Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Language Modelling |
Planning |
Identifying Data | 2022/23 | |||||||||||||
Subject | Language Modelling | Code | 614544009 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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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 | 10 | 10 | 20 |
Laboratory practice | A2 A3 B3 B4 B6 B7 B10 C2 C3 C7 C8 | 5 | 17 | 22 |
Problem solving | A2 A3 B3 B4 B6 B7 B10 C2 C8 | 6 | 15 | 21 |
Multiple-choice questions | A2 A3 B1 B6 B7 B10 C2 | 0 | 1 | 1 |
Objective test | A2 A3 B1 B6 B7 B10 C2 C3 | 2 | 8 | 10 |
Personalized attention | 1 | 0 | 1 | |
(*)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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