Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Intelligent Robotics I |
Planning |
Identifying Data | 2022/23 | |||||||||||||
Subject | Intelligent Robotics I | Code | 614544019 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Obligatory | 3 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Supervised projects | B1 B3 B9 C5 C8 | 2 | 20 | 22 |
Guest lecture / keynote speech | A18 A19 B6 | 10.5 | 10 | 20.5 |
Laboratory practice | B2 B7 C3 C7 | 10.5 | 21 | 31.5 |
Personalized attention | 1 | 0 | 1 | |
(*)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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