Learn one topic
Concept pages
About these pages
One page per session of MIT's OCW Scholar courses: MIT's lecture clips, notes, worked examples and practice problems for that topic, in MIT's order, with MIT's solutions where MIT publishes them.
18.01SC Single Variable Calculus
- Introduction to Derivatives MIT solutionsMIT: Session 1: Introduction to Derivatives
- Examples of Derivatives MIT solutionsMIT: Session 2: Examples of Derivatives
- Derivative as Rate of Change MIT solutionsMIT: Session 3: Derivative as Rate of Change
- Limits and Continuity MIT solutionsMIT: Session 4: Limits and Continuity
- Discontinuity MIT solutionsMIT: Session 5: Discontinuity
- Calculating Derivatives MIT solutionsMIT: Session 6: Calculating Derivatives
- Derivatives of Sine and Cosine MIT solutionsMIT: Session 7: Derivatives of Sine and Cosine
- Limits of Sine and Cosine MIT solutionsMIT: Session 8: Limits of Sine and Cosine
- Product Rule MIT solutionsMIT: Session 9: Product Rule
- Quotient Rule MIT solutionsMIT: Session 10: Quotient Rule
- Chain Rule MIT solutionsMIT: Session 11: Chain Rule
- Higher Derivatives MIT solutionsMIT: Session 12: Higher Derivatives
- Implicit Differentiation MIT solutionsMIT: Session 13: Implicit Differentiation
- Examples of Implicit Differentiation MIT solutionsMIT: Session 14: Examples of Implicit Differentiation
- Implicit Differentiation and Inverse Functions MIT solutionsMIT: Session 15: Implicit Differentiation and Inverse Functions
- The Derivative of a^x MIT solutionsMIT: Session 16: The Derivative of aˣ
- The Exponential Function, its Derivative, and its Inverse MIT solutionsMIT: Session 17: The Exponential Function, its Derivative, and its Inverse
- Derivatives of other Exponential Functions MIT solutionsMIT: Session 18: Derivatives of other Exponential Functions
- An Interesting Limit Involving e MIT solutionsMIT: Session 19: An Interesting Limit Involving e
- Hyperbolic Trig Functions MIT solutionsMIT: Session 20: Hyperbolic Trig Functions
- Linear Approximation MIT solutionsMIT: Session 23: Linear Approximation
- Examples of Linear Approximation MIT solutionsMIT: Session 24: Examples of Linear Approximation
- Introduction to Quadratic Approximation MIT solutionsMIT: Session 25: Introduction to Quadratic Approximation
- Using Quadratic Approximations MIT solutionsMIT: Session 26: Using Quadratic Approximations
- Sketching Graphs I - Polynomials and Rational Functions MIT solutionsMIT: Session 27: Sketching Graphs I - Polynomials and Rational Functions
- Sketching Graphs II - General Strategies MIT solutionsMIT: Session 28: Sketching Graphs II - General Strategies
- Optimization Problems MIT solutionsMIT: Session 29: Optimization Problems; Session 30: Optimization Problems II
- Related Rates MIT solutionsMIT: Session 31: Related Rates
- Ring on a String MIT solutionsMIT: Session 32: Ring on a String
- Newton's Method MIT solutionsMIT: Session 33: Newton's Method
- Introduction to the Mean Value Theorem MIT solutionsMIT: Session 34: Introduction to the Mean Value Theorem
- Using the Mean Value Theorem MIT solutionsMIT: Session 35: Using the Mean Value Theorem
- Differentials MIT solutionsMIT: Session 36: Differentials
- Antiderivatives MIT solutionsMIT: Session 37: Antiderivatives
- Integration by Substitution MIT solutionsMIT: Session 38: Integration by Substitution
- Introduction to Differential Equations MIT solutionsMIT: Session 39: Introduction to Differential Equations
- Separation of Variables MIT solutionsMIT: Session 40: Separation of Variables
- Definite Integrals MIT solutionsMIT: Session 43: Definite Integrals
- Adding Areas of Rectangles MIT solutionsMIT: Session 44: Adding Areas of Rectangles
- Some Easy Integrals MIT solutionsMIT: Session 45: Some Easy Integrals
- Riemann Sums MIT solutionsMIT: Session 46: Riemann Sums
- Introduction of the Fundamental Theorem of Calculus MIT solutionsMIT: Session 47: Introduction of the Fundamental Theorem of Calculus
- The Fundamental Theorem of Calculus MIT solutionsMIT: Session 48: The Fundamental Theorem of Calculus
- Applications of the Fundamental Theorem of Calculus MIT solutionsMIT: Session 49: Applications of the Fundamental Theorem of Calculus
- Combining the Fundamental Theorem and the Mean Value Theorem MIT solutionsMIT: Session 50: Combining the Fundamental Theorem and the Mean Value Theorem
- The Second Fundamental Theorem of Calculus MIT solutionsMIT: Session 51: The Second Fundamental Theorem of Calculus
- Proving the Fundamental Theorem of Calculus MIT solutionsMIT: Session 52: Proving the Fundamental Theorem of Calculus
- New Functions From Old MIT solutionsMIT: Session 53: New Functions From Old
- The Second Fundamental Theorem and ln(x) MIT solutionsMIT: Session 54: The Second Fundamental Theorem and ln(x)
