CERN, Yandex School of Data Analysis, Laboratory of Methods for Big Data Analysis of HSE University, and High Energy Physics Laboratory at EPFL rely on Constructor to build an online platform for an innovative summer program covering the young area of data analysis and computational research that has started to emerge in High Energy Physics (HEP).
The two-week course, offered by The Seventh Machine Learning summer school, held in July of 2021, is a 100% online Machine Learning High Energy Physics (MLHEP) course that spans a variety of topics. Starting from traditional Machine Learning approaches to Deep Neural Networks techniques. The materials, deployed on the Constructor platform, provide students with an engaging escapade in this new field including the theoretical introduction and practical experience. The ultimate goal is to learn how to apply acquired knowledge better to solve their specific problems.
Through the Constructor Learning Management System (LMS), students will be able to better engage, interact and connect not only with course materials but also one another and their instructors, creating a more enriched and dynamic online learning environment. The course, built on Pelican, offers concrete examples and hands-on tutorials, as well as a special data-science competition designed to allow participants to get a better feeling of real-life machine learning (ML) application scenarios. Through Constructor’s digital ecosystem for Active Education, students will gain practical knowledge through transformative online learning.
Designed for Ph.D. students and postdoctoral researchers, the ECTS-accredited MLHEP course virtually brings together more than 100 students from all over the world to participate in the MLHEP 2021 course. Merging a diverse group of advanced scientists and researchers made possible due to the advanced technologies of today’s online learning offerings.
To learn more about how Constructor’s digital platform solution can transform your online courses and training into high-engagement knowledge discovery contact us at firstname.lastname@example.org or request a demo.