Magnetic Pendulum

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Explores nonlinear dynamics in optomechanical systems, covering instability, limit cycles, synchronization, chaos, and simulations.

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Explores VHDL for simulation, debugging, time modeling, event-based simulation, and testbench creation in digital system design.

Optimization and Simulation

Explores statistical analysis, mean square error, and bootstrapping methods in optimization and simulation.

Efficient Stochastic Numerical Methods

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

Scientific Computing in Neuroscience

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

Introduction to Computational Science: Course Overview and Objectives

Introduces the Computational Science option at EPFL, detailing course objectives and programming fundamentals using Python.

Turbulence: Simulation and Models

Explores turbulence simulation, modeling forces, and flow features using CFD, emphasizing challenges and modeling assumptions.

Markov Chains: Simulation and Optimization

Explores Markov chains, Metropolis-Hastings, and simulation for optimization purposes, highlighting the significance of ergodicity in efficient variable simulation.

Optimization and Simulation

Covers optimization and simulation techniques for drawing from multivariate distributions and dealing with correlations.

Network Simulation and Activity Dynamics

Explores neural network simulation, activity dynamics, and validation processes to ensure accurate predictions.