- Creating New Functions Using the Second Fundamental Theorem MIT solutionsMIT: Session 55: Creating New Functions Using the Second Fundamental Theorem
- Geometric Interpretation of Definite Integrals MIT solutionsMIT: Session 56: Geometric Interpretation of Definite Integrals
- How to Calculate Volumes MIT solutionsMIT: Session 57: How to Calculate Volumes
- Volume of a Sphere, Revolving About x-axis MIT solutionsMIT: Session 58: Volume of a Sphere, Revolving About x-axis
- Volume of a Parabaloid, Revolving About y-axis MIT solutionsMIT: Session 59: Volume of a Parabaloid, Revolving About y-axis
- Integrals and Averages MIT solutionsMIT: Session 60: Integrals and Averages
- Integrals and Weighted Averages MIT solutionsMIT: Session 61: Integrals and Weighted Averages
- Integrals and Probability MIT solutionsMIT: Session 62: Integrals and Probability
- Numerical Integration MIT solutionsMIT: Session 63: Numerical Integration
- Numerical Integration, Continued MIT solutionsMIT: Session 64: Numerical Integration, Continued
- Bell Curve, Conclusion MIT solutionsMIT: Session 65: Bell Curve, Conclusion
- Integral of sin^n(x) cos^m(x), Odd Exponents MIT solutionsMIT: Session 68: Integral of sinⁿ(x) cos^m(x), Odd Exponents
- Integral of sin^n(x) cos^m(x), Even Exponents MIT solutionsMIT: Session 69: Integral of sinⁿ(x) cos^m(x), Even Exponents
- Preview of Trig Substitution and Polar Coordinates MIT solutionsMIT: Session 70: Preview of Trig Substitution and Polar Coordinates
- Integrals Involving secant, cosecant and cotangent MIT solutionsMIT: Session 71: Integrals Involving secant, cosecant and cotangent
- Trig Substitution MIT solutionsMIT: Session 72: Trig Substitution
- Completing the Square MIT solutionsMIT: Session 73: Completing the Square
- Integration by Partial Fractions MIT solutionsMIT: Session 74: Integration by Partial Fractions
- Advanced Partial Fractions MIT solutionsMIT: Session 75: Advanced Partial Fractions
- Integration by Parts MIT solutionsMIT: Session 76: Integration by Parts
- Volume of a Wine Glass MIT solutionsMIT: Session 77: Volume of a Wine Glass
- Computing the Length of a Curve MIT solutionsMIT: Session 78: Computing the Length of a Curve
- Surface Area MIT solutionsMIT: Session 79: Surface Area
- Parametric Curves MIT solutionsMIT: Session 80: Parametric Curves
- Examples Using Parametrized Curves MIT solutionsMIT: Session 81: Examples Using Parametrized Curves
- Polar Coordinates MIT solutionsMIT: Session 82: Polar Coordinates
- Polar Coordinates, Continued MIT solutionsMIT: Session 83: Polar Coordinates, Continued
- Polar Coordinates and Graphing MIT solutionsMIT: Session 84: Polar Coordinates and Graphing
- L'Hospital's Rule MIT solutionsMIT: Session 87: L'Hospital's Rule
- Examples of L'Hospital's Rule MIT solutionsMIT: Session 88: Examples of L'Hospital's Rule
- L'Hospital's Rule and Rates of Growth MIT: Session 89: L'Hospital's Rule and Rates of Growth
- Advanced Examples of L'Hospital's Rule MIT solutionsMIT: Session 90: Advanced Examples of L'Hospital's Rule
- Improper Integrals MIT solutionsMIT: Session 91: Improper Integrals
- Integral Comparison MIT solutionsMIT: Session 92: Integral Comparison
- Indefinite Integrals and Singularities MIT: Session 93: Indefinite Integrals and Singularities
- Infinite Series MIT solutionsMIT: Session 94: Infinite Series
- Series Comparison MIT solutionsMIT: Session 95: Series Comparison
- Stacking Blocks MIT: Session 96: Stacking Blocks
- Power Series MIT solutionsMIT: Session 97: Power Series
- Taylor's Series MIT solutionsMIT: Session 98: Taylor's Series
- Taylor's Series, Continued MIT: Session 99: Taylor's Series, Continued
- Operations on Power Series MIT solutionsMIT: Session 100: Operations on Power Series
- Single Variable Calculus: Conclusion MIT solutionsMIT: Session 101: Conclusion
18.02SC Multivariable Calculus
- Vectors MIT solutionsMIT: Session 1: Vectors
- Dot Products MIT solutionsMIT: Session 2: Dot Products
- Uses of the Dot Product: Lengths and Angles MIT solutionsMIT: Session 3: Uses of the Dot Product: Lengths and Angles
- Vector Components MIT solutionsMIT: Session 4: Vector Components
- Area and Determinants in 2D MIT solutionsMIT: Session 5: Area and Determinants in 2D
- Volumes and Determinants in Space MIT solutionsMIT: Session 6: Volumes and Determinants in Space
- Cross Products MIT solutionsMIT: Session 7: Cross Products
- Equations of Planes MIT solutionsMIT: Session 8: Equations of Planes
- Matrix Multiplication MIT solutionsMIT: Session 9: Matrix Multiplication
- Meaning of Matrix Multiplication MIT solutionsMIT: Session 10: Meaning of Matrix Multiplication
- Matrix Inverses MIT solutionsMIT: Session 11: Matrix Inverses
- Equations of Planes II MIT solutionsMIT: Session 12: Equations of Planes II
- Linear Systems and Planes MIT solutionsMIT: Session 13: Linear Systems and Planes
