Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Networks |
Learning aims |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Networks | Code | 614G03013 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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Learning outcomes | Study programme competences / results | ||
To understand the basic operation of current computer networks and the importance of the standardised protocols. | A4 |
B2 B5 B7 |
C3 |
To understand the operation of the protocols on which the Internet and current local networks are based. | A4 |
B2 B5 B7 |
C3 |
To learn how to configure and manage a local network. | A4 |
B2 B5 B7 |
C3 |
To understand the bases of cloud computing, and cloud models. | A4 A5 A6 |
B2 B5 B7 |
C3 |
To know the different mechanisms of server virtualisation and be able to deploy virtualised systems. | A4 |
B2 B5 B7 |
C3 |
To know and understand the different service and deployment models related to cloud computing, as well as the services provided by Artificial Intelligence oriented cloud providers. | A5 A6 |
B2 B5 B7 |
C3 |
To set in motion cloud services. | A5 A6 |
B2 B5 B7 |
C3 |
To know how to conceive and design new applications based on the Internet or the technologies that support it. | A4 A5 A6 |
B2 B5 B7 |
C3 |
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