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Related lectures (36)
Advanced Physics I
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Covers advanced topics in physics, focusing on demonstrations and directions related to proportional motion, circular movement, and coordinate systems.
Coordinate Systems: Polar and Spherical
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Covers polar and spherical coordinate systems, position vectors, equations of motion, and Frenet frame concepts.
Kinematics: Position, Velocity, Acceleration
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Covers the fundamental concepts of kinematics, including position, velocity, and acceleration in different coordinate systems.
Physics 1: Harmonic Oscillator and Spherical Coordinates
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Explores harmonic oscillators, pendulum movement, and spherical coordinates in physics.
Motion Analysis: Cartesian and Polar Coordinates
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Covers the analysis of motion using Cartesian and polar coordinates, focusing on kinematics and acceleration components.
Normal Distribution: Properties and Calculations
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Covers the normal distribution, including its properties and calculations.
Integration and Transformations
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Covers the calculation of definite integrals and different coordinate systems.
Shells I: Mechanics of Slender Structures
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Covers linear and membrane theories of pressure vessels, differential geometry of surfaces, and the reduction of dimensionality from 3D to 2D.
Coordinate Systems: Cylindrical and Spherical
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Covers cylindrical and spherical coordinate systems and their applications in 3D space.
Vector Manipulation: Live Written Corrections
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Covers vector manipulation, including Cartesian coordinates, magnitudes, angles, and resultant forces through live written corrections of exercises.
Advanced Physics I
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Explores kinematics, vectors, non-Cartesian coordinates, and the motion of charged particles in electric and magnetic fields.
Confidence Intervals and MLE Limit Theorems
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Explores constructing confidence intervals and MLE limit theorems for large samples.
Review Session: Module 1
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Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
Pizza Making Process
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Covers the process of making pizza, sampling, averages, dispersion, residuals, and normal distribution.
Statistical Inference: Confidence Intervals
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Covers the construction of approximate confidence intervals using the central limit theorem for large sample sizes.
Poisson Process Mapping
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Explains how q = rw defines a Poisson process and its intensity.
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