|
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 |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
|
||||||||||||||
| 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. |
|
