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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Networks |
| Methodologies |
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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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| Methodologies | Description |
| Guest lecture / keynote speech | The university virtual platform will be used as a basis to publish all the required material to follow the lectures. During the lectures the theoretical concepts of the subject will be presented, encouraging the student participation. |
| Laboratory practice | The university virtual platform will be used as a basis to publish all the required material to do the laboratory practices. In the laboratory the students must deepen certain theoretical issues of the subject. In order to achieve this objective, there will be laboratories based on network emulation/simulation and/or protocol analyzer tools, as well as virtualization and services/cloud computing. |
| Seminar | The university virtual platform will be used as a basis to publish all the required material to do the seminars. Through the seminars, certain contents of the subject will be deepened through the completion of work and/or tests by the student. |
| Objective test | At the end of the four-month period there will be an exam where the student must prove his knowledge of the subject. |
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