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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Process Mining |
| Planning |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Process Mining | Code | 614544025 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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| Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
| Laboratory practice | A9 A14 A15 A16 A20 A21 A31 A30 B2 B4 B5 B9 B10 C8 C9 | 11 | 25 | 36 |
| Guest lecture / keynote speech | A8 A10 A12 A17 A22 A23 A28 A29 B1 B6 B7 C5 | 10 | 25 | 35 |
| Personalized attention | 4 | 0 | 4 | |
| (*)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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