This is one of the options that students enrolled in the course
PRODEF039 — Engineering Physics of Data and Computation
can choose. It involves studying topics in Computational Physics adapted to
the research that each student is conducting within their Ph. D. dissertation.
Thus, it is expected that the students develop skills on simulation of
the physical systems related to their research.
Program
Numerical solution of differential equations using the Python programming
language and the
Maxima
Computer Algebra System.
Computing eigenvalues and eigenfunctions of the Schrödinger equation.
Monte Carlo methods.
Solving partial differential equations by the method of finite
differences.
Bibliography
Linge S. & Langtangen H. P. (2020). Programming for
Computations – Python, 2nd edition, Springer, ISBN:
978-3-030-16876-6.
Langtangen H. P. (2016). A Primer on Scientific Programming
with Python, 5th edition, Springer, ISBN: 978-3-662-49886-6.
Landau, R. H., Páez, M. J. & Bordeianu,
C. (2024). Computational Physics: Problem Solving with
Python, 4th edition, Wiley, ISBN: 978-3-527-41425-3.
Kiusalaas, J. (2005). Numerical methods in engineering with
Python. Cambridge University Press, ISBN: 978-0-521-85287-6.
