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Teaching GuideTerm Higher Polytechnic University College |
| Mestrado Universitario en Enxeñaría Industrial (plan 2018) |
 Subjects |
| Introduction to Machine Learning |
| Learning aims |
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| Identifying Data | 2022/23 | |||||||||||||
| 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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| Learning outcomes | Study programme competences | ||
| Coñecer as principais técnicas de clasificación supervisada e non supervisada, e o seu uso práctico | AJ8 |
BJ1 BJ2 BJ6 BJ13 |
CJ1 CJ3 |
| Know the non-resolved problems in autonomous robotics | AJ8 |
BJ1 BJ4 BJ6 BJ13 BJ14 |
CJ1 CJ3 CJ11 |
| Know the problems of sensing and actuation in systems that operate in the real world and real time | AJ8 |
BJ1 BJ4 BJ6 BJ13 BJ14 |
CJ1 CJ3 CJ11 |
| Know the problems of knowledge representation in autonomous robotics | BJ1 BJ4 BJ5 BJ6 BJ14 BJ16 |
CJ1 CJ6 CJ7 CJ8 |
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| Know the problems to tackle when an autonomous robotic control system is developed | BJ1 BJ2 BJ3 BJ13 BJ14 BJ15 |
CJ3 CJ6 CJ7 CJ8 CJ9 CJ11 |
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