Канал: MIT OpenCourseWare

Robust Science with Prof. Rebecca Saxe

Robust Science with Prof. Rebecca Saxe

Lecture 2: Strings, Input/Output, and Branching

Lecture 2: Strings, Input/Output, and Branching

Innovation, Past and Future with Prof Christopher Capozzola

Innovation, Past and Future with Prof Christopher Capozzola

What's Worth Making? with Prof. Hal Abelson

What's Worth Making? with Prof. Hal Abelson

Everything Here is Sacred (Terrascope Radio Replay)

Everything Here is Sacred (Terrascope Radio Replay)

The Power of Experience with Dr. Ari Epstein

The Power of Experience with Dr. Ari Epstein

OCW Learning Journeys: Michael's Story

OCW Learning Journeys: Michael's Story

Economics and Real World Impact with Dr. Sara Ellison & Prof. Esther Duflo

Economics and Real World Impact with Dr. Sara Ellison & Prof. Esther Duflo

Lecture 1: Introduction to Thermodynamics

Lecture 1: Introduction to Thermodynamics

Lecture 4: Heat Engines and Energy Conversion Efficiency

Lecture 4: Heat Engines and Energy Conversion Efficiency

Lecture 9: Case Studies - Specific Heats and Phase Transformations

Lecture 9: Case Studies - Specific Heats and Phase Transformations

Lecture 12: Case Studies - Saturation Vapor Pressure

Lecture 12: Case Studies - Saturation Vapor Pressure

Lecture 20: Introduction to Binary Phase Diagrams

Lecture 20: Introduction to Binary Phase Diagrams

Lecture 23: Building Binary Phase Diagrams, Part I

Lecture 23: Building Binary Phase Diagrams, Part I

Lecture 24: Building Binary Phase Diagrams, Part II

Lecture 24: Building Binary Phase Diagrams, Part II

Lecture 25: Building Binary Phase Diagrams, Part III

Lecture 25: Building Binary Phase Diagrams, Part III

Lecture 26: CALPHAD - Case Studies and Guest Lecture

Lecture 26: CALPHAD - Case Studies and Guest Lecture

Lecture 31: Reacting Multi-phase Systems

Lecture 31: Reacting Multi-phase Systems

OCW Learning Journeys: Jae-Min's Story #Chemistry #Thermodynamics #Physics #Science #MIT

OCW Learning Journeys: Jae-Min's Story #Chemistry #Thermodynamics #Physics #Science #MIT

The Lumpy Universe with Prof. David Kaiser

The Lumpy Universe with Prof. David Kaiser

Reimagining Cities with Prof. David Hsu

Reimagining Cities with Prof. David Hsu

OCW Learning Journeys: Emmanuel's Story #ArtificialIIntelligence #AI #Psychology #AnimalBehavior

OCW Learning Journeys: Emmanuel's Story #ArtificialIIntelligence #AI #Psychology #AnimalBehavior

Introduction to GIS, Part I: Key Concepts

Introduction to GIS, Part I: Key Concepts

Introduction to R, Part III: Linear and Mixed Models in R

Introduction to R, Part III: Linear and Mixed Models in R

Introduction to R, Part I: Interface and Data Structures

Introduction to R, Part I: Interface and Data Structures

Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points

Introduction to GIS, Part V: Extract Information from Maps using Spatial Data Points

Introduction to R, Part IV: Loops and Functions

Introduction to R, Part IV: Loops and Functions

Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series

Introduction to GIS, Part II: Vectorial Maps, Raster Maps, and Time Series

Introduction to GIS, Part III: Projection

Introduction to GIS, Part III: Projection

Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask

Introduction to GIS, Part IV: Stack, Brick, Crop, and Mask

Introduction to GIS, Part VI: Plotting Maps with ggplot2

Introduction to GIS, Part VI: Plotting Maps with ggplot2

Introduction to R, Part II: Playing with the Data

Introduction to R, Part II: Playing with the Data

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (FIXED)

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (FIXED)

