Advanced Numerical Methods for Environmental Modeling – Online Course

The ELEDIA Research Center is pleased to announce the upcoming Intensive Course on

   “Advanced Numerical Methods for Environmental Modeling”

at the Laboratory of Applied Mathematics, University of Trento, Italy

Lecturers: Prof. Ilya Peshkov and Annunziato Siviglia,
Place:     On-site and ONLINE via ZOOM,
Dates:     May 15-31 2024,
Deadline:  the registration deadline is March 31st, 2024.   
Website:   https://lnkd.in/djvuwG5u
Course fee: 216,00 € (6 Credits, 80 hours, includes lecturing material and MATLAB sample codes),

This advanced short course is primarily designed for Master’s and PhD Students in applied mathematics, scientific computing, computational physics and computational mechanics.

Summary: Review of basic theoretical aspects of hyperbolic conservation laws and numerical concepts for hyperbolic equations. Finite volume methods for one-dimensional systems. Godunov’s method. The Riemann problem and approximate Riemann solvers. Godunov-type and TVD finite volume methods for theshallow water equations. Asymptotic preserving staggered semi-implicit schemes for the compressible Euler and Navier-Stokes equations (all Mach number schemes) and their higher-order extension via IMEX. Explicit and implicit schemes for diffusion. Implicit schemes for nonlinear parabolic equations (nonlinear heat conduction, Stefan problem, Richards’ equation). Extension to multiple space dimensions on Cartesian grids. Numerical methods for free surface flows coupled with sediment transport and permeable bottom to account for soil infiltration (shallow-water-Exner system, shallow water equations coupled with the Richards equation). Ecomorphodynamics with applications to sediment transport and sediment transport-vegetation interaction in rivers.

Further information can be found on the dedicated web page:
https://lnkd.in/djvuwG5u

For further questions, please contact:
Prof. Ilya Peshkov
e-mail: ilya.peshkov@unitn.it

Download the course flyer here: https://lnkd.in/dPRsetpF

Università di Trento UniTrento – DICAM