Coarse-Grained Simulations: Basics and Applications

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Covers the fundamentals of lipids, their roles in the cell membrane, and the influence of (un)saturated chains and cholesterol on membrane stability.

Verlet Scheme: Magnetic Fields and Speed Dependent Forces

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

Simulation & Optimization: Poisson Process & Random Numbers

Explores simulation pitfalls, random numbers, discrete & continuous distributions, and Monte-Carlo integration.

Malaria Parasite: Transport Mechanisms in Host Cell

Explores the transport mechanisms of the Malaria Parasite in the Red Blood Cell, focusing on protein export, nutrient import, and lipid transport.

Molecular Dynamics and Monte Carlo: Computational Environment

Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.

Network Simulation and Activity Dynamics

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

Hybrid QM/MM Approaches

Covers Hybrid QM/MM Approaches, explaining system partitioning, MM potential forms, and practical QM/MM implementation.

Modeling Prisoner's Dilemma: Naive vs. Optimal

Explores the modeling of the '100 prisoners' problem and compares naive and optimal approaches.

Molecular dynamics and integrators

Explores molecular dynamics, integrators, trajectory generation, and error monitoring in atomistic modeling.

Computational Cell Biology: Simulations Insights

Explores computer simulations in cell biology, focusing on Molecular Dynamics and Monte Carlo, to gain insights into complex biological systems and their limitations.