Short Courses - General Information

The following short courses are being offered as a pre-congress activity at WCCM-ECCOMAS 2026

Date
July 19, 2026
LOCATION
WCCM-ECCOMAS Congress Venue
Fee
€250 + VAT (Includes coffee breaks and lunch)
Deadline
June 10, 2026
Schedule
TBC

Each course requires a minimum of 20 participants and has a maximum capacity of 40 participants. Additional registrations above this limit may be accepted upon request.

Short courses that do not reach the minimum number of participants by 10 June 2026 may be cancelled. Participants registered for a cancelled course will receive a full refund of the applicable registration fee.

If you wish to register to a short course, please visit our portal:

Access Registration Portal

Click on the title of each short course below for more information.

01 Introduction to Peridynamics with Applications in ANSYS and Abaqus Erdogan Madenci 02 Verification & Validation of Computational Simulations Luís Eça 03 First-Ply Failure Prediction in Symmetric Composite Laminates Using BEM, CLT, and Tsai Criteria Slimane Debbaghi 04 Immersed Boundary Method and Fluid-Structure Interaction: From Fundamentals to Applications Shang-Gui Cai 05 Elementary multiphysics modeling: a short course on the fundamentals Christopher Nahed 06 Modeling, Discretization, Optimization, and Simulation of Phase-Field Fracture Problems Thomas Wick 07 New trends in nonlinear approximation methods for parametric systems Angelo Iollo, Tommaso Taddei 08 Bayesian calibration of complex models: theory and practical implementation Ignacio Romero, Christina Schenk 09 Introduction and Applications of Generalized Finite Element Methods Nathan Shauer 10 Hands-On Physics-ML with NVIDIA PhysicsNeMo: Transolver Architectures for Surrogate Modelling on Complex Geometries Benet Eiximeno 11 Finite element technology for solid mechanics at finite deformations Mahmood Jabareen, Pedro Areias 12 Multistep Time-Integration Methods Based on NURBS and Bézier curves for Nonlinear Computational Mechanics Ensieh Bakhtiari 13 Machine Learning for Solid Mechanics JS Chen, WaiChing Steve Sun, Qizhi He, Nick Vlassis