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Teaching GuideTerm Faculty of Science |
Guía Provisional
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| Grao en Nanociencia e Nanotecnoloxía |
 Subjects |
| Fundamentals of Mathematics |
| Sources of information |
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| Identifying Data | 2024/25 | |||||||||||||
| Subject | Fundamentals of Mathematics | Code | 610G04001 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
First | Basic training | 6 | ||||||||||
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| Basic |
Ron Larson, Bruce Edwards (Edición 10ª.2018.). Cálculo. Tomo I. Cengage Learning
Denis G. Zill, Warren S. Wright (2013). Ecuaciones Diferenciales con problemas con valores en la frontera (capítulo 11). Brooks/Cole Cencage Learningl
Robert G. Mortimer (2013). Mathematics for Physical Chemistry. Pearson
Edward Jen Herman, Gilbert Strang (). Calculus. Volumen 1. https://openstax.org/details/books/calculus-volume-1
Edward Jen Herman, Gilbert Strang (). Calculus. Volumen 2. https://openstax.org/details/books/calculus-volume-2
W. Keith Nicholson (). Linear Algebra with Applications. https://lyryx.com/linear-algebra-applications/
Svein Linge, Hans P. Langtangen (2017). Programming for Computations - Python. A Gentle Introduction to Numerical Simulations with Python. Springer. Texts in Computational Science and Engineering
Jeffrey J. Heys (2017). Chemical and Biomedical Engineering Calculations using Python. Wiley |
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| Complementary |
Jay Abramson (). Precalculus. https://openstax.org/details/books/precalculus
Stanley Grossman. (). Álgebra Lineal (Ed 7ª). McGraw-Hill.
Robert Johansson (2018). Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib. Apress
Rubin H. Landau, Manuel J. Paez, Christian C. Bordeiany (2007). Computational Physics: Problem Solving with Computers. Wiley VCH Verlag GmbH |
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