Fabio Nobile

photo placeholder image

Full Professor

fabio.nobile@epfl.ch +41 21 693 54 11 http://csqi.epfl.ch

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

+41 21 693 54 11
+41 21 693 42 44
Office:  MA B2 444
EPFL > SB > MATH > CSQI

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

+41 21 693 54 11
EPFL > SB > SB-SMA > SMA-ENS

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

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

+41 21 693 54 11
+41 21 693 79 22
Office:  MA B2 444
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDMA-GE

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

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

+41 21 693 54 11
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > CDOCT

vCard
Administrative data

Publications

Infoscience publications

Teaching & PhD

Teaching

Mathematics

PhD Students

Raviola Matteo, Saporiti Riccardo, Trigo Trindade Thomas Simon Spencer, Zoccolan Fabio,

Past EPFL PhD Students

Ganesh Sundar Subramaniam , Guignard Diane Sylvie , Madrigal Cianci Juan Pablo , Martin Matthieu Claude , Musharbash Eleonora , Pisaroni Michele , Pradovera Davide , Tesei Francesco , Vidlicková Eva , Zanoni Andrea ,

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.