Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Process Mining |
Learning aims |
Identifying Data | 2022/23 | |||||||||||||
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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Learning outcomes | Study programme competences / results | ||
Know the main process discovery techniques and be able to select the most appropriate for a given domain. | AC7 AC13 AC14 AC16 AC28 |
BC7 BC9 |
CC5 CC9 |
Know how to apply search and optimization techniques to verify the conformity of a process. | AC15 AC29 AC30 |
BC9 |
CC8 |
Know and develop solutions based on artificial intelligence for predictive monitoring. | AC9 AC11 AC16 |
BC4 BC7 BC10 |
CC9 |
Understand and solve optimization problems in business processes. | AC21 |
BC5 BC9 |
CC9 |
Know and understand the quality metrics of a process. | AC11 AC22 |
BC6 |
CC5 |
Know the main problems that process mining solves. | AC8 AC19 AC20 AC27 |
BC1 BC2 BC6 BC7 BC10 |
CC5 CC8 |
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