Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
AI in Big Data Environments |
Planning |
Identifying Data | 2023/24 | |||||||||||||
Subject | AI in Big Data Environments | Code | 614544016 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
Second | Optional | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
ICT practicals | A11 A12 A13 A16 B2 B3 B4 B5 B6 B7 B8 B9 C3 C7 C8 C9 | 14 | 44 | 58 |
Supervised projects | A11 A12 B3 B4 B5 B6 B9 C4 C7 C8 | 7 | 20 | 27 |
Objective test | A11 A12 A13 B2 B6 B7 B8 B9 C4 C8 C9 | 2 | 20 | 22 |
Guest lecture / keynote speech | A11 A12 A13 A16 B2 B3 B4 B6 B8 B9 C4 C8 C9 | 21 | 20 | 41 |
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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