Introduction to model parameter estimation, forward modelling, and data inversion methods in geophysics and related fields. Topics include: discrete linear inverse problems, linear regression and least-squares solutions, maximum likelihood methods, singular value decomposition, uniqueness and accuracy, ill-conditioning and regularization, Bayesian formulation of inverse problems, non-linear regression and non-linear inverse problems.

Prerequisite(s): Calculus 2302A/B or Calculus 2502A/B.

Extra Information: 2 lecture hours, 3 laboratory hours.