The Kitchen Cloud Chamber with Prof. Anne White

The Kitchen Cloud Chamber with Prof. Anne White

Lecture 6: Bisection Search (FIXED)

Lecture 6: Bisection Search (FIXED)

Lecture 10: Lists and Mutability (FIXED)

Lecture 10: Lists and Mutability (FIXED)

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (ALSO BROKEN)

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (ALSO BROKEN)

OCW Learning Journeys: Maria's Story #MIT #Calculus #STEM #Brazil #OpenEducation #MedicalSchool

OCW Learning Journeys: Maria's Story #MIT #Calculus #STEM #Brazil #OpenEducation #MedicalSchool

Lecture 14: Dictionaries

Lecture 14: Dictionaries

Lecture 3: Iteration

Lecture 3: Iteration

Lecture 16: Recursion on Non-numerics

Lecture 16: Recursion on Non-numerics

Lecture 21: Timing Programs and Counting Operations

Lecture 21: Timing Programs and Counting Operations

Lecture 25: Plotting

Lecture 25: Plotting

Lecture 23: Complexity Classes Examples

Lecture 23: Complexity Classes Examples

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (BROKEN)

Lecture 12: List Comprehension, Functions as Objects, Testing, and Debugging (BROKEN)

Lecture 1: Introduction to CS and Programming Using Python

Lecture 1: Introduction to CS and Programming Using Python

Lecture 4: Loops over Strings, Guess-and-Check, and Binary

Lecture 4: Loops over Strings, Guess-and-Check, and Binary

Lecture 22: Big Oh and Theta

Lecture 22: Big Oh and Theta

Lecture 19: Inheritance

Lecture 19: Inheritance

Lecture 11: Aliasing and Cloning

Lecture 11: Aliasing and Cloning

Lecture 17: Python Classes

Lecture 17: Python Classes

Lecture 9: Lambda Functions, Tuples, and Lists

Lecture 9: Lambda Functions, Tuples, and Lists

Lecture 5: Floats and Approximation Methods

Lecture 5: Floats and Approximation Methods

Lecture 15: Recursion

Lecture 15: Recursion

Lecture 24: Sorting Algorithms

Lecture 24: Sorting Algorithms

Lecture 26: List Access, Hashing, Simulations, and Wrap-Up

Lecture 26: List Access, Hashing, Simulations, and Wrap-Up

Lecture 18: More Python Class Methods

Lecture 18: More Python Class Methods

Lecture 6: Bisection Search (BROKEN)

Lecture 6: Bisection Search (BROKEN)

Lecture 8: Functions as Objects

Lecture 8: Functions as Objects

Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 10: Lists and Mutability (BROKEN)

Lecture 10: Lists and Mutability (BROKEN)

Lecture 7: Decomposition, Abstraction, and Functions

Lecture 7: Decomposition, Abstraction, and Functions

Lecture 13: Exceptions and Assertions

Lecture 13: Exceptions and Assertions

Lecture 2: Strings, Input/Output, and Branching (old)

Lecture 2: Strings, Input/Output, and Branching (old)

5 Million Subscribers – An OCW Odyssey

5 Million Subscribers – An OCW Odyssey

Navigating Open Licensing: Strategies for Access and Reuse

Navigating Open Licensing: Strategies for Access and Reuse

Lecture 23: Visualizing Data

Lecture 23: Visualizing Data

Lecture 16: (More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions

Lecture 16: (More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions

Lecture 12: Assessing and Deriving Estimators

Lecture 12: Assessing and Deriving Estimators

Lecture 11: Special Distributions, continued. The Sample Mean, Central Limit Theorem, and Estimation

Lecture 11: Special Distributions, continued. The Sample Mean, Central Limit Theorem, and Estimation

