Meet-U - MB100P06

• Title: 4EU+ Meet-U
• Czech title: Meet-U
• Form of teaching: independent study project
• Guaranteed by: Department of Cell Biology (31-151)
• Faculty: Faculty of Science
• Actual: from 2023
• Duration in semesters: 1
• Semester: winter
• E-Credits: 6
• Examination process: winter s.:
• Hours per week, examination: winter s.:0/5, Ex [HT]
• Capacity: 10
• Maximum number of enrolled students: 10
• Min. number of students: unlimited
• 4EU+: yes
• Virtual mobility / capacity: no
• Key competences: 4EU+ Flagship 3
• State of the course: taught
• Language: English
• Note: enabled for web enrollment
• Guarantor: Mgr. Marian Novotný, Ph.D.

Annotation

Meet-U is a collaborative pedagogical and research initiative between several Universities within 4EU+ iniciative.
Students have to develop an algorithm/program that integrates the theoretical knowledge and technical skills they acquired during their formation to apply them to a concrete problem in Biology. They are guided through all the steps of a project realization, from conception to validation. They learn how to use popular tools for collaborative work, how to collectively conduct a project, and how to exploit cloud computing resources.

Students are in "coopetition": they collaborate within each team and teams compete with each other. Meet-U represents a unique opportunity for them to become actors of a research community and present their work to their scientific peers (jury of researchers). Meet-U also helps them develop their creativity and autonomy and create a network for their professional career.

For the research community, Meet-U is the occasion of exchanging on a common topic, becoming collectively aware of the "local forces" and increasing its visibility in the participating universities and beyond.

The subject/theme of the project and the pedagogical teams will be renewed every couple of years. This will ensure that Meet-U covers different aspects of computational biology, is in constant evolution and stays lively.

To learn more about Meet-U: Abdollahi et al. (2018) PLOS Computational Biology.

Last update: Novotný Marian, Mgr., Ph.D. (27.04.2021)

Literature

The course literature is changing each year based on the topic covered and is provided to students at the start of the course.

Last update: Novotný Marian, Mgr., Ph.D. (27.04.2021)

Course assessment methods and requirements for successful completion, grading scheme

Students work in a group and try to tackle a biological problem with computational tools - they write anreport and present their results to an international comitteee that evaluates wheher they  succeeded based on the report and presentation.

Last update: Novotný Marian, Mgr., Ph.D. (27.04.2021)