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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Process Mining |
| Methodologies |
| 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 | Description |
| Laboratory practice | They are aimed at students acquiring skills in the implementation and use of process mining techniques. The student will be exposed to a project that must be resolved throughout the subject and whose resolution requires the understanding and application of the theoretical-practical contents included in the contents of the subject. Therefore, in the laboratory practices a project-based learning methodology will be followed. Attendance at these laboratory practices is MANDATORY. |
| Guest lecture / keynote speech | They are aimed at explaining the concepts and characteristics of process mining, with special emphasis on the type of problems it solves and the different kinds of techniques that could be applied to solve each of them. In addition, in these classes the projects that will be developed throughout the subject will be adressed, highlighting the problems of each of the aspects that the students should focus on. |
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