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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| AI Fundamentals |
| Learning aims |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | AI Fundamentals | Code | 614544001 | |||||||||||
| 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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| Learning outcomes | Study programme competences | ||
| Know the fundamental principles and basic techniques of artificial intelligence | AC4 AC16 |
BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC8 |
CC2 CC3 CC4 CC6 CC7 CC8 CC9 |
| Distinguish when it is more appropriate to apply artificial intelligence techniques to solve a problem | AC4 AC16 |
BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC8 |
CC2 CC3 CC4 CC6 CC7 CC8 CC9 |
| Know how to use and apply basic tools and techniques of artificial intelligence | AC4 AC16 |
BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC8 |
CC2 CC3 CC4 CC6 CC7 CC8 CC9 |
| Acquire the basic operating principles of the main automatic reasoning techniques and planning methods | AC4 AC16 |
BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC8 |
CC2 CC3 CC4 CC6 CC7 CC8 CC9 |
| Know and understand that the resolution of certain problems in Artificial Intelligence implies defining a representation of the problem and a search process for the solution | AC4 AC16 |
BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC8 |
CC2 CC3 CC4 CC6 CC7 CC8 CC9 |
| Identify if a given problem is likely to be solved by search techniques and decide, based on well-founded criteria, the most appropriate technique to solve it | AC4 AC16 |
BC1 BC2 BC3 BC4 BC5 BC6 BC7 BC8 |
CC2 CC3 CC4 CC6 CC7 CC8 CC9 |
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