|
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 |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
|
||||||||||||||
| 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 | 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. | ||||
|
