Teaching GuideTerm Faculty of Computer Science |
Guía Provisional |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Numerical Methods for Data Science |
Assessment |
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Identifying Data | 2024/25 | |||||||||||||
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 / Results | Description | Qualification |
ICT practicals | A2 B2 B3 B4 B9 B10 C1 C4 | Several practical small projects will be proposed and evaluated along the course. | 30 |
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 |
Problem solving | A2 B2 B4 B9 B10 | During the course there will be some small tests. They will consist on solving problems of the same type as those studied during the classes. | 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 | |||
In order to pass the subject, it is mandatory to attain at least a qualification of 50%. In the extraordinary call there will be an objective test. It will not be possible to recover the part of the final mark corresponding to continuous assessment. Part-time students and those with academic dispensation of attendance exemption that have not been evaluated of ICT practicals can do a specific exam to recover 70% of the final mark; they can obtain 30% of the final mark with the objective test. Fraudulent performance of the tests or evaluation activities, once verified, will directly imply a mark of "0" in the subject, invalidating any grade obtained in all the evaluation activities. |
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