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Teaching GuideTerm 2023/24 Escola Politécnica de Enxeñaría de Ferrol |
| Mestrado Universitario en Enxeñaría Industrial (plan 2018) |
 Subjects |
| Introduction to Machine Learning |
| Methodologies |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Introduction to Machine Learning | Code | 730497240 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
Second | Optional | 4.5 | ||||||||||
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| Methodologies | Description |
| Supervised projects | Programming exercises in which some of the techniques seen in the theory classes will be implemented on real engineering problems, using the programming language selected by the teachers. These exercises will be carried out by the students autonomously and their progress will be tutored by the teachers. |
| Oral presentation | Theoretical work or works about a specific topic from the contents that will be orally presented and discussed with other students |
| ICT practicals | In person computer sessions in which teachers explain the use and programming of automatic learning techniques as seen in theory, so that students acquire sufficient skills to use them autonomously. |
| Document analysis | Methodological technique that involves the use of audiovisual and/or bibliographic documents relevant to the subject matter with activities specifically designed for their analysis. In this case, it will be used in a context of "flipped classroom" in which the theoretical concepts will be reviewed by the students independently prior to the lecture session, in which an activity will be carried out to assess their understanding. |
| Guest lecture / keynote speech | Oral exposition by the teachers of the theory of the subject. |
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