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Educational guide | |||||||||||||||||||||||||||||||||||||||
| IDENTIFYING DATA | 2023_24 | |||||||||||||||||||||||||||||||||||||||
| Subject | NEURAL AND EVOLUTIONAL COMPUTATION | Code | 00709029 | |||||||||||||||||||||||||||||||||||||
| Study programme |
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| Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
| 6 | Optional | Third | Second |
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| Language |
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| Prerequisites | ||||||||||||||||||||||||||||||||||||||||
| Department | MATEMATICAS |
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| Coordinador | mcarv@unileon.es |
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| Lecturers |
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| Web | http:// | |||||||||||||||||||||||||||||||||||||||
| General description | ||||||||||||||||||||||||||||||||||||||||
| Tribunales de Revisión |
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| Competencias |
| Code | |
| A18096 | |
| A18142 | |
| A18143 | |
| B5618 | |
| B5619 | |
| B5623 | |
| B5624 | |
| B5625 | |
| C1 | CMECES1 That students have demonstrated possession and understanding of knowledge in an area of study that is based on general secondary education, and is usually found at a level that, although supported by advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study |
| C4 | CMECES4 That students can transmit information, ideas, problems and solutions to both a specialised and non-specialised audience |
| C5 | CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy |
| Learning aims |
| Competences | |||
| B5619 B5623 B5624 |
C5 |
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| A18096 |
B5618 |
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| B5619 B5625 |
C1 C4 |
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| A18142 A18143 |
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| Contents |
| Topic | Sub-topic |
| Planning |
| Methodologies :: Tests | |||||||||
| Class hours | Hours outside the classroom | Total hours | |||||||
| Problem solving, classroom exercises | 20 | 30 | 50 | ||||||
| Practicals using information and communication technologies (ICTs) in computer rooms | 20 | 20 | 40 | ||||||
| Seminars | 4 | 12 | 16 | ||||||
| Lecture | 16 | 20 | 36 | ||||||
| Extended-answer tests | 6 | 0 | 6 | ||||||
| Objective short-answer tests | 2 | 0 | 2 | ||||||
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | |||||||||
| Methodologies |
| Description | |
| Problem solving, classroom exercises | |
| Practicals using information and communication technologies (ICTs) in computer rooms | |
| Seminars | |
| Lecture |
| Personalized attention |
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| Assessment |
| Description | Qualification | ||
| Extended-answer tests | 60% | ||
| Other comments and second call | |||
| Sources of information |
| Access to Recommended Bibliography in the Catalog ULE |
| Basic |
Haykin., Neural Networks. A comprehensive foundation. , Macmillan.1994. ,
Fausett, Fundamentals of Neural Networks. Architectures, algorithms, and applications., PrenticeHall.1994.,
Z. Michalewicz, Genetic Algorithms + Data Stuctures = Evolution programs. trd Edition, Springer-Verlag (1994),
David E. Goldberg, Genetic algorithms in search, optimization and machine learning, Addison-Wesley,
A.E. Eiben y J.E. Smith, Introduction to Evolutionary Computing, Springer (2015),
Hertz, Krogh, Palmer., Introduction to the theory of neural computation. , Addison-Wesley. 1991.,
P. Isasi Viñuela e I.M. Galván León, Redes de neuronas artificiales. Un enfoque práctico, Prentice Hall (2004),
Freeman / Skapura. 1993. , Redes Neuronales. Algoritmos, aplicaciones y técnicas de programación., , |
| Complementary |
M. Iglesias, B.Naudts, A. Verschoren and C. Vidal, A combinatorial approach to epistasis, Springer (2005),
R. Penrose, La Nueva Mente del Emperador, Mondadori España S.A. (1991), |
| Recommendations |
| Subjects that it is recommended to have taken before | ||||||
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