Numerical Methods in Biomechanics: Introduction

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Explores the history and tools of scientific computing in neuroscience, emphasizing the simulation of neurons and networks.

Numerical Methods in Biomechanics: Hip-A

Explores numerical methods in biomechanics for hip implants and emphasizes understanding conditions for improved designs and patient outcomes.

Efficient Stochastic Numerical Methods

Explores efficient stochastic numerical methods for modeling and learning, covering topics like the Analytical Engine and kinase inhibitors.

Biological Scope and Computational Simulation

Explores connecting biological scope with computational simulation methods and discusses various simulation environments for modeling neural activity.

Numerical Methods in Hydrodynamics

Covers numerical methods in hydrodynamics, ideal fluids, plasma universe, dark matter simulation, and baryon modeling.

Numerical Differentiation: Part 1

Covers numerical differentiation, forward differences, Taylor's expansion, Big O notation, and error minimization.

Numerical Methods: Iterative Techniques

Covers open methods, Newton-Raphson, and secant method for iterative solutions in numerical methods.

Molecular dynamics under constraints

Explores molecular dynamics simulations under holonomic constraints, focusing on numerical integration and algorithm formulation.

Numerical Methods in Chemistry

Covers the implementation of numerical methods in MATLAB for solving chemical problems.

ODEs: Introduction and Solutions

Covers Ordinary Differential Equations, first-order solutions, and numerical methods for IVP and BVP.

Multigroup Theory: Main Equations and Numerical Solution

Covers the derivation of multi-group diffusion equations and the numerical methods for solving the neutron diffusion equation.

Numerical Integration: Lagrange Interpolation, Simpson Rules

Explains Lagrange interpolation for numerical integration and introduces Simpson's rules.

Numerical Differentiation: Richardson Extrapolation

Covers Richardson extrapolation for numerical differentiation to reduce error.

Computational Science and Engineering: Master Program Overview Log in to Mediaspace to watch this video

Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.

Richards Equation: Water Transfers Simulation Log in to Mediaspace to watch this video

Explores water transfers simulation using the Richards equation and numerical methods.

Programming for Engineers: MATLAB Integration and Differentiation Log in to Mediaspace to watch this video

Explores MATLAB integration, differentiation, ODE solvers, and simulation techniques for dynamic systems.

Numerical Modeling in Biomechanics Log in to Mediaspace to watch this video

Explores numerical modeling in biomechanics, covering musculoskeletal pathologies, modeling objectives, advantages, drawbacks, history, and fluid dynamics in bone-implant gaps.

Introduction to Numerical Methods in Scientific Computing Log in to Mediaspace to watch this video

Covers elementary numerical methods and algorithmic thinking using Python for scientific computing.

Verlet Scheme: Magnetic Fields and Speed Dependent Forces Log in to Mediaspace to watch this video

Explores the Verlet scheme, magnetic fields, speed-dependent forces, and nonlinear physics through simulations and exercises.

Numerical Methods: Differential Equations Log in to Mediaspace to watch this video

Covers the application of numerical methods to solve differential equations using MATLAB.

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