
Explore reinforcement learning in mice using intelligent cages, combining point processes and behavioral analysis to study learning and social aspects in experimental settings.

Learn to create numerical solutions in physics using Python, from basic coding to graphing and modifying code for practical applications.

Explore 2D kinematics: vectors, graphical representations, components, vector operations, and applications to motion, including projectiles and relative velocity.

Model a bowling ball's impact on a spring using Python, exploring energy conservation and force-based approaches to calculate compression.

Enhance problem-solving skills in physics using ChatGPT 4o, focusing on Set 5 exercises from Physics 4A curriculum.

Optimize robotics algorithms using C++ compile-time features. Learn to leverage template metaprogramming, constexpr, and concepts for enhanced performance and safety in real-time robotic applications.

Explore kinematics in special relativity, relativistic velocity addition, Lorentz contraction, and the Doppler effect in this graduate-level physics lecture.

Zgłęb podstawy szczególnej teorii względności, kinematyki i konwencji sumacyjnej Einsteina w ramach kursu dla doktorantów z fizyki teoretycznej.

Изучите кинематическую и динамическую интерпретацию в геологии, углубляя понимание движения и сил, влияющих на геологические структуры и процессы.

Master fundamental concepts of velocity-time graphs, including displacement calculation, acceleration, deceleration, and maximum velocity analysis through clear physics explanations and practical examples.

Explore the intricate engineering of a marble clock's synchronization system, featuring a 4-stage cardan shaft and Geneva drive mechanism for precise timing control.

Explore the dynamics of a mass-wedge system through Lagrangian mechanics, deriving equations of motion and understanding the interplay of forces in this classical physics problem.

Explore Lagrangian mechanics through practical examples, modeling frictionless bead motion along straight, circular, and parabolic paths using Python simulations.