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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Algorithms |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Algorithms | Code | 614G03008 | |||||||||||
| 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 |
| Guest lecture / keynote speech | A1 A5 B2 B5 B6 B7 B8 B9 C3 | 28.75 | 28.75 | 57.5 |
| Short answer questions | A1 A5 B2 B5 B6 B7 B8 B9 C3 | 1.25 | 6.25 | 7.5 |
| Laboratory practice | A1 A5 B2 B4 B5 B6 B7 B8 B9 C2 C3 C6 | 19 | 19 | 38 |
| Supervised projects | A5 B2 B4 B6 B7 C3 C6 | 4 | 2 | 6 |
| Problem solving | A1 B2 B5 B6 B7 B8 B9 C3 | 5 | 10 | 15 |
| Objective test | A1 A5 B2 B4 B6 B7 B8 B9 C3 C6 | 4 | 20 | 24 |
| 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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