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Educational guide | |||||||||||||||||||||
| IDENTIFYING DATA | 2023_24 | |||||||||||||||||||||
| Subject | ARTIFICIAL INTELLIGENCE AND NANOTECHNOLOGY | Code | 00707208 | |||||||||||||||||||
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| Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||
| 6 | Compulsory | CA | ||||||||||||||||||||
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| Web | http://agora.unileon.es | |||||||||||||||||||||
| General description | The student will gain knowledge about the artificial intelligence techniques and their use. The student will acquire skills neccesary to build applications with the paradigm of declarative programming. The student will learn the foundations of nanotechnology and will know its applications, stressing the advantages and disadvantages as well as the possible future developments of this scientific field. | |||||||||||||||||||||
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| Competencias |
| Code |
| Learning aims |
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| Contents |
| Topic | Sub-topic |
| Planning |
| Methodologies :: Tests | |||||||||
| Class hours | Hours outside the classroom | Total hours | |||||||
| Forums of discussion | 6 | 6 | 12 | ||||||
| Simulation | 6 | 2 | 8 | ||||||
| Personal tuition | 4 | 0 | 4 | ||||||
| Lecture | 8 | 16 | 24 | ||||||
| 6 | 72 | 78 | |||||||
| 10 | 10 | 20 | |||||||
| Mixed tests | 4 | 0 | 4 | ||||||
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | |||||||||
| Methodologies |
| Description | |
| Forums of discussion | |
| Simulation | |
| Personal tuition | |
| Lecture |
| Personalized attention |
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| Assessment |
| Description | Qualification | ||
| 50% | |||
| 10% | |||
| Mixed tests | 40% | ||
| Other comments and second call | |||
| Sources of information |
| Access to Recommended Bibliography in the Catalog ULE |
| Basic | |
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| Recommendations |