Redshift Academy

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Astronomy

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Astronomical Distance Units .

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Celestial Coordinates .

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Celestial Navigation .

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Location of North and South Celestial Poles .

Chemistry

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Avogadro's Number .

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Balancing Chemical Equations

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The Periodic Table .

Classical Mechanics

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Blackbody Radiation .

Classical Physics

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Archimedes Principle

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Bernoulli Principle

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Center of Mass Frame

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Comparison Between Gravitation and Electrostatics

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Compton Effect .

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Coriolis Effect

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Cyclotron Resonance

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Double Slit Experiment

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Elastic and Inelastic Collisions .

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Electric Fields

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Gauss's Law of Universal Gravity .

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Gravity - Force and Acceleration

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Ideal and Non-Ideal Gas Laws (van der Waal)

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Kinetic Theory of Gases .

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Kirchoff's Laws

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Maxwell's Equations .

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Moments and Torque

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One Dimensional Wave Equation .

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Pascal's Principle

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Phase and Group Velocity

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Poiseuille's Law

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Refractive Index

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Rotational Dynamics

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Simple Harmonic Motion

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Specific Heat, Latent Heat and Calorimetry

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The Laws of Thermodynamics

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The Zeeman Effect .

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Young's Modulus

Climate Change

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Keeling Curve .

Cosmology

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Cosmic Background Radiation and Decoupling .

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Friedmann-Robertson-Walker Equations .

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Inflation Theory

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Introduction to Black Holes .

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Olbers' Paradox .

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Stephen Hawking's Last Paper .

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Stephen Hawking's PhD Thesis .

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The Big Bang Model

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Vacuum Energy .

Finance and Accounting

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Brownian Model of Financial Markets .

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Capital Structure

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Lecture Notes on International Financial Management

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Periodically and Continuously Compounded Interest

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Repurchase versus Dividend Analysis

Game Theory

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General Relativity

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Basis One-forms .

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Catalog of Spacetimes .

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Curvature and Parallel Transport

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Einstein's Field Equations

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Gravitational Waves

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Hyperbolic Motion and Rindler Coordinates .

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Quantum Gravity

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Ricci Decomposition .

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Stress-Energy-Momentum Tensor .

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The Area Metric

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The Dirac Equation in Curved Spacetime .

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The Equivalence Principal

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The Essential Mathematics of General Relativity

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The Induced Metric

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The Light Cone .

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The Metric Tensor .

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The Principle of Least Action in Relativity .

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Vierbein (Frame) Fields

Group Theory

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Basic Group Theory .

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Basic Representation Theory .

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Building Groups From Other Groups .

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Sets, Groups, Modules, Rings and Vector Spaces

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Symmetric Groups .

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The Integers Modulo n Under + and x .

Lagrangian and Hamiltonian Mechanics

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Classical Field Theory .

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Euler-Lagrange Equation .

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Ex: Newtonian, Lagrangian and Hamiltonian Mechanics .

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Hamiltonian Formulation .

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Liouville's Theorem

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Symmetry and Conservation Laws - Noether's Theorem .

Macroeconomics

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Lecture Notes on International Economics

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Lecture Notes on Macroeconomics

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Macroeconomic Policy

Mathematics

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Amplitude, Period and Phase

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Arithmetic and Geometric Sequences and Series .

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Augmented Matrices and Cramer's Rule

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Binomial Theorem (Pascal's Triangle)

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Completing the Square

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Complex Numbers

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Composite Functions

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Conformal Transformations .

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Conjugate Pair Theorem

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Contravariant and Covariant Components of a Vector

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Derivatives of Inverse Functions

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Double Angle Formulas

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Eigenvectors and Eigenvalues

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Euler Formula for Polyhedrons

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Factoring of a³ +/- b³

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Fourier Series and Transforms .

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Gauss's Divergence Theorem

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Grassmann and Clifford Algebras .

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Heron's Formula

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Index Notation (Tensors and Matrices) .

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Integration By Parts

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Introduction to Conformal Field Theory .

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Inverse of a Function

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Law of Sines and Cosines

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Line Integrals, ∮

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Logarithms and Logarithmic Equations

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Matrices and Determinants

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Matrix Exponential

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Mean Value and Rolle's Theorem

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Modulus Equations

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Orthogonal Curvilinear Coordinates .

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Parabolas, Ellipses and Hyperbolas

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Piecewise Functions

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Polar Coordinates

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Polynomial Division

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Quaternions 1 .

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Quaternions 2 .

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Regular Polygons

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Similar Matrices and Diagonalization .

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Spherical Trigonometry

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Stirling's Approximation

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Sum and Differences of Squares and Cubes

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Tangent and Normal Line

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Taylor and Maclaurin Series .

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The Essential Mathematics of Lie Groups

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The Limit Definition of the Exponential Function

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Tic-Tac-Toe Factoring

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Trapezoidal Rule

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Volume Integrals

Microeconomics

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Marginal Revenue and Cost

Nuclear Physics

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Radioactive Decay

Particle Physics

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Feynman Diagrams and Loops

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Field Dimensions

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Helicity, Chirality and Weyl Spinors .

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Klein-Gordon and Dirac Equations .

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Regularization and Renormalization

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Scattering - Mandelstam Variables

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Spin 1 Eigenvectors .

Probability and Statistics

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Box and Whisker Plots

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Buffon's Needle .

