Integrating mathematical modeling into synthetic biology education: a comprehensive approach through webinars and syllabus development

Mathematical modeling is a fundamental aspect of synthetic biology, enabling precise design and analysis of biological systems. To enhance students' understanding of this critical topic, we developed a series of webinars aimed at teaching mathematical modeling to iGEM teams. These webinars were initially created to maintain student engagement during a period of restricted lab access but quickly demonstrated their value as an effective educational tool. The success of these webinars highlighted the suitability of mathematical modeling as a topic well-suited to both onsite and online learning environments. Recognizing this, we expanded the content into a comprehensive syllabus for undergraduate courses in synthetic biology at the Universitat Politècnica de Valencia in Spain and Universidad de las Fuerzas Armadas—ESPE in Ecuador. The course now serves as a core component of synthetic biology education, offering students a robust framework for understanding and applying mathematical models. It includes a series of lectures, practical exercises, and case studies, all designed to deepen students' knowledge and skills in this essential area. To support educators and students, we have also developed a deck of slides and example scripts that provide practical examples and reinforce the concepts taught in the course. This manuscript presents the development, implementation, and impact of these educational initiatives, demonstrating how mathematical modeling can be effectively integrated into synthetic biology curricula to prepare students for real-world challenges in the field.

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Publication Details

Journal
Frontiers in Education
Published
2024-10-18
DOI
https://doi.org/10.3389/feduc.2024.1486293
Citations
1
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.23

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article

Integrating mathematical modeling into synthetic biology education: a comprehensive approach through webinars and syllabus development

Francisco Flores, Yadira Boada, Alejandro Vignoni
1 citations
Frontiers in Education
Gene Regulatory Network Analysis
0.23
article

Integrating mathematical modeling into synthetic biology education: a comprehensive approach through webinars and syllabus development

Francisco Flores, Yadira Boada, Alejandro Vignoni
article en
1 citations

Abstract

Mathematical modeling is a fundamental aspect of synthetic biology, enabling precise design and analysis of biological systems. To enhance students' understanding of this critical topic, we developed a series of webinars aimed at teaching mathematical modeling to iGEM teams. These webinars were initially created to maintain student engagement during a period of restricted lab access but quickly demonstrated their value as an effective educational tool. The success of these webinars highlighted the suitability of mathematical modeling as a topic well-suited to both onsite and online learning environments. Recognizing this, we expanded the content into a comprehensive syllabus for undergraduate courses in synthetic biology at the Universitat Politècnica de Valencia in Spain and Universidad de las Fuerzas Armadas—ESPE in Ecuador. The course now serves as a core component of synthetic biology education, offering students a robust framework for understanding and applying mathematical models. It includes a series of lectures, practical exercises, and case studies, all designed to deepen students' knowledge and skills in this essential area. To support educators and students, we have also developed a deck of slides and example scripts that provide practical examples and reinforce the concepts taught in the course. This manuscript presents the development, implementation, and impact of these educational initiatives, demonstrating how mathematical modeling can be effectively integrated into synthetic biology curricula to prepare students for real-world challenges in the field.

Frontiers in EducationVol. 9
Universidad de las Fuerzas Armadas ESPE (EC), Universidad UTE (EC), Universitat Politècnica de València (ES)
Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Universitat Politècnica de València, Agencia Estatal de Investigación
Quality Education
Openalex Percentile: Top 42%
Gene Regulatory Network Analysis
0.23
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