Fabio Nobile

EPFL SB MATH CSQI
MA B2 444 (Bâtiment MA)
Station 8
1015 Lausanne

Web site:  Web site:  https://csqi.epfl.ch/

Web site:  Web site:  https://sma.epfl.ch/

EPFL AVP-PGE EDMA-GE
MA B2 424 (Bâtiment MA)
Station 8
1015 Lausanne

Web site:  Web site:  https://go.epfl.ch/phd-edma

EPFL AVP-PGE CDOCT
CE 1 631 (Centre Est)
Station 1
1015 Lausanne

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Infoscience publications

Teaching & PhD

Courses

Numerical analysis

This course introduces and analyzes numerical methods for solving mathematical problems such as linear and nonlinear systems, approximation of functions, integration and differentiation, as well as differential equations.

Introduction to partial differential equations

This is an introductory course on Elliptic Partial Differential Equations. The course will cover the theory of both classical and generalized (weak) solutions of elliptic PDEs.

Stochastic simulation

The student who follows this course will get acquainted with computational tools used to analyze systems with uncertainty arising in engineering, physics, chemistry, and economics. Focus will be on sampling methods as Monte Carlo, quasi Monte Carlo, Markov Chain Monte Carlo.

Numerical methods for data assimilation

This course will review modern techniques for parameter and state estimation in a Bayesian framework for models involving differential equations, with particular attention to the high dimensional setting.