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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Natural Language Understanding |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Natural Language Understanding | Code | 614544008 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A2 A3 A4 B1 B3 B6 B7 B10 C2 C8 | 21 | 21 | 42 |
| Laboratory practice | A2 A3 A4 B3 B4 B6 B7 B10 C2 C3 C7 C8 | 14 | 48 | 62 |
| Problem solving | A2 A3 A4 B3 B4 B6 B7 B10 C2 | 7 | 25 | 32 |
| Objective test | A2 A3 A4 B1 B6 B7 C2 | 3 | 9 | 12 |
| Personalized attention | 2 | 0 | 2 | |
| (*)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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