Hackathon in teaching: applying machine learning to Life Sciences tasks
David Guijo-Rubio 
Víctor Manuel Vargas-Yun 
Javier Barbero-Gómez Proceedings of the 13th international conference on european transnational education (ICEUTE 2022)
Abstract
Programming has traditionally been an engineering competence, but recently it is acquiring significant importance in several areas, such as Life Sciences, where it is considered to be essential for problem solving based on data analysis. Therefore, students in these areas need to improve their programming skills related to the data analysis process. Similarly, engineering students with proven technical ability may lack the biological background which is likewise fundamental for problem-solving. Using hackathon and teamwork-based tools, students from both disciplines were challenged with a series of problems in the area of Life Sciences. To solve these problems, we established work teams that were trained before the beginning of the competition. Their results were assessed in relation to their approach in obtaining the data, performing the analysis and finally interpreting and presenting the results to solve the challenges. The project succeeded, meaning students solved the proposed problems and achieved the goals of the activity. This would have been difficult to address with teams made from the same field of study. The hackathon succeeded in generating a shared learning and a multidisciplinary experience for their professional training, being highly rewarding for both students and faculty members.
BibTex Citation
@inproceedings{Guijo2022Hackathon,
author = {Guijo-Rubio, David and Vargas-Yun, V{\' i}ctor Manuel and Barbero-G{\' o}mez, Javier and Die, Jos{\' e} V. and Gonz{\' a}lez-Moreno, Pablo},
booktitle = {Proceedings of the 13th international conference on european transnational education ({ICEUTE} 2022)},
doi = {10.1007/978-3-031-18409-3_23},
year = {2022},
pages = {236--246},
organization = {Springer},
title = {Hackathon in teaching: applying machine learning to {Life} {Sciences} tasks},
url = {https://doi.org/10.1007/978-3-031-18409-3_23},
volume = {532},
}
BibTex Unicode Citation
@inproceedings{Guijo2022Hackathon,
author = {Guijo-Rubio, David and Vargas-Yun, Víctor Manuel and Barbero-Gómez, Javier and Die, José V. and González-Moreno, Pablo},
booktitle = {Proceedings of the 13th international conference on european transnational education ({ICEUTE} 2022)},
doi = {10.1007/978-3-031-18409-3_23},
year = {2022},
pages = {236--246},
organization = {Springer},
title = {Hackathon in teaching: applying machine learning to {Life} {Sciences} tasks},
url = {https://doi.org/10.1007/978-3-031-18409-3_23},
volume = {532},
}
APA Citation
Guijo-Rubio, D., Vargas-Yun, V. M., Barbero-Gómez, J., Die, J. V., & González-Moreno, P. (2022). Hackathon in teaching: applying machine learning to Life Sciences tasks. Proceedings of the 13th International Conference on European Transnational Education (ICEUTE 2022), 532, 236–246. https://doi.org/10.1007/978-3-031-18409-3_23
RIS Citation
TY - CONF
AU - Guijo-Rubio, David
AU - Vargas-Yun, Víctor Manuel
AU - Barbero-Gómez, Javier
AU - Die, José V.
AU - González-Moreno, Pablo
C3 - Proceedings of the 13th international conference on european transnati
onal education (ICEUTE 2022)
DA - 2022///
C2 - 2022
DO - 10.1007/978-3-031-18409-3_23
ID - temp_id_205343834015
PB - Springer
SP - 236-246
TI - Hackathon in teaching: applying machine learning to Life Sciences task
s
UR - https://doi.org/10.1007/978-3-031-18409-3_23
VL - 532
ER -
CV Citation
D. Guijo-Rubio (CA), V.M. Vargas-Yun, J. Barbero-Gómez, J.V. Die, P. González-Moreno (2/5). "Hackathon in teaching: applying machine learning to Life Sciences tasks". Proceedings of the 13th international conference on european transnational education (ICEUTE 2022), pp. 236–246, 2022.