Teaching GuideTerm Faculty of Computer Science |
Grao en Enxeñaría Informática |
Subjects |
Machine Learning |
Planning |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Machine Learning | Code | 614G01038 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Third | Optional | 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 | A45 C7 C8 | 21 | 42 | 63 |
Laboratory practice | A45 B1 B9 | 12 | 24 | 36 |
Supervised projects | A45 C2 C6 | 7 | 19 | 26 |
Objective test | A45 C7 C8 | 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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