Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Virtual 2018) |
Subjects |
Data Analytics with HPC |
Learning aims |
|
|
|
Identifying Data | 2018/19 | |||||||||||||
Subject | Data Analytics with HPC | Code | 614973108 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
|
Learning outcomes | Study programme competences / results | ||
The student will be capable of installing, configuring, and managing the basic software for massive data processing. | AJ1 AJ2 |
BJ2 BJ6 BJ8 BJ10 |
CJ1 |
The student will be capable of coding massive data processing applications using domain-specific languages. | AJ2 |
BJ1 BJ2 BJ10 |
CJ1 |
The student will learn about Data Engineering tools (for Intake/Storage/Processing/Visualization). | AJ1 AJ2 |
BJ1 BJ2 |
CJ1 CJ4 |
The student will learn the skills to search, select and manage Big data-related resources (bibliography, software, etc.). | AJ1 AJ2 |
BJ1 BJ6 |
CJ1 CJ4 |
|