Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
AI Fundamentals |
Learning aims |
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Identifying Data | 2023/24 | |||||||||||||
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 / results | ||
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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