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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Numerical Methods for Data Science |
| Assessment |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Numerical Methods for Data Science | Code | 614G02033 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Fourth | Optional | 6 | ||||||||||
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| Methodologies | Competencies | Description | Qualification |
| ICT practicals | A2 B2 B3 B4 B9 B10 C1 C4 | Several practical small projects will be proposed and evaluated along the course. | 50 |
| Supervised projects | A2 B2 B3 B4 B7 B8 B9 B10 C1 C4 | Teachers will propose a supervised project to each student that he/she will have to defend at the end of the subject. | 20 |
| Objective test | A2 B2 B3 B4 B7 B8 C1 | There will be a written exam on the dates set by the Faculty Board. | 30 |
| Assessment comments | |||
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In order to pass the subject, it is mandatory to attain at least a qualification of 50%. |
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