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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Visión por Computador |
 Subjects |
| Advanced Machine Learning for Computer Vision |
| Study programme competencies |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Advanced Machine Learning for Computer Vision | Code | 614535008 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Obligatory | 6 | ||||||||||
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| Code | Study programme competences |
| A2 | CE2 - To know and apply machine learning and pattern recognition techniques applied to computer vision |
| B1 | CB6 - To possess and understand knowledge that provides a basis or opportunity to be original in the development and/or application of ideas, often in a research context |
| B2 | CB7 - That students are able to apply their acquired knowledge and problem-solving skills in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their area of study |
| B5 | CB10 - That students possess the learning skills to enable them to continue studying in a largely self-directed or autonomous manner |
| B6 | CG1 - Ability to analyze and synthesize knowledge |
| B8 | CG3 - Ability to develop computer vision systems depending on existing needs and apply the most appropriate technological tools |
| B10 | CG5 - Ability to identify unsolved problems and provide innovative solutions |
| B11 | CG6 - Ability to identify theoretical results or new technologies with innovative potential and convert them into products and services useful to society |
| C1 | CT1 - Practice the profession with a clear awareness of its human, economic, legal and ethical dimensions and with a clear commitment to quality and continuous improvement |
| C2 | CT2 - Ability to work as a team, organize and plan |
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