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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Real Time Intelligent Systems |
| Learning aims |
| 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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| Learning outcomes | Study programme competences | ||
| Knowing the features and functions of a real-time system | AC7 AC8 AC9 AC13 AC14 AC15 AC19 AC20 AC21 AC22 |
BC1 BC2 BC5 BC6 BC9 BC10 |
CC2 CC4 CC5 CC6 |
| Ability to design and program a real-time system | AC7 AC8 AC9 AC13 AC14 AC15 AC19 AC22 AC27 |
BC7 BC9 BC10 |
CC2 CC4 CC5 CC6 |
| Knowing the most common programming languages for real-time systems, both synchronous and asynchronous | AC7 AC8 AC9 AC13 AC14 AC15 AC19 AC20 AC21 AC22 AC27 AC28 AC29 AC30 |
BC1 BC2 BC5 BC6 BC7 BC9 BC10 |
CC2 CC4 CC5 CC6 |
| Knowing how to develop trustable software components, with special emphasis on fail tolerance and error recovery | AC7 AC8 AC9 AC13 AC14 AC15 AC19 AC20 AC21 AC22 AC27 AC28 AC29 AC30 |
BC1 BC2 BC5 BC6 BC7 BC9 BC10 |
CC2 CC4 CC5 CC6 |
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