- Solutions to Square Systems MIT solutionsMIT: Session 14: Solutions to Square Systems
- Equations of Lines MIT solutionsMIT: Session 15: Equations of Lines
- Intersection of a Line and a Plane MIT solutionsMIT: Session 16: Intersection of a Line and a Plane
- General Parametric Equations; the Cycloid MIT solutionsMIT: Session 17: General Parametric Equations; the Cycloid
- Point (Cusp) on Cycloid MIT solutionsMIT: Session 18: Point (Cusp) on Cycloid
- Velocity and Acceleration MIT solutionsMIT: Session 19: Velocity and Acceleration
- Velocity and Arc Length MIT solutionsMIT: Session 20: Velocity and Arc Length
- Kepler's Second Law MIT solutionsMIT: Session 21: Kepler's Second Law
- Review of Topics MIT: Session 22: Review of Topics
- Review of Problems MIT: Session 23: Review of Problems
- Functions of Two Variables: Graphs MIT solutionsMIT: Session 24: Functions of Two Variables: Graphs
- Level Curves and Contour Plots MIT solutionsMIT: Session 25: Level Curves and Contour Plots
- Partial Derivatives MIT solutionsMIT: Session 26: Partial Derivatives
- Approximation Formula MIT solutionsMIT: Session 27: Approximation Formula
- Optimization Problems MIT solutionsMIT: Session 28: Optimization Problems
- Least Squares MIT solutionsMIT: Session 29: Least Squares
- Second Derivative Test MIT solutionsMIT: Session 30: Second Derivative Test
- Example MIT solutionsMIT: Session 31: Example
- Total Differentials and the Chain Rule MIT solutionsMIT: Session 32: Total Differentials and the Chain Rule
- Examples MIT solutionsMIT: Session 33: Examples
- The Chain Rule with More Variables MIT solutionsMIT: Session 34: The Chain Rule with More Variables
- Gradient: Definition, Perpendicular to Level Curves MIT solutionsMIT: Session 35: Gradient: Definition, Perpendicular to Level Curves
- Proof MIT solutionsMIT: Session 36: Proof
- Example MIT solutionsMIT: Session 37: Example
- Directional Derivatives MIT solutionsMIT: Session 38: Directional Derivatives
- Statement of Lagrange Multipliers and Example MIT solutionsMIT: Session 39: Statement of Lagrange Multipliers and Example
- Proof of Lagrange Multipliers MIT solutionsMIT: Session 40: Proof of Lagrange Multipliers
- Advanced Example MIT solutionsMIT: Session 41: Advanced Example
- Constrained Differentials MIT solutionsMIT: Session 42: Constrained Differentials
- Clearer Notation MIT solutionsMIT: Session 43: Clearer Notation
- Example MIT solutionsMIT: Session 44: Example
- Review of Topics MIT: Session 45: Review of Topics
- Review of Problems MIT: Session 46: Review of Problems
- Definition of Double Integration MIT solutionsMIT: Session 47: Definition of Double Integration
- Examples of Double Integration MIT solutionsMIT: Session 48: Examples of Double Integration
- Exchanging the Order of Integration MIT solutionsMIT: Session 49: Exchanging the Order of Integration
- Double Integrals in Polar Coordinates MIT solutionsMIT: Session 50: Double Integrals in Polar Coordinates
- Applications: Mass and Average Value MIT solutionsMIT: Session 51: Applications: Mass and Average Value
- Applications: Moment of Inertia MIT solutionsMIT: Session 52: Applications: Moment of Inertia
- Change of Variables MIT solutionsMIT: Session 53: Change of Variables
- Example: Polar Coordinates MIT solutionsMIT: Session 54: Example: Polar Coordinates
- Example MIT solutionsMIT: Session 55: Example
- Vector Fields MIT solutionsMIT: Session 56: Vector Fields
- Work and Line Integrals MIT solutionsMIT: Session 57: Work and Line Integrals
- Geometric Approach MIT solutionsMIT: Session 58: Geometric Approach
- Example: Line Integrals for Work MIT solutionsMIT: Session 59: Example: Line Integrals for Work
- Fundamental Theorem for Line Integrals MIT solutionsMIT: Session 60: Fundamental Theorem for Line Integrals
- Conservative Fields, Path Independence, Exact Differentials MIT solutionsMIT: Session 61: Conservative Fields, Path Independence, Exact Differentials
- Gradient Fields MIT solutionsMIT: Session 62: Gradient Fields
- Potential Functions MIT solutionsMIT: Session 63: Potential Functions
- Curl MIT solutionsMIT: Session 64: Curl
- Green's Theorem MIT solutionsMIT: Session 65: Green's Theorem
- Curl(F) = 0 Implies Conservative MIT solutionsMIT: Session 66: Curl(F) = 0 Implies Conservative
- Proof of Green's Theorem MIT solutionsMIT: Session 67: Proof of Green's Theorem
- Planimeter: Green's Theorem and Area MIT solutionsMIT: Session 68: Planimeter: Green's Theorem and Area
- Flux in 2D MIT solutionsMIT: Session 69: Flux in 2D
- Normal Form of Green's Theorem MIT solutionsMIT: Session 70: Normal Form of Green's Theorem
- Extended Green's Theorem: Boundaries with Multiple Pieces MIT solutionsMIT: Session 71: Extended Green's Theorem: Boundaries with Multiple Pieces
