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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Web Intelligence and Semantic Technologies |
| Methodologies |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Web Intelligence and Semantic Technologies | Code | 614544010 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Methodologies | Description |
| Problem solving | Sessions whose objective is that students acquire certain skills based on the resolution of exercises, case studies and projects that require the student to apply the knowledge and skills developed during the course. These sessions may require the student to present orally the solution to the problems posed. The work carried out by the students can be done individually or in work groups. |
| Laboratory practice | Classes dedicated to the development of practical work involving the resolution of complex problems, and the analysis and design of solutions that constitute a means for their resolution. This activity may require students to present their work orally. The work carried out by the students can be done individually or in work groups. |
| Mixed objective/subjective test | Final exam |
| Guest lecture / keynote speech | Oral exposition complemented with the use of audiovisual media and the introduction of some questions directed to the students, with the purpose of transmitting knowledge and facilitating learning. In addition to the time of oral exposition by the professor, this formative activity requires the student to dedicate some time to prepare and review on their own the materials object of the class. |
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