About this paper

Appears in:
Pages: 2236-2242
Publication year: 2020
ISBN: 978-84-09-17939-8
ISSN: 2340-1079
doi: 10.21125/inted.2020.0687

Conference name: 14th International Technology, Education and Development Conference
Dates: 2-4 March, 2020
Location: Valencia, Spain

DESIGN AND DEVELOPMENT OF A VIRTUAL LABORATORY IN PYTHON FOR THE TEACHING OF DATA ANALYSIS AND MATHEMATICS IN GEOLOGY: GEOPY

In the 1950s, Geology became a quantitative discipline, and since then Mathematics and Statistics are essential subjects for geologists. In this paper, we present the development of scripts in Python (version 3.5.1) oriented to the teaching of mathematics, statistics and data analysis in geology. The general objective is the creation of a ‘Virtual Laboratory’ of Geomathematics in Python, known as GeoPy (Geology in Python). GeoPy is a set of scripts that configures a course for undergraduate university students to learn how to apply models and methods of Geomathematics (Mathematics and Statistics), through the analysis and solving of real geological cases and phenomena.

The project seeks to develop the following teaching objectives. First, to introduce the use of the computer as an element that helps to integrate mathematical and statistical skills into the field under study: Earth sciences or Geology. Second, the use of real data from geological phenomena allow students to put into practice the knowledge acquired in mathematics and statistics (i.e. differential and integral calculation, univariate and bivariate descriptive statistics, probability models and statistical tests, simple linear regression analysis, ANOVA model, etc.).

The teaching material, i.e. explanations, scripts and examples have been gathered and organized into a website. All material can be freely downloaded, whether electronic documents describing the mathematical and statistical models used, the geological problems selected, Python programming notions, etc. In addition, videos in mp4 format are included with explanations on the statistical outputs. The web pages also include links to other web sites with relevant information on geological phenomena that are the object of study and experimentation.

Acknowledgement:
This project has been funded by the Complutense University of Madrid under the program 'Proyectos de Innovacion'. 2016/211.
@InProceedings{LOPEZGONZALEZNIETO2020DES,
author = {Lopez Gonzalez-Nieto, P. and Gomez Flechoso, M. and Arribas Mocoroa, M.A. and Mu{\~n}oz Martin, A. and Garcia Lorenzo, M.L. and Cabrera Gomez, G. and Alvarez Gomez, J.A. and Caso Fraile, A. and Orosco Dagan, J.M. and Merinero Palomares, R. and Lahoz-Beltra, R.},
title = {DESIGN AND DEVELOPMENT OF A VIRTUAL LABORATORY IN PYTHON FOR THE TEACHING OF DATA ANALYSIS AND MATHEMATICS IN GEOLOGY: GEOPY},
series = {14th International Technology, Education and Development Conference},
booktitle = {INTED2020 Proceedings},
isbn = {978-84-09-17939-8},
issn = {2340-1079},
doi = {10.21125/inted.2020.0687},
url = {http://dx.doi.org/10.21125/inted.2020.0687},
publisher = {IATED},
location = {Valencia, Spain},
month = {2-4 March, 2020},
year = {2020},
pages = {2236-2242}}
TY - CONF
AU - P. Lopez Gonzalez-Nieto AU - M. Gomez Flechoso AU - M.A. Arribas Mocoroa AU - A. Muñoz Martin AU - M.L. Garcia Lorenzo AU - G. Cabrera Gomez AU - J.A. Alvarez Gomez AU - A. Caso Fraile AU - J.M. Orosco Dagan AU - R. Merinero Palomares AU - R. Lahoz-Beltra
TI - DESIGN AND DEVELOPMENT OF A VIRTUAL LABORATORY IN PYTHON FOR THE TEACHING OF DATA ANALYSIS AND MATHEMATICS IN GEOLOGY: GEOPY
SN - 978-84-09-17939-8/2340-1079
DO - 10.21125/inted.2020.0687
PY - 2020
Y1 - 2-4 March, 2020
CI - Valencia, Spain
JO - 14th International Technology, Education and Development Conference
JA - INTED2020 Proceedings
SP - 2236
EP - 2242
ER -
P. Lopez Gonzalez-Nieto, M. Gomez Flechoso, M.A. Arribas Mocoroa, A. Muñoz Martin, M.L. Garcia Lorenzo, G. Cabrera Gomez, J.A. Alvarez Gomez, A. Caso Fraile, J.M. Orosco Dagan, R. Merinero Palomares, R. Lahoz-Beltra (2020) DESIGN AND DEVELOPMENT OF A VIRTUAL LABORATORY IN PYTHON FOR THE TEACHING OF DATA ANALYSIS AND MATHEMATICS IN GEOLOGY: GEOPY, INTED2020 Proceedings, pp. 2236-2242.
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