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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Programming I |
| Planning |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Programming I | Code | 614G03006 | |||||||||||
| 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 | A2 A3 B2 B3 B4 B5 B6 B7 B8 B9 C2 C3 C6 | 28 | 60 | 88 |
| Objective test | A2 A3 B4 B5 B6 B7 B8 B9 | 2 | 2 | 4 |
| Guest lecture / keynote speech | A2 A3 B2 B3 B5 B7 B8 B9 C3 C6 | 28 | 28 | 56 |
| 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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