- Simply Connected Regions and Conservative Fields MIT solutionsMIT: Session 72: Simply Connected Regions and Conservative Fields
- Triple Integrals: Rectangular and Cylindrical Coordinates MIT solutionsMIT: Session 74: Triple Integrals: Rectangular and Cylindrical Coordinates
- Applications and Examples MIT solutionsMIT: Session 75: Applications and Examples
- Spherical Coordinates MIT solutionsMIT: Session 76: Spherical Coordinates
- Triple Integrals in Spherical Coordinates MIT solutionsMIT: Session 77: Triple Integrals in Spherical Coordinates
- Applications: Gravitational Attraction MIT solutionsMIT: Session 78: Applications: Gravitational Attraction
- Vector Fields in Space MIT solutionsMIT: Session 79: Vector Fields in Space
- Flux Through a Surface MIT solutionsMIT: Session 80: Flux Through a Surface
- Calculating Flux; Finding ndS MIT solutionsMIT: Session 81: Calculating Flux; Finding ndS
- ndS for a Surface z = f(x, y) MIT solutionsMIT: Session 82: ndS for a Surface z = f(x, y)
- Other Ways to Find ndS MIT solutionsMIT: Session 83: Other Ways to Find ndS
- Divergence Theorem MIT solutionsMIT: Session 84: Divergence Theorem
- Physical Meaning of Flux; Del Notation MIT solutionsMIT: Session 85: Physical Meaning of Flux; Del Notation
- Proof of the Divergence Theorem MIT solutionsMIT: Session 86: Proof of the Divergence Theorem
- Diffusion Equation MIT solutionsMIT: Session 87: Diffusion Equation
- Line Integrals in Space MIT solutionsMIT: Session 88: Line Integrals in Space
- Gradient Fields and Potential Functions MIT solutionsMIT: Session 89: Gradient Fields and Potential Functions
- Curl in 3D MIT solutionsMIT: Session 90: Curl in 3D
- Stokes' Theorem MIT solutionsMIT: Session 91: Stokes' Theorem
- Proof of Stokes' Theorem MIT solutionsMIT: Session 92: Proof of Stokes' Theorem
- Example MIT solutionsMIT: Session 93: Example
- Simply Connected Regions; Topology MIT solutionsMIT: Session 94: Simply Connected Regions; Topology
- Stokes' Theorem and Surface Independence MIT solutionsMIT: Session 95: Stokes' Theorem and Surface Independence
- Summary of Multiple Integration MIT solutionsMIT: Session 96: Summary of Multiple Integration
- Curl and Physics MIT: Session 97: Curl and Physics
- Maxwell's Equations MIT: Session 98: Maxwell's Equations
- Unit 1 Review MIT: Session 99: Unit 1 Review
- Unit 2 Review MIT: Session 100: Unit 2 Review
- Unit 3 Review MIT: Session 101: Unit 3 Review
- Unit 4 Review MIT: Session 102: Unit 4 Review
18.03SC Differential Equations
- Basic DE's and Separable Equations MIT solutionsMIT: Basic DE's and Separable Equations
- Geometric Methods MIT solutionsMIT: Geometric Methods
- Numerical Methods MIT solutionsMIT: Numerical Methods
- First Order Linear ODE's MIT solutionsMIT: First Order Linear ODE's
- Solution by Integrating Factors MIT solutionsMIT: Solution by Integrating Factors
- Complex Arithmetic and Exponentials MIT solutionsMIT: Complex Arithmetic and Exponentials
- Sinusoidal Functions MIT solutionsMIT: Sinusoidal Functions
- First Order Constant Coefficient Linear ODE's MIT solutionsMIT: First Order Constant Coefficient Linear ODE's
- Exponential Input; Gain and Phase Lag MIT solutionsMIT: Exponential Input; Gain and Phase Lag
- First Order Autonomous Differential Equations MIT solutionsMIT: First Order Autonomous Differential Equations
- Modes and the Characteristic Equation MIT solutionsMIT: Modes and the Characteristic Equation
- Damped Harmonic Oscillators MIT solutionsMIT: Damped Harmonic Oscillators
- Exponential Response MIT solutionsMIT: Exponential Response
- Gain and Phase Lag MIT solutionsMIT: Gain and Phase Lag
- Undetermined Coefficients MIT solutionsMIT: Undetermined Coefficients
- Linear Operators, Linear Time Invariance MIT solutionsMIT: Linear Operators, Linear Time Invariance
- Pure Resonance MIT solutionsMIT: Pure Resonance
- Frequency Response and Practical Resonance MIT solutionsMIT: Frequency Response and Practical Resonance
- Fourier Series: Basics MIT solutionsMIT: Fourier Series: Basics
- Operations on Fourier Series MIT solutionsMIT: Operations on Fourier Series
- ODE's with Periodic Input, Resonance MIT solutionsMIT: ODE's with Periodic Input, Resonance
- Step and Delta Functions: Integrals and Generalized Derivatives MIT solutionsMIT: Step and Delta Functions: Integrals and Generalized Derivatives
- Unit Step and Unit Impulse Response MIT solutionsMIT: Unit Step and Unit Impulse Response
- Convolution MIT solutionsMIT: Convolution
- Laplace Transform: Basics MIT solutionsMIT: Laplace Transform: Basics
- Partial Fractions and Inverse Laplace Transform MIT solutionsMIT: Partial Fractions and Inverse Laplace Transform
- Laplace Transform: Solving Initial Value Problems MIT solutionsMIT: Laplace Transform: Solving Initial Value Problems
- Transfer (System) and Weight Functions, Green's Formula MIT solutionsMIT: Transfer (System) and Weight Functions, Green's Formula