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Categorical Data - Crosstabs

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Chebyshev's Theorem

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Chi Squared Goodness of Fit

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Conditional Probability

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Confidence Intervals

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Factor Analysis

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Hypothesis Testing

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Linear Regression

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Monte Carlo Methods

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Non Parametric Tests

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Pearson Correlation

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Permutations and Combinations

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Pooled Variance and Standard Error

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Probability Distributions

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Probability Rules

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Sample Size Determination

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Sampling Distributions

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Set Theory - Venn Diagrams

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Stacked and Unstacked Data

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Stem Plots, Histograms and Ogives

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Survey Data - Likert Item and Scale

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Programming and Computer Science

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How this site works ...

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More Programming Topics

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MVC Architecture

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Open Systems Interconnection (OSI) Standard - TCP/IP Protocol

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Public Key Encryption

Quantum Computing

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Density Operators and Mixed States .

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Entangled States .

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Quantum Field Theory

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Creation and Annihilation Operators

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Field Operators for Bosons and Fermions

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Lagrangians in Quantum Field Theory

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Path Integral Formulation

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Relativistic Quantum Field Theory

Quantum Mechanics

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Clebsch-Gordan Coefficients .

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Electron Orbital Angular Momentum and Spin

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Heisenberg Uncertainty Principle

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Ladder Operators .

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Multi Electron Wavefunctions .

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Pauli Spin Matrices

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Photoelectric Effect .

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Position and Momentum States .

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Probability Current

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Schrodinger Equation for Hydrogen Atom .

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Schrodinger Wave Equation

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Spin 1/2 Eigenvectors

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The Differential Operator

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The Essential Mathematics of Quantum Mechanics

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The Quantum Harmonic Oscillator .

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The Schrodinger, Heisenberg and Dirac Pictures

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The WKB Approximation

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Time Dependent Perturbation Theory

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Time Evolution and Symmetry Operations

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Time Independent Perturbation Theory

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Semiconductor Reliability

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The Weibull Distribution

Solid State Electronics

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Band Theory of Solids .

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Fermi-Dirac Statistics .

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Intrinsic and Extrinsic Semiconductors .

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The P-N Junction

Special Relativity

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Electromagnetic (Faraday) Tensor .

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Energy and Momentum in Special Relativity, E = mc² .

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Invariance of the Velocity of Light .

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Lorentz Invariance .

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Lorentz Transform .

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Lorentz Transformation of the EM Field .

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Newton versus Einstein

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Spinors - Part 1 .

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Spinors - Part 2 .

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The Continuity Equation .

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The Lorentz Group .

Statistical Mechanics

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Entropy and the Partition Function

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The Harmonic Oscillator

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String Theory

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Bosonic Strings

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Extra Dimensions

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Introduction to String Theory

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Kaluza-Klein Compactification of Closed Strings

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Strings in Curved Spacetime

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Toroidal Compactification

Superconductivity

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Bardeen–Cooper–Schrieffer Theory

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Introduction to Superconductivity .

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Superconductivity (Lectures 1 - 10)

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Superconductivity (Lectures 11 - 20)

Supersymmetry (SUSY) and Grand Unified Theory (GUT)

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Chiral Superfields

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Generators of a Supergroup

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Grassmann Numbers

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Introduction to Supersymmetry

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The Gauge Hierarchy Problem

The Standard Model

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Electroweak Unification (Glashow-Weinberg-Salam)

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Gauge Theories (Yang-Mills)

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Gravitational Force and the Planck Scale

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Introduction to the Standard Model

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Isospin, Hypercharge, Weak Isospin and Weak Hypercharge

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Quantum Flavordynamics and Quantum Chromodynamics

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Special Unitary Groups and the Standard Model - Part 1 .

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Special Unitary Groups and the Standard Model - Part 2

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Special Unitary Groups and the Standard Model - Part 3 .

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Standard Model Lagrangian

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The Higgs Mechanism

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The Nature of the Weak Interaction

Topology

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Units, Constants and Useful Formulas

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Last modified: January 26, 2018


Sample Size Determination
-------------------------

The error arising due to drawing inferences about the population 
on the basis of sampling is termed as sampling error. The margin 
of error is the maximum error expected in stating, at a level of 
confidence, an interval within which the population parameter is 
supposed to lie. 

Margin of Error, MOE = Z_α/2σ/√n
                      _             _
Confidence interval:  x - MOE < μ < x + MOE
     _             _
Take x - MOE = μ ∴ x - μ = MOE

Or, for a proportion:

MOE = Z_α/2√(pq/n) 

Rearranging,
          _
n = (Z_α/2σ/x - μ)² 

  = (Z_α/2σ/MOE)² 

Or, for a proportion:

n = (Z_α/2/MOE)²pq  using σ = √(pq/n)
                
In the case where p is unknown, a value of 0.5 is used to provide
a conservative estimate of the sample size.  The approximated MOE 
formula is then:

MOE = ±1.96√(0.5(1 - 0.5)/n) 

    = ±1.96√(0.25/n) 

    = ±1.96*0.5√(1/n) 

    ~ ±1/√n

Ex.

In a random survey of 1,000 Floridians, 43% of the respondents liked 
Ford pickups over Chevy pickups and 52% liked Chevy pickups over 
Ford pickups.  5% had no preference. 

First, set n = 1,000 and p = 0.43. Then

±1.96√((0.43*0.52)/1000) = ±0.0293

This means that if you perform the same survey 100 more times, then 
95% of the time the number of people who liked Ford more than Chevy 
should be between 40.1% and 45.9%.