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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Signal Acquisition and Processing |
| Planning |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Signal Acquisition and Processing | Code | 614G03011 | |||||||||||
| 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 | A7 B5 | 20 | 10 | 30 |
| Objective test | A7 B2 B5 B7 C3 | 3 | 8 | 11 |
| Problem solving | A7 B2 B5 B7 C2 C3 | 10 | 17 | 27 |
| Laboratory practice | A7 B2 B5 B7 B10 C2 C3 | 30 | 50 | 80 |
| 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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