Educational guide | ||||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2023_24 | |||||||||||||||||||||||||||||||||||||||
Subject | MATHEMATICAL MODELLING, NEURAL NETWORKS AND GENETIC ALGORITHMS | Code | 00208020 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
4.5 | Compulsory | Second | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | MATEMATICAS |
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Coordinador |
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mmlopc@unileon.es asaes@unileon.es |
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Lecturers |
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Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | This subject provides knowledge about mathematic modelling of Biotechnology typical problems and how using it in writing calculates and programming. In some cases, this calculates don't have traditional methods, so it's necessary to introduce intelligent artificial concepts. These procedures are usual in Biotechnological context | |||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencias |
Code | |
A14086 | |
A14089 | |
A14090 | |
A14099 | |
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 | |||
A14089 |
C4 C5 |
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A14086 |
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A14090 A14099 |
Contents |
Topic | Sub-topic |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Practicals using information and communication technologies (ICTs) in computer rooms | 30 | 45 | 75 | ||||||
Portfolios/Learning folder | 1 | 1.5 | 2.5 | ||||||
Lecture | 10 | 15 | 25 | ||||||
Extended-answer tests | 4 | 6 | 10 | ||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
Practicals using information and communication technologies (ICTs) in computer rooms | |
Portfolios/Learning folder | |
Lecture |
Personalized attention |
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Assessment |
Description | Qualification | ||
Practicals using information and communication technologies (ICTs) in computer rooms | 40% | ||
Extended-answer tests | 60% | ||
Other comments and second call | |||
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic |
Michalewicz, Z., Genetic Algorithms + Data Structures = Evolution Programs, Springer, Kreith, K. Chakerian, D., Iterative Algebra and Dynamic Modeling, Springer, 1999 Murray, JD., Mathematica Biology I: An introduction, Springer-Verlag, 2002 Isasi Viñuela, P. Galván León, IM., Redes de neuronas artificiales, Prentice-Hall, 2004 |
Complementary | |
Recommendations |
Subjects that it is recommended to have taken before | |||
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