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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Virtual) |
 Subjects |
| Data Analytics with HPC |
| Study programme competencies |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Data Analytics with HPC | Code | 614973108 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Code | Study programme competences |
| A1 | CE1 - Define, evaluate and select the most appropriate architecture and software to solve a problem |
| A2 | CE2 - Analyze and improve the performance of a given architecture or software |
| B1 | CB6 - Possess and understand the knowledge that give a baseline or opportunity to be original in the development and/or application of ideas, often in a research environment |
| B2 | CB7 - The students have to know how to apply the acquired knowledge and their capacity to solve problems in new or hardly explored environment inside wider contexts (or multidiscipinary) related to its area of development |
| B6 | CG1 - Be able to search and select useful information to solve complex problems, using the bibliographic sources of the field |
| B8 | CG3 - Be able to maintain and extend properly funded theoretical hypothesis to allow the introduction and exploitation of novel and advanced technologies in the field |
| B10 | CG5 - Be able to work in teams, specially multidisciplinary, and do a proper time and people management and decision taking |
| C1 | CT1 - Use the basic technologies of the information and computing technology field required for the professional development and the long-life learning |
| C4 | CT4 - Value the importance of research, innovation and the technological development in the socioeconomical and cultural advance of the society |
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