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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