|
Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Computational intelligence for high dimensional data |
| Learning aims |
|
|
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Computational intelligence for high dimensional data | Code | 614522024 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Obligatory | 3 | ||||||||||
|
||||||||||||||
| Learning outcomes | Study programme competences | ||
| To know and understand the paradigms and most relevant aspects of high-dimensional database processing. | AJ2 AJ3 AJ4 AJ6 |
BJ1 BJ2 BJ3 BJ6 BJ7 |
CJ1 CJ3 CJ6 |
| To know and learn how to apply the main data mining methods; to know the main platforms and paradigms used in the field. | AJ2 AJ3 AJ4 AJ6 |
BJ1 BJ2 BJ3 BJ6 BJ7 |
CJ1 CJ3 CJ6 |
|
