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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Intelligent Cibersecurity |
| Methodologies |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Intelligent Cibersecurity | Code | 614544024 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 3 | ||||||||||
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| Methodologies | Description |
| Guest lecture / keynote speech | Oral presentation complemented by the use of audiovisual media and bringing up some questions addressed to the students, in order to transmit knowledge and facilitate learning. In addition to the oral presentation carried out by the professor, this activity requires the students to dedicate time to prepare and review the class materials on their own. |
| Laboratory practice | Classes dedicated to the development of practical work involving the resolution of complex problems, as well as the analysis and design of solutions that constitute a means for their resolution. This activity may require students to make an oral presentation of the work done. These works can be carried out, depending on the case, either individually or in working groups. |
| Problem solving | These are sessions in which the objective is that students acquire certain competencies based on the resolution of exercises, case studies and projects that require the application of the knowledge and competencies developed during the course. This activity may require students to make an oral presentation of the work done. This work may be done, depending on the case, either individually or in work groups. |
| Objective test | Examination in which both theoretical and practical aspects seen during the course can be evaluated. |
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