Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Machine Learning I |
Methodologies |
Identifying Data | 2023/24 | |||||||||||||
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 | Solve practical problems by using the different techniques that will be explained in the theory classes. |
Supervised projects | Writing, under the supervision of the teacher, of the reports explaining the resolution of the problems carried out in the laboratory practices and the results obtained. |
Objective test | This is a written assessment test in which the student must demonstrate the knowledge acquired from the subject. |
|