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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Machine Learning I |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Machine Learning I | Code | 614544012 | |||||||||||
| 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 | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A11 A12 C4 C8 C9 | 21 | 42 | 63 |
| Laboratory practice | A13 A16 B2 B3 B5 B6 B7 C3 C7 | 12 | 24 | 36 |
| Supervised projects | B2 B3 B4 B5 B8 B9 C4 C8 C9 | 7 | 19 | 26 |
| Objective test | A11 A12 B3 B8 C4 C8 C9 | 2 | 20 | 22 |
| Personalized attention | 3 | 0 | 3 | |
| (*)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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