Multiscale Modeling and its Applications

About

Multiscale modeling is a powerful approach to studying complex systems in various fields such as biology, chemistry, physics, and engineering. It involves using multiple models at different scales, from the microscopic level to the macroscopic level, to understand how a system behaves and evolves over time.

During this summer school, participants will learn the fundamentals of multiscale modeling, including how to identify the relevant scales for a given problem and how to integrate different models to create a comprehensive and accurate description of the system. They will also have the opportunity to see these concepts applied to real-world problems.

The summer school is designed for advanced master and PhD students with a background in mathematics, physics, engineering, computer science, or a related field. It will provide a unique opportunity to gain hands-on experience in multiscale modeling and to network with experts in the field.

The programme will consist of 4 mini-courses led by leading researchers in mathematics, numerical analysis, physics, and engineering. It will also include a couple of tutorial sessions for a more thorough learning experience.

Overall, this summer school will provide a comprehensive introduction to the exciting field of multiscale modeling, equipping participants with the skills and knowledge they need to tackle complex problems and advance their careers.

Course leader

Hildeberto Jardón Kojakhmetov , Faculty of Sciences and Engineering

Target group

This summer school is designed for advanced master students and PhD students. Students of, but not restricted to, (applied) mathematics, (bio)physics, engineering, neuroscience, and computer science will largely benefit from the school.

It is expected that the participants have a sufficient command of the English language to actively participate in the discussions and to present their own work in English.

Course aim

After this course you will be able to:

Understand the fundamental concepts and principles of multiscale modeling, including how to identify the relevant scales for a given problem and how to integrate different models.
Get acquainted with tools and techniques to apply multiscale modeling to real-world problems in various fields such as biology, chemistry, physics, and engineering.

Fee info