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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Programming II |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Programming II | Code | 614G03007 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
First | Basic training | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Laboratory practice | A2 A3 B2 B6 B7 B8 B9 C2 C3 | 20 | 40 | 60 |
| Problem solving | A2 A3 B6 B7 | 10 | 17 | 27 |
| Objective test | B2 B4 B5 B7 B9 | 2 | 0 | 2 |
| Guest lecture / keynote speech | A2 A3 B5 B9 | 30 | 30 | 60 |
| Personalized attention | 1 | 0 | 1 | |
| (*)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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