Lectures related to Running models on your local compute

Explores turbulence characteristics, simulation methods, and modeling challenges, providing guidelines for choosing and validating turbulence models.

Explores the theory of quantum jumps in open quantum systems and their simulation.

Discusses implementing keyboard events, timers, and file management in GTKmm4 applications.

Focuses on file management and exception handling in Python programming.

Explores the modeling of synaptic potentials and the factors influencing their amplitude.

Explores the physics of snowpack modeling and its practical applications in vapor transport and hydrology simulations.

Explores synaptic transmission, neurotransmitters, and neural plasticity principles.

Delves into chaos and sensitivity in the double pendulum system, exploring unpredictability and exponential divergence of trajectories.

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

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Compares electrical and chemical synapses, emphasizing their properties and behavior, including the neuromuscular junction and synapses in the CNS.

Explains the file system abstraction, focusing on files, directories, and their management within a computer system.

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

Covers the basics of image processing using Fiji software, focusing on managing files and applying filters.

Covers reading and writing CSV files, saving data, using dataclasses, and introduces the Advent of Code platform for daily programming challenges.

Covers quantum wire analysis, transmission function, and tunneling in dots.

Discusses the reactive hard spheres model, collision cross sections, reaction cross sections, and two-body classical scattering.

Explores the historical perspective and postulates of quantum mechanics, focusing on the harmonic oscillator and approximation methods.

Explains the Lindemann-Hinshelwood mechanism in chemical kinetics and the concept of a transition state on a potential energy surface.

Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.