Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Visión por Computador |
Subjects |
Human Action Recognition |
Study programme competencies |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Human Action Recognition | Code | 614535006 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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Code | Study programme competences / results |
A2 | CE2 - To know and apply machine learning and pattern recognition techniques applied to computer vision |
A3 | CE3 - To know and apply the concepts, methodologies and technologies of image and video analysis |
A4 | CE4 - To conceive, develop and evaluate complex computer vision systems |
A9 | CE9 - To know and apply the concepts, methodologies and technologies for the recognition of visual patterns in real scenes |
B3 | CB8 - That students are able to integrate knowledge and deal with the complexity of making judgements based on information that is incomplete or limited, including reflections on social and ethical responsibilities linked to the application of their knowledge and judgements |
B7 | CG2 - Ability to analyze a company's needs in the field of computer vision and determine the best technological solution for it |
B11 | CG6 - Ability to identify theoretical results or new technologies with innovative potential and convert them into products and services useful to society |
B12 | CG7 - Ability to learn autonomously for specialization in one or more fields of study |
C3 | CT3 - Development of the innovative and entrepreneurial spirit |
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