Teaching GuideTerm Faculty of Computer Science |
Guía Provisional |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Machine Learning I |
Methodologies |
Identifying Data | 2024/25 | |||||||||||||
Subject | Machine Learning I | Code | 614G02019 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
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Methodologies | Description |
Guest lecture / keynote speech | Theoretical teaching of the subject matter of the course |
Laboratory practice | Development of code related to the content of the subject |
Supervised projects | Solving a real-world problema and writing of the report explaining the resolution of this problem |
Objective test | Written assessment test in which the student must demonstrate the knowledge acquired from the subject. |
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