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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Master´s Dissertation |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Master´s Dissertation | Code | 614544030 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Obligatory | 12 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Supervised projects | A31 A30 B1 B2 B3 B4 B5 B7 B8 B9 C2 C3 C4 C6 C7 C8 C9 | 25 | 240 | 265 |
| Seminar | A31 A30 B1 B2 B3 B4 B5 B7 B8 B9 C2 C3 C4 C6 C7 C8 C9 | 5 | 20 | 25 |
| Personalized attention | 10 | 0 | 10 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
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