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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Logic |
| Planning |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Logic | Code | 614G03016 | |||||||||||
| 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 |
| Guest lecture / keynote speech | A3 A14 B5 B9 | 30 | 45 | 75 |
| Laboratory practice | B2 B7 B10 C2 C3 | 20 | 30 | 50 |
| Seminar | B4 C1 | 10 | 0 | 10 |
| Problem solving | A3 A14 B4 B7 B10 C2 | 10 | 0 | 10 |
| Objective test | A3 A13 B7 C1 | 3 | 0 | 3 |
| 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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