- Poles, Amplitude Response, Connection to ERF MIT solutionsMIT: Poles, Amplitude Response, Connection to ERF
- Linear Systems MIT solutionsMIT: Linear Systems
- Matrix Methods: Eigenvalues and Normal Modes MIT solutionsMIT: Matrix Methods: Eigenvalues and Normal Modes
- Qualitative Behavior: Phase Portraits MIT solutionsMIT: Qualitative Behavior: Phase Portraits
- Matrix Exponentials MIT solutionsMIT: Matrix Exponentials
- Nonlinear Systems MIT solutionsMIT: Nonlinear Systems
- Linearization Near Critical Points MIT solutionsMIT: Linearization Near Critical Points
- Limitations of the Linear: Limit Cycles and Chaos MIT: Limitations of the Linear: Limit Cycles and Chaos
18.06SC Linear Algebra
- The Geometry of Linear Equations MIT solutionsMIT: The Geometry of Linear Equations
- An Overview of Key Ideas MIT: An Overview of Key Ideas
- Elimination with Matrices MIT solutionsMIT: Elimination with Matrices
- Multiplication and Inverse Matrices MIT solutionsMIT: Multiplication and Inverse Matrices
- Factorization into A = LU MIT solutionsMIT: Factorization into A = LU
- Transposes, Permutations, Vector Spaces MIT solutionsMIT: Transposes, Permutations, Vector Spaces
- Column Space and Nullspace MIT solutionsMIT: Column Space and Nullspace
- Solving Ax = 0: Pivot Variables, Special Solutions MIT solutionsMIT: Solving Ax = 0: Pivot Variables, Special Solutions
- Solving Ax = b: Row Reduced Form R MIT solutionsMIT: Solving Ax = b: Row Reduced Form R
- Independence, Basis and Dimension MIT solutionsMIT: Independence, Basis and Dimension
- The Four Fundamental Subspaces MIT solutionsMIT: The Four Fundamental Subspaces
- Matrix Spaces; Rank 1; Small World Graphs MIT solutionsMIT: Matrix Spaces; Rank 1; Small World Graphs
- Graphs, Networks, Incidence Matrices MIT solutionsMIT: Graphs, Networks, Incidence Matrices
- Orthogonal Vectors and Subspaces MIT solutionsMIT: Orthogonal Vectors and Subspaces
- Projections onto Subspaces MIT solutionsMIT: Projections onto Subspaces
- Projection Matrices and Least Squares MIT solutionsMIT: Projection Matrices and Least Squares
- Orthogonal Matrices and Gram-Schmidt MIT solutionsMIT: Orthogonal Matrices and Gram-Schmidt
- Properties of Determinants MIT solutionsMIT: Properties of Determinants
- Determinant Formulas and Cofactors MIT solutionsMIT: Determinant Formulas and Cofactors
- Cramer's Rule, Inverse Matrix and Volume MIT solutionsMIT: Cramer's Rule, Inverse Matrix and Volume
- Eigenvalues and Eigenvectors MIT solutionsMIT: Eigenvalues and Eigenvectors
- Diagonalization and Powers of A MIT solutionsMIT: Diagonalization and Powers of A
- Differential Equations and exp(At) MIT solutionsMIT: Differential Equations and exp(At)
- Markov Matrices; Fourier Series MIT solutionsMIT: Markov Matrices; Fourier Series
- Symmetric Matrices and Positive Definiteness MIT solutionsMIT: Symmetric Matrices and Positive Definiteness
- Complex Matrices; Fast Fourier Transform (FFT) MIT solutionsMIT: Complex Matrices; Fast Fourier Transform (FFT)
- Positive Definite Matrices and Minima MIT solutionsMIT: Positive Definite Matrices and Minima
- Similar Matrices and Jordan Form MIT solutionsMIT: Similar Matrices and Jordan Form
- Singular Value Decomposition MIT solutionsMIT: Singular Value Decomposition
- Linear Transformations and their Matrices MIT solutionsMIT: Linear Transformations and their Matrices
- Change of Basis; Image Compression MIT solutionsMIT: Change of Basis; Image Compression
- Left and Right Inverses; Pseudoinverse MIT solutionsMIT: Left and Right Inverses; Pseudoinverse
8.01SC Classical Mechanics
- Vectors MIT: Lesson 0: Vectors [0.1 - 0.6]
- 1D Kinematics - Position and Velocity MIT: Lesson 1: 1D Kinematics - Position and Velocity [1.1-1.7]
- 1D Kinematics - Acceleration MIT: Lesson 2: 1D Kinematics - Acceleration [2.1-2.5]
- 2D Kinematics MIT: Lesson 3: 2D Kinematics [3.1-3.5]
- Week 1 Worked Examples MIT: Week 1 Worked Examples [PS.1.1-PS.1.5]
- Newton's Laws of Motion MIT: Lesson 4: Newton's Laws of Motion [4.1-4.4]
- Gravity MIT: Lesson 5: Gravity [5.1-5.3]
- Contact Forces MIT: Lesson 6: Contact Forces [6.1-6.2]
- Tension and Springs MIT: Lesson 7: Tension and Springs [7.1-7.4]
- Deep Dive: Friction MIT: Deep Dive: Friction [DD 1.1]
- Week 2 Worked Examples MIT: Week 2 Worked Examples [PS.2.1-PS.2.3]
- Circular Motion - Position and Velocity MIT: Lesson 8: Circular Motion - Position and Velocity [8.1-8.3]
- Uniform Circular Motion MIT: Lesson 9: Uniform Circular Motion [9.1-9.3]
- Circular Motion – Acceleration MIT: Lesson 10: Circular Motion – Acceleration [10.1-10.4]
- Newton's 2nd Law and Circular Motion MIT: Lesson 11: Newton's 2nd Law and Circular Motion [11.1-11.3]
- Worked Example - Orbital Circular Motion MIT: PS.3.1 Worked Example - Orbital Circular Motion
