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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Discrete Mathematics |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Discrete Mathematics | Code | 614G03003 | |||||||||||
| 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 | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A1 A2 B5 B7 C3 | 30 | 45 | 75 |
| Laboratory practice | A1 A2 B2 B9 C3 | 20 | 30 | 50 |
| Seminar | B2 B3 C3 | 8 | 12 | 20 |
| Objective test | A1 A2 B5 B7 C3 | 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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