Course: STAT 31151=CAAM 31151
Title: Inverse Problems and Data Assimilation: A Machine Learning Approach
Instructor: Daniel Sanz-Alonso
Class Schedule: Sec 1: TR 9:30 AM–10:50 AM in Harper Memorial 130
Description: This course demonstrates the potential for ideas in machine learning to impact on the fields of inverse problems and data assimilation. The course is primarily aimed at researchers in inverse problems and data assimilation interested in a succinct and mathematical presentation of various topics in machine learning as it pertains to their fields. Grading will be based on a computational project and on oral presentations of research papers.