Inverse Problems: Systematic Integration of Data with
Models under Uncertainty
2018 Gene Golub SIAM Summer School
June 17-30, 2018 Breckenridge, Colorado, USA
The summer school aims to introduce graduate students to the mathematical and computational aspects of inverse problems, particularly modern developments that emphasize the quantification of uncertainty in the inverse solution within the framework of Bayesian inference. The target audience is PhD and appropriate MS students in mathematics and related fields such as computer science, statistics, engineering, and science.
For more information, please visit: http://g2s3.com/. The deadline for applications is February 1, 2018.