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Teaching GuideTerm Faculty of Computer Science |
| Grao en Enxeñaría Informática |
 Subjects |
| Machine Learning |
| Methodologies |
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| Identifying Data | 2020/21 | |||||||||||||
| 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 | Description |
| Guest lecture / keynote speech | Theoretical teaching of the subject matter of the course |
| Laboratory practice | Solve a practical problem by using the different techniques that will be explained in the theory classes. |
| Supervised projects | Writing, under the supervision of the teacher, of the report explaining the resolution of the problem carried out in the laboratory practices and the results obtained. This work must be presented in class. |
| Objective test | This is a written assessment test in which the student must demonstrate the knowledge acquired from the subject. |
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