UW Madison summer school in Analysis 2018

About this Program: We will be organizing a summer school in Harmonic Analysis and PDE during May and June 2018 for current undergraduate students in the University of Wisconsin System. Students will be expected to be available during the regular working day (9am-5pm) from May 14-June 15, 2018.

Topics and Structure of the Program: Participants will work collaboratively and with the assistance of graduate student and faculty researchers in the field of Euclidean Harmonic Analysis and PDE to learn topics not usually covered in the standard undergraduate curriculum. This will include reading and understanding recent papers in the field and, in some cases, working to solve open mathematical questions. Participants will produce both a written report and a presentation on their project.

To apply: Students who have taken at least Math 522 or Math 619 (and preferably Math 629 or 721) are encouraged to apply! Those interested in participating should apply by emailing the following to Betsy Stovall. All information should be contained within a single email with the subject "REU 2018 application." These emails may not be read until the deadline, so questions should be sent with a different subject line. Deadlines: All applications received by Friday, March 16, 2018, will begiven equal consideration. Applications will be considered on a rolling basis after that date. We expect to begin notifying participants by Friday, March 23, 2018. Update: Due to some coordination issues with grants, notifications will begin over spring break.
Participant support: We will be able to provide financial support for participants who are either graduate students in Math Education or who are rising seniors or younger. There are some funds available for all participants satisfying the above, including (subject to visa rules) those participants who are not US citizens or permanent residents, and also some funds that are restricted to US citizens or permanent residents by funding agency rules.

Acknowledgements: We gratefully acknowledge the support of the National Science Foundation, in the form of a Research Training Group grant in Analysis and Applications and an individual grant (DMS-1600458).