- Pulleys and Constraints MIT: Lesson 12: Pulleys and Constraints [12.1-12.5]
- Massive Rope MIT: Lesson 13: Massive Rope [13.1-13.6]
- Resistive Forces MIT: Lesson 14: Resistive Forces [14.1-14.3]
- Momentum and Impulse MIT: Lesson 15: Momentum and Impulse [15.1-15.5]
- Conservation of Momentum MIT: Lesson 16: Conservation of Momentum [16.1-16.2]
- Center of Mass and Motion MIT: Lesson 17: Center of Mass and Motion [17.1-17.7]
- Relative Velocity and Recoil MIT: Lesson 18: Relative Velocity and Recoil [18.1-18.4]
- Continuous Mass Transfer MIT: Lesson 19: Continuous Mass Transfer [19.1-19.7]
- Week 6 Worked Examples MIT: Week 6 Worked Examples [PS.6.1-PS.6.2]
- Kinetic Energy and Work in 1D MIT: Lesson 20: Kinetic Energy and Work in 1D [20.1-20.6]
- Kinetic Energy and Work in 2D and 3D MIT: Lesson 21: Kinetic Energy and Work in 2D and 3D [21.1-21.6]
- Conservative and Non-Conservative Forces MIT: Lesson 22: Conservative and Non-Conservative Forces [22.1-22.5]
- Worked Example - Collision and Sliding on a Rough Surface MIT: PS.7.1 Worked Example - Collision and Sliding on a Rough Surface
- Potential Energy MIT: Lesson 23: Potential Energy [23.1-23.5]
- Conservation of Energy MIT: Lesson 24: Conservation of Energy [24.1-24.4]
- Potential Energy Diagrams MIT: Lesson 25: Potential Energy Diagrams [25.1-25.3]
- Types of Collision MIT: Lesson 26: Types of Collision [26.1-26.3]
- Elastic Collisions MIT: Lesson 27: Elastic Collisions [27.1-27.6]
- Deep Dive: Center of Mass Reference Frame MIT: Deep Dive: Center of Mass Reference Frame [DD.2.1-DD.2.7]
- Introduction to Translation and Rotation MIT: 28.2 Introduction to Translation and Rotation
- Review of Angular Velocity and Acceleration MIT: 28.3 Review of Angular Velocity and Acceleration
- Moment of Inertia MIT: Lesson 29: Moment of Inertia [29.1-29.6]
- Torque MIT: Lesson 30: Torque [30.1-30.5]
- Rotational Dynamics MIT: Lesson 31: Rotational Dynamics [31.1-31.7]
- Blocks and Massive Pulley MIT: PS.10.1 Blocks and Massive Pulley
- Angular Momentum of a Point Particle MIT: Lesson 32: Angular Momentum of a Point Particle [32.1-32.4]
- Angular Momentum of a Rigid Body MIT: Lesson 33: Angular Momentum of a Rigid Body [33.1-33.5]
- Torque and Angular Impulse MIT: Lesson 34: Torque and Angular Impulse [34.1-34.5]
- Rolling Kinematics MIT: Lesson 35: Rolling Kinematics [35.1-35.5]
- Rolling Dynamics MIT: Lesson 36: Rolling Dynamics [36.1-36.5]
- Rolling Kinetic Energy & Angular Momentum MIT: Lesson 37: Rolling Kinetic Energy & Angular Momentum [37.1-37.4]
- Deep Dive: Gyroscopes MIT: Deep Dive: Gyroscopes [DD.3.1-DD.3.3]
6.041SC Probabilistic Systems Analysis and Applied Probability
- Probability Models and Axioms MIT solutionsMIT: Lecture 1: Probability Models and Axioms
- Conditioning and Bayes' Rule MIT solutionsMIT: Lecture 2: Conditioning and Bayes' Rule
- Independence MIT solutionsMIT: Lecture 3: Independence
- Counting MIT solutionsMIT: Lecture 4: Counting
- Discrete Random Variables; Probability Mass Functions; Expectations MIT solutionsMIT: Lecture 5: Discrete Random Variables; Probability Mass Functions; Expectations
- Discrete Random Variable Examples; Joint PMFs MIT solutionsMIT: Lecture 6: Discrete Random Variable Examples; Joint PMFs
- Multiple Discrete Random Variables MIT solutionsMIT: Lecture 7: Multiple Discrete Random Variables
- Continuous Random Variables MIT solutionsMIT: Lecture 8: Continuous Random Variables
- Multiple Continuous Random Variables MIT solutionsMIT: Lecture 9: Multiple Continuous Random Variables
- Continuous Bayes' Rule; Derived Distributions MIT solutionsMIT: Lecture 10: Continuous Bayes' Rule; Derived Distributions
- Derived Distributions; Convolution; Covariance and Correlation MIT solutionsMIT: Lecture 11: Derived Distributions; Convolution; Covariance and Correlation
- Iterated Expectations; Sum of a Random Number of Random Variables MIT solutionsMIT: Lecture 12: Iterated Expectations; Sum of a Random Number of Random Variables
- Bernoulli Process MIT solutionsMIT: Lecture 13: Bernoulli Process
- Poisson Process MIT solutionsMIT: Lecture 14: Poisson Process - I; Lecture 15: Poisson Process - II
- Markov Chains MIT solutionsMIT: Lecture 16: Markov Chains - I; Lecture 17: Markov Chains - II; Lecture 18: Markov Chains - III
- Weak Law of Large Numbers MIT solutionsMIT: Lecture 19: Weak Law of Large Numbers
- Central Limit Theorem MIT solutionsMIT: Lecture 20: Central Limit Theorem
- Bayesian Statistical Inference MIT solutionsMIT: Lecture 21: Bayesian Statistical Inference - I; Lecture 22: Bayesian Statistical Inference - II
- Classical Statistical Inference - I MIT solutionsMIT: Lecture 23 Classical Statistical Inference - I
- Classical Inference MIT solutionsMIT: Lecture 24: Classical Inference - II; Lecture 25: Classical Inference - III
