Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Ciencia e Tecnoloxías de Información Cuántica |
Subjects |
Quantum Computing and Machine Learning |
Methodologies |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Quantum Computing and Machine Learning | Code | 614551008 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Optional | 3 | ||||||||||
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Methodologies | Description |
Guest lecture / keynote speech | Lectures explain the theoretical concepts using different digital resources. |
Laboratory practice | Laboratory activities are based on the knowledge that students are acquiring in lectures. |
Objective test | A test shall be administered to assess the theoretical and practical knowledge acquired by students |
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