Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Linear Algebra |
Planning |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Linear Algebra | Code | 614G02001 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
First | Basic training | 6 | ||||||||||
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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. |
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