Summer School and Workshop on Optimization and Operator Learning
As event of SaC3 we organize a summer school and conference at the Universidad Nacional de Trujillo in Trujillo, Peru. School and workshop will take place in February 2026. The summer school will be preceded by a pre-school, in which basic concepts will be taught and which will serve to deepen the knowledge of programming with Python.
This is a first prelimindary announcement. Details follows soon.
Date and location
Universidad Nacional de Trujillo, Trujillo, Peru
February, 2026
Venue
The school will be held in at the Universidad National de Trujillo.
Contents
The main topics of the school include mathematical optimization and the theory of learning operators using methods of machine learning. A group of lecturers, all experts in these fields, will give introductions.
In the afternoon sessions we will go into detail and learn how to apply the methods in simple Python projects. These Python courses are aimed at students with some prior knowledge of Python.
During the last days of the week we will go over to a workshop character. Experts will present their research in the field of mathematical epidemiology. A call for papers for your contributions of posters and talks will be announced.
Pre-School
We will organize a short pre-school with an introduction to numerical linear algebra and scientific computing using Python.
Organizers
Local organizers from Universidad Nacional de Trujillo
Responsible Lecturers for the Summer School
- Peter Benner, Max Planck Institut for Dynamics of Complex Technical Systems Magdeburg
- Malte Braack, Kiel University
- Thomas Richter, Otto von Guericke University Magdeburg
Prelimindary Schedule
Python classes
The Python exercises will be carried on using its powerful ecosystem of scientific computing libraries, including:
- NumPy: For numerical computations and array operations.
- SciPy: For scientific computations, including ODE solvers.
- PyTorch: For machine learning.
Using JupyterLab for Programming
Throughout this course, we will use JupyterLab as a programming tool. JupyterLab provides an interactive environment for writing and running Python code. We highly recommend installing it in your Python environment. Please, follow the installation instructions of the oficial JupyterLab website.
Registration and call for papers
Coming soon
Contact
Thomas Richer at Otto von Guericke University Magdeburg thomas.richter@ovgu.de.
