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 / Results | Teaching hours (in-person & virtual) | 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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