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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Explainable and Trustworthy AI |
| Recommendations |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | Explainable and Trustworthy AI | Code | 614544004 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Obligatory | 3 | ||||||||||
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| Subjects that it is recommended to have taken before |
| Subjects that are recommended to be taken simultaneously |
| Subjects that continue the syllabus |
| Other comments | |
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It is recommended to bring the subject up to date and the use of tutoring sessions to clarify doubts and get advise on its development. In addition, it is recommended that students solve, verify and validate all the exercises and practices proposed during the course (no matter if they are or not to be officially evaluated) |
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