|
Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Linear Algebra |
| Planning |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Linear Algebra | Code | 614G02001 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
First | Basic training | 6 | ||||||||||
|
||||||||||||||
| Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
| Laboratory practice | A12 A27 A1 A2 B1 B5 B6 | 20 | 45 | 65 |
| Collaborative learning | A26 A1 B6 B9 C1 C3 | 8 | 11 | 19 |
| Objective test | A1 A2 B9 | 3 | 0 | 3 |
| Guest lecture / keynote speech | A33 A1 B3 B6 | 30 | 30 | 60 |
| Personalized attention | 3 | 0 | 3 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
|
