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Teaching GuideTerm Faculty of Science |
| Mestrado Universitario en Neurociencia (Plan 2011) |
 Subjects |
| Biological and Computational Models of Knowledge Representation |
| Learning aims |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Biological and Computational Models of Knowledge Representation | Code | 610490017 | |||||||||||
| 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 | ||
| Understand the neurobiological basis on which adaptive systems are based, from which they derive their structure and functionalities | AR4 AR5 |
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| To understand the characteristics of natural knowledge and its representation and to know the mode of reasoning of the adaptive systems and of the different methods for their learning | AR4 AR9 |
BR8 BR10 |
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| To study the fundamental process of modeling an adaptive system | AR4 AR9 |
BR4 BR5 BR8 BR10 |
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