ECTS credits ECTS credits: 4.5
ECTS Hours Rules/Memories Student's work ECTS: 74.2 Hours of tutorials: 2.25 Expository Class: 18 Interactive Classroom: 18 Total: 112.45
Use languages Spanish, Galician
Type: Ordinary Degree Subject RD 1393/2007 - 822/2021
Departments: Applied Physics
Areas: Applied Physics
Center Faculty of Physics
Call: First Semester
Teaching: With teaching
Enrolment: Enrollable
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- Introduction to machine learning. Basic concepts. Perceptron algorithm. Main algorithms in Machine Learning (linear regression, logistic, decision trees, random forest, SVM, KNN). Artificial neural networks (mathematical/biological foundation, learning paradigms, main architectures).
- Main molecular constituents. Structures and conformations. Levels of organization. Inter- and intramolecular forces
- Thermodynamics of living systems and related concepts.
- Quantitative biology. Markov chains. Bioinformatics methods. Normal modes, QSAR, QSPR, Docking.
- Mathematical modeling: Lokta-Volterra, van der Pol oscillator, Fitzhugh-Nagumo, Duffing oscillator, nerve impulse (Hodgkin-Huxley model, soliton model), statistical models in genomics, population and epidemiological models. Stochastic processes, random walks.
- Spatio-temporal ordering. Reaction-diffusion equations. Belousov-Zhabotinski, Bruselator, Oregonator, Turing patterns (animal skin patterns).
- Chaos and fractals in Nature.
- Introduction to the main experimental methods in biophysics.
- Introduction to biotechnology: biomimicry, biofunctionalization, LOC (Lab on a Chip) integrated devices.
鈥淧hysical Biology of the cell鈥 Rob Phillips et al. Garland Science, 2013
鈥淔铆sica Biol贸gica. Energ铆a, informaci贸n, vida鈥 Philip Nelson. Revert茅, 2004
鈥淏iof铆sica鈥 M. V. Volkenshtein. Mir, 1985
鈥淢athematical Biology: I & II鈥. J. D. Murray. Springer 2001
鈥淐omputational Physics鈥 Mark Newman, 2012.
鈥淏ioinformatics Algorithms: Design and implementation in Python鈥 Miguel Rocha. AP, 2018.
鈥淏iofisica. Procesos de autoorganizacion e Biolog铆a鈥 Francisco Montero. Federico Mor谩n. Eudema Universidad 1992
鈥淓ntropy, order parameters and complexity鈥. J.P. Sethna. Oxford University Press, 2006.
鈥淎n introduction to Stochastic Processes with Applications to Biology鈥 Linda J. S. Allen. CRC Press 2011
鈥淪tatistical Modelling of Mollecular Descriptors in QSAR/QSPR鈥 Matthias Dehmer, Kurt Varmuza and Danail Bonchev. Wiley 2012.
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Juan Manuel Ruso Veiras
Coordinador/a- Department
- Applied Physics
- Area
- Applied Physics
- Phone
- 881814042
- juanm.ruso [at] usc.es
- Category
- Professor: University Professor
Ram贸n Rial Silva
- Department
- Applied Physics
- Area
- Applied Physics
- ramon.rial [at] usc.es
- Category
- Posdoutoral 奇趣腾讯分分彩
| Wednesday | |||
|---|---|---|---|
| 09:00-10:30 | Grupo /CLE_01 | Spanish | Classroom 830 |
| Thursday | |||
| 09:00-10:30 | Grupo /CLE_01 | Spanish | Classroom 830 |
| Friday | |||
| 09:00-10:30 | Grupo /CLE_01 | Spanish | Classroom 830 |
| 01.16.2025 16:00-20:00 | Grupo /CLE_01 | Classroom 0 |
| 01.16.2025 16:00-20:00 | Grupo /CLE_01 | Classroom 130 |
| 01.16.2025 16:00-20:00 | Grupo /CLE_01 | Classroom 6 |
| 01.16.2025 16:00-20:00 | Grupo /CLE_01 | Classroom 830 |
| 06.17.2025 16:00-20:00 | Grupo /CLE_01 | Classroom 0 |