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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Real Time Intelligent Systems |
| Assessment |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Real Time Intelligent Systems | Code | 614544026 | |||||||||||
| 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 | Competencies | Description | Qualification |
| Guest lecture / keynote speech | A8 A9 A10 A14 A15 A16 A20 A21 A22 A23 A28 A29 A31 A30 B1 B2 B5 B6 B7 B9 B10 C2 C4 C5 C6 | Depending on how the course evolves, a part of the exam could be consolidated by submitting solved exercises along the lecture classes period | 0.5 |
| Laboratory practice | A8 A9 A10 A14 A15 A16 A20 A21 A22 A23 A28 A29 A31 A30 B1 B2 B5 B6 B7 B9 B10 C2 C4 C5 C6 | Submission of one or several practical assignments | 49.5 |
| Objective test | A8 A9 A10 A14 A15 A16 A20 A21 A22 A23 A28 A29 A31 A30 B1 B2 B5 B6 B7 B9 B10 C2 C4 C5 C6 | An individual exam consisting of several exercises that will be assessed up to a maximum of 50 points | 50 |
| Assessment comments | |||
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