- Introduction to Probability, 1st ed, by Anderson, Seppalainen,
and Valko

- Applied Linear Algebra, 1st ed, by Olver and Shakiban

- Morning section: Two 75-minute main lectures
- Afternoon section: (1) discussion and problem sessions and (2) invited talks
- Main lecturers and topics:

Name

Topic

Jeff Calder

Partial Differential Equations and Graph Based Learning

Wei-Kuo Chen

Statistical Physics and Random Optimizations

William Leeb

Applications of Random Matrix Theory to Data Analysis

Arnab Sen

Sparse Recovery and Community Detection

- Start: March 2, 2020
- Deadline: We do not accept applications
anymore, see the announcement on top.

- Application materials:
- A brief CV
- A short statement about the financial support needed

- A recommendation letter from a professor

- Please email your application to wkchen@umn.edu with the subject title: [RSODS Summer School Application]

**Funding: **We have some funding available (supported by the
National Science Foundation) to cover your local expenses.