech | A6 A7 A8 A9 B1 B2 B3 B6 B7 B8 B9 C2 C3 C4 C5 C6 C7 C8 | 10 | 10 | 20 |
Personalized attention | 1 | 0 | 1 | |
(*)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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