2026-05-31T02:36:21Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/181492026-02-03T12:08:45Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Aguilera-Venegas, Gabriel
author
Galán-García, José Luis
author
Galán-García, María Ángeles
author
Rodríguez-Cielos, Pedro
author
Padilla-Domínguez, Yolanda Carmen
author
Galán-Luque, María
2019-07-25T10:47:16Z
2019-07-25T10:47:16Z
2019-07-25
https://hdl.handle.net/10630/18149
Our group introduced random samples generation using a CAS, specifically Derive, in the
Derive session of ACA 2009. This talk was extended in a paper published in The Derive
Newsletter. In the year 2017 we presented a new version focused on research of the
random samples generator in STATA that was communicated in [2]. Now a new version of
the generator is being implemented in Python with the symbolic pack Simpy. In this case,
our we are mainly focused in education.
We are now researching in extensions of the Conway’s Game of Life, specifically using probabilistic
cellular automata. Our long-term goal is the simulation of the growth of cancerous
tissues. We have supervised a master thesis with the preliminary works in this topic. For
the generation of random numbers involved in the probabilistic automata of this work, we
have used the results developed in the previous mentioned work. A summary of this work is
about to be published in Advances in Computational Mathematics [3]. This work is both, an
education and a research experience for the student who carried out the master thesis.
Moreover, the experience of teaching the subject Statistics to engineering students using the
material developed for random samples generation has turned out to be useful in the teaching
and learning process. The marks obtained in this subject by the students are statistically
significantly better than the marks obtained by students of the same subject in others group of
engineering where this material has not been used. A brief statistical study about the situation
is carried out.
eng
Using a CAS-developed random samples generator for teaching and research in probabilistic cellular automata and Statistics
conference output
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