7.01SC Fundamentals of Biology
- Types of Organisms, Cell Composition MIT solutionsMIT: Types of Organisms, Cell Composition
- Covalent Bonds, Hydrogen Bonds MIT solutionsMIT: Covalent Bonds, Hydrogen Bonds
- Macromolecules: Lipids, Carbohydrates, Nucleic Acid MIT solutionsMIT: Macromolecules: Lipids, Carbohydrates, Nucleic Acid
- Proteins, Levels of Structure, Non-Covalent Forces MIT solutionsMIT: Proteins, Levels of Structure, Non-Covalent Forces
- Biochemical Reactions, Enzymes, and ATP MIT solutionsMIT: Biochemical Reactions, Enzymes, and ATP
- Glycolysis, Respiration, and Fermentation MIT solutionsMIT: Glycolysis, Respiration, and Fermentation
- Photosynthesis MIT solutionsMIT: Photosynthesis
- DNA Structure, Classic Experiments MIT solutionsMIT: DNA Structure, Classic Experiments
- DNA Replication MIT solutionsMIT: DNA Replication
- Transcription, Translation MIT solutionsMIT: Transcription, Translation
- Alternative Approaches to Molecular Biology MIT solutionsMIT: Alternative Approaches to Molecular Biology
- Gene Regulation and the Lac Operon MIT solutionsMIT: Gene Regulation and the Lac Operon
- Mendel's Laws MIT solutionsMIT: Mendel's Laws
- Linkage and Recombination, Genetic Maps MIT solutionsMIT: Linkage and Recombination, Genetic Maps
- Pedigrees MIT solutionsMIT: Pedigrees
- Biochemical Genetics MIT solutionsMIT: Biochemical Genetics
- Development of Recombinant DNA MIT: Development of Recombinant DNA
- Basic Mechanics of Cloning: Restriction Enzymes & Cloning Vectors MIT solutionsMIT: Basic Mechanics of Cloning: Restriction Enzymes & Cloning Vectors
- Constructing and Screening a Recombinant DNA Library MIT solutionsMIT: Constructing and Screening a Recombinant DNA Library
- cDNA Libraries and Expression Libraries MIT solutionsMIT: cDNA Libraries and Expression Libraries
- Agarose Gel Electrophoresis, DNA Sequencing, PCR MIT solutionsMIT: Agarose Gel Electrophoresis, DNA Sequencing, PCR
3.091SC Introduction to Solid State Chemistry
- Introduction to Solid State Chemistry MIT solutionsMIT: 1. Introduction to Solid State Chemistry
- The Periodic Table MIT solutionsMIT: 2. The Periodic Table
- Atomic Models: Rutherford & Bohr MIT solutionsMIT: 3. Atomic Models: Rutherford & Bohr
- Matter/Energy Interactions: Atomic Spectra MIT solutionsMIT: 4. Matter/Energy Interactions: Atomic Spectra
- Electron Shell Model & Quantum Numbers MIT solutionsMIT: 5. Electron Shell Model & Quantum Numbers
- Particle-Wave Duality MIT solutionsMIT: 6. Particle-Wave Duality
- The Aufbau Principle; Photoelectron Spectroscopy MIT: 7. The Aufbau Principle; Photoelectron Spectroscopy
- Ionic Crystals; Born-Haber Cycle MIT solutionsMIT: 8. Ionic Crystals; Born-Haber Cycle
- Drawing Lewis Structures MIT solutionsMIT: 9. Drawing Lewis Structures
- Hybridized & Molecular Orbitals; Paramagnetism MIT solutionsMIT: 10. Hybridized & Molecular Orbitals; Paramagnetism
- The Shapes of Molecules MIT solutionsMIT: 11. The Shapes of Molecules
- Intermolecular Forces MIT solutionsMIT: 12. Intermolecular Forces
- Band Theory of Solids MIT solutionsMIT: 13. Band Theory of Solids
- Semiconductors MIT solutionsMIT: 14. Semiconductors
- Introduction to Crystallography MIT solutionsMIT: 15. Introduction to Crystallography
- Crystallographic Notation & X-Rays MIT solutionsMIT: 16. Crystallographic Notation & X-Rays
- X-Ray Emission & Absorption MIT solutionsMIT: 17. X-Ray Emission & Absorption
- X-Ray Diffraction Techniques MIT solutionsMIT: 18. X-Ray Diffraction Techniques
- Point & Line Defects MIT solutionsMIT: 19. Point & Line Defects
- Line, Interface & Bulk Defects MIT solutionsMIT: 20. Line, Interface & Bulk Defects
- Introduction to Glasses MIT solutionsMIT: 21. Introduction to Glasses
- Engineering Glass Properties; Introduction to Kinetics MIT solutionsMIT: 22. Engineering Glass Properties; Introduction to Kinetics
- Reaction Rates MIT solutionsMIT: 23. Reaction Rates
- Diffusion MIT solutionsMIT: 24. Diffusion
- Introduction to Aqueous Solutions MIT solutionsMIT: 25. Introduction to Aqueous Solutions
- Acids & Bases MIT solutionsMIT: 26. Acids & Bases
- Introduction to Organic Chemistry MIT: 27. Introduction to Organic Chemistry
- Polymers: Structure & Composition MIT solutionsMIT: 28. Polymers: Structure & Composition
- Polymers: Synthesis, Properties & Applications MIT solutionsMIT: 29. Polymers: Synthesis, Properties & Applications
- Biochemistry: Amino Acids MIT solutionsMIT: 30. Biochemistry: Amino Acids
- Biochemistry: Protein Structure MIT solutionsMIT: 31. Biochemistry: Protein Structure
- Biochemistry: Lipids, Nucleic Acids & DNA MIT solutionsMIT: 32. Biochemistry: Lipids, Nucleic Acids & DNA
- Unary Phase Diagrams MIT solutionsMIT: 33. Unary Phase Diagrams
- Binary Phase Diagrams: Complete Solubility MIT solutionsMIT: 34. Binary Phase Diagrams: Complete Solubility
