Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Design and Analysis of Algorithms |
Planning |
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Identifying Data | 2020/21 | |||||||||||||
Subject | Design and Analysis of Algorithms | Code | 614G02011 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Laboratory practice | A4 A5 A6 B2 B3 B7 B9 B10 C1 | 20 | 36 | 56 |
Problem solving | A4 A5 A6 B2 B7 B10 C1 | 10 | 17.5 | 27.5 |
Objective test | A4 A5 A6 B2 B3 B8 B9 | 3 | 7.5 | 10.5 |
Guest lecture / keynote speech | A5 A6 B2 B3 B8 B9 | 30 | 24 | 54 |
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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