Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
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Identifying Data | 2022/23 | |||||||||||||
Subject | Algebra | Code | 614G03001 | |||||||||||
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 |
Guest lecture / keynote speech | A1 B2 B3 B5 B7 B9 C3 | 30 | 45 | 75 |
Laboratory practice | A1 B2 B3 B7 B9 C3 | 20 | 30 | 50 |
ICT practicals | B3 B9 | 8 | 12 | 20 |
Objective test | B2 B5 B7 B9 | 3 | 0 | 3 |
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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