- Binary Phase Diagrams: Limited Solubility MIT solutionsMIT: 35. Binary Phase Diagrams: Limited Solubility
9.00SC Introduction to Psychology
- Introduction to Psychology: Introduction MIT: Introduction
- Science & Research MIT: Science & Research
- Brain MIT: Brain I: Structure and Functions; Brain II: Methods of Research
- Vision MIT: Vision I; Vision II
- Consciousness MIT: Consciousness
- Attention MIT: Attention
- Memory I MIT: Memory I
- Learning MIT: Learning
- Memory II: Amnesia and Memory Systems MIT: Memory II: Amnesia and Memory Systems
- Language MIT: Language
- Thinking MIT: Thinking
- Intelligence MIT: Intelligence
- Emotion & Motivation MIT: Emotion & Motivation
- Personality MIT: Personality
- Child Development MIT: Child Development
- Adult Development MIT: Adult Development
- Stress MIT: Stress
- Psychopathology MIT: Psychopathology I; Psychopathology II
- Social Psychology I MIT: Social Psychology I
- Social Psychology II MIT: Social Psychology II
- Conclusions: Evolutionary Psychology, Happiness MIT: Conclusions: Evolutionary Psychology, Happiness
14.01SC Principles of Microeconomics
- Introduction to Microeconomics MIT solutionsMIT: Introduction to Microeconomics
- Applying Supply and Demand MIT solutionsMIT: Applying Supply and Demand
- Elasticity MIT solutionsMIT: Elasticity
- Preferences and Utility MIT solutionsMIT: Preferences and Utility
- Budget Constraints MIT solutionsMIT: Budget Constraints
- Deriving Demand Curves MIT solutionsMIT: Deriving Demand Curves
- Introduction to Producer Theory MIT solutionsMIT: Introduction to Producer Theory
- Productivity and Costs MIT solutionsMIT: Productivity and Costs
- Competition MIT solutionsMIT: Competition I; Competition II; Competition III
- Principles of Welfare Economics MIT solutionsMIT: Principles of Welfare Economics
- Monopoly MIT solutionsMIT: Monopoly I; Monopoly II
- Oligopoly MIT solutionsMIT: Oligopoly I; Oligopoly II
- Factor Markets MIT solutionsMIT: Factor Markets
- International Trade MIT solutionsMIT: International Trade
- Uncertainty MIT solutionsMIT: Uncertainty
- Capital Supply and Markets MIT solutionsMIT: Capital Supply and Markets I; Capital Supply and Markets II
- Equity and Efficiency MIT solutionsMIT: Equity and Efficiency
- Government Redistribution Policy MIT solutionsMIT: Government Redistribution Policy
- U.S. Social Insurance Programs MIT: U.S. Social Insurance Programs
- Healthcare Economics MIT: Healthcare Economics
2.003SC Engineering Dynamics
- Newton's Laws, Vectors, and Reference Frames MIT solutionsMIT: Newton's Laws, Vectors, and Reference Frames
- Velocity, Acceleration, and Rotational Motion MIT solutionsMIT: Velocity, Acceleration, and Rotational Motion
- Angular Momentum and Torque MIT solutionsMIT: Angular Momentum and Torque
- Free Body Diagrams and Fictitious Forces MIT solutionsMIT: Free Body Diagrams and Fictitious Forces
- Angular Momentum and Rotating Masses MIT: Angular Momentum and Rotating Masses
- Angular Momentum and Motion of Rotating Rigid Bodies MIT solutionsMIT: Angular Momentum and Motion of Rotating Rigid Bodies
- Finding Equations of Motion for Rigid Body Rotation MIT solutionsMIT: Finding Equations of Motion for Rigid Body Rotation
- Lagrange Equations MIT solutionsMIT: Lagrange Equations; Lagrange Equations Continued
- Mechanical Vibration MIT solutionsMIT: Mechanical Vibration
- Reducing Problem Vibration and Intro to Multi-DOF Vibration MIT: Reducing Problem Vibration and Intro to Multi-DOF Vibration
- Vibration of Multi-Degree-of-Freedom Systems MIT solutionsMIT: Vibration of Multi-Degree-of-Freedom Systems
- Vibration Analysis by Mode Superposition MIT solutionsMIT: Vibration Analysis by Mode Superposition
5.07SC Biological Chemistry I
- What is Biochemistry? MIT solutionsMIT: Session 1: What is Biochemistry?
- Enzyme Kinetics and Enzyme Inhibition MIT solutionsMIT: Session 4: Enzyme Kinetics and Enzyme Inhibition
- Biochemical Transformations III MIT solutionsMIT: Session 7: Biochemical Transformations III
- Glycolysis and Early Stages of Respiration MIT: Session 9: Glycolysis and Early Stages of Respiration
- Maintenance of Redox Neutrality MIT: Session 11: Maintenance of Redox Neutrality
- Respiration: Proton Pumps and ATP Synthesis MIT: Session 13: Respiration: Proton Pumps and ATP Synthesis
- Lipid Catabolism: Fatty Acid Beta-Oxidation MIT: Session 14: Lipid Catabolism: Fatty Acid Beta-Oxidation
- Fatty Acid and Lipid Biosynthesis MIT: Session 17: Fatty Acid and Lipid Biosynthesis
- Carbohydrate Biosynthesis I: Glycogen Synthesis MIT: Session 18: Carbohydrate Biosynthesis I: Glycogen Synthesis
- Carbohydrate Biosynthesis III: Pentose Phosphate Pathway MIT: Session 20: Carbohydrate Biosynthesis III: Pentose Phosphate Pathway
- Regulation of Metabolism MIT: Session 21: Regulation of Metabolism