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 / Results | Teaching hours (in-person & virtual) | 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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