Summer School 2021 on Random Structures in Optimizations and Related Applications
Scope: This is a free virtual summer school aiming to promote the studies and research activities on random optimizations in complex systems for undergraduate students. The topics will cover a wide range of subjects and tools in probability theory and mathematical physics, especially addressing their applications in machine learning and data science. During the 8-day program, the students are expected to attend two lecture sessions and a group problem session everyday. Additional professional development sessions will discuss graduate school and careers in related fields. Upon the completion, students will receive a certificate issued by the School of Mathematics at the University of Minnesota. This program is financially supported by the National Science Foundation.

Who can apply: Undergraduate students who have received relevant training in introductory probability theory and linear algebra at undergraduate level. While the priority will be given to the undergraduate students, we also encourage the involvement of the first year graduate students.

Time: June 21-25 and June 28-30, 2021


Contact: If you have any questions, please feel free to contact, Wei-Kuo Chen, via email: