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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 | 2022/23 | |||||||||||||
| 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 | Ordinary class hours | 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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