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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
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Explore rigid body rotations in Python using rotation matrices and inverse inertia tensors, with practical VPython implementation techniques.
Explore the relationship between normal force and frictional force on an incline through a quick experiment using the Vernier force plate with lateral force sensor.
Explore three approaches to derive pendulum equations of motion: Newtonian, Lagrangian, and Hamiltonian mechanics, with detailed mathematical derivations including polar coordinate acceleration.
Explore the Hamiltonian mechanics approach to modeling a mass on a spring, including phase space analysis and Python implementation.
Explore the eigenvalue problem with 2x2 matrices, learn to find vectors that maintain direction, and solve eigenvalue problems both algebraically and using Python.
Explore the discrepancy between theoretical and observed galaxy rotation curves, and how dark matter may explain this phenomenon in astrophysics.
Explore the physics of projectile motion in space through Python modeling, comparing trajectories and escape velocities of balls launched at different angles from Earth.
Explore Kepler's three laws of planetary motion through interactive Python demonstrations, visualizing elliptical orbits, equal areas, and the relationship between orbital period and distance.
Explore the mathematical approach to finding normal modes of oscillation for the double pendulum through energy methods and eigenvalue problems.
Explore the concept of angular momentum for a ball moving in a circular path, examining whether it remains constant when calculated from different reference points.
Learn to create custom histograms and implement Box-Muller transformations in Web VPython through hands-on coding examples and data visualization techniques.
Explore how to model Earth-Sun interactions by adjusting light settings in Web VPython, with hands-on coding examples and practical documentation guidance.
Dive into essential vector mathematics through practical problem-solving, including cube diagonals, square properties, and vector operations with Python implementation.
Explore 2D random walk simulations in Python, from basic implementations to advanced self-avoiding patterns using VPython - includes practical coding examples and troubleshooting.
Explore 1D random walk simulations using VPython, creating animated histograms to visualize final positions after multiple iterations and steps.
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