(I) A study of the fundamentals of inverse problem theory as applied to geophysics. The inversion technology has applicability in all fields of geophysical application, regardless of the physics employed, as well as in non-geophysical data analysis. The course covers fundamental concepts of inversion in the probabilistic and deterministic frameworks, as well as practical methods for solving discrete inverse problems. Topics studied include model discretization, Bayesian inversion, optimization criteria and methods, regularization techniques, error and resolution analysis. Weekly homework assignments addressing either theoretical or numerical problems through programming assignments illustrate the concepts discussed in class. Knowledge of the Python programming language is assumed. Prerequisite: GPGN229, MATH332, GPGN404, CSCI250. Co-requisite: GPGN435. 3 hours lecture; 3 semester hours.
Fall 2019, Spring 2019, Spring 2018, Spring 2017, Spring 2016