Lecture 14: Causality

Lecture 14: Causality

Lecture 07: Functions of Random Variables

Lecture 07: Functions of Random Variables

Lecture 19: Practical Issues in Running Regressions

Lecture 19: Practical Issues in Running Regressions

Lecture 21: Endogeneity and Instrument Variables

Lecture 21: Endogeneity and Instrument Variables

Lecture 02: Fundamentals of Probability

Lecture 02: Fundamentals of Probability

Lecture 15: Analyzing Randomized Experiments

Lecture 15: Analyzing Randomized Experiments

Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists

Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists

Lecture 05: Summarizing and Describing Data

Lecture 05: Summarizing and Describing Data

Lecture 04: Gathering and Collecting Data

Lecture 04: Gathering and Collecting Data

Lecture 03: Random Variables, Distributions, and Joint Distributions

Lecture 03: Random Variables, Distributions, and Joint Distributions

Lecture 13. Confidence Intervals, Hypothesis Testing, and Power Calculations

Lecture 13. Confidence Intervals, Hypothesis Testing, and Power Calculations

Lecture 20: Omitted Variable Bias

Lecture 20: Omitted Variable Bias

Lecture 17: The Linear Model

Lecture 17: The Linear Model

Lecture 08: Moments of Distribution

Lecture 08: Moments of Distribution

Lecture 09: Expectation, Variance, and Introduction to Regression

Lecture 09: Expectation, Variance, and Introduction to Regression

Lecture 06: Joint, Marginal, and Conditional Distributions

Lecture 06: Joint, Marginal, and Conditional Distributions

Lecture 22: Experimental Design

Lecture 22: Experimental Design

Lecture 10: Special Distributions

Lecture 10: Special Distributions

Lecture 18: The Multivariate Model

Lecture 18: The Multivariate Model

Lecture 18: Discrete Symmetries

Lecture 18: Discrete Symmetries

Lecture 9: Path Integral Formalism for QFT; Computation of Time-Ordered Correlation Functions

Lecture 9: Path Integral Formalism for QFT; Computation of Time-Ordered Correlation Functions

Lecture 11: Computation of Correlation Functions in Perturbation Theory and Feynman Diagrams

Lecture 11: Computation of Correlation Functions in Perturbation Theory and Feynman Diagrams

Lecture 13: Introducing the Dirac Equation

Lecture 13: Introducing the Dirac Equation

Lecture 24: Elementary Processes in QED (I)

Lecture 24: Elementary Processes in QED (I)

Lecture 12: More on Perturbation Theory and Feynman Diagrams

Lecture 12: More on Perturbation Theory and Feynman Diagrams

Lecture 25: Elementary Processes in QED (II)

Lecture 25: Elementary Processes in QED (II)

Lecture 8: Path Integral Formalism for Non-Relativistic Quantum Mechanics

Lecture 8: Path Integral Formalism for Non-Relativistic Quantum Mechanics

Lecture 3: Why Quantum Field Theory

Lecture 3: Why Quantum Field Theory

Lecture 6: Propagators and Green Functions

Lecture 6: Propagators and Green Functions

Lecture 1: Classical Field Theories and Principle of Locality

Lecture 1: Classical Field Theories and Principle of Locality

Lecture 21: Quantum Maxwell Theory (continued)

Lecture 21: Quantum Maxwell Theory (continued)

Lecture 26: Quantum Fluctuations and Renormalization

Lecture 26: Quantum Fluctuations and Renormalization

Lecture 7: Interacting Theories and S-Matrix

Lecture 7: Interacting Theories and S-Matrix

Lecture 4: Canonical Quantization of a Free Scalar Field Theory

Lecture 4: Canonical Quantization of a Free Scalar Field Theory

Lecture 23: Cross Section and Decay Rate

Lecture 23: Cross Section and Decay Rate

Lecture 20: Maxwell Theory and its Canonical Quantization

Lecture 20: Maxwell Theory and its Canonical Quantization

Lecture 14: Lorentz Covariance of the Dirac Equation

Lecture 14: Lorentz Covariance of the Dirac Equation

Lecture 19: Path Integrals of Fermions

Lecture 19: Path Integrals of Fermions

Lecture 10: Time-Ordered Correlation Functions in Field Theory

Lecture 10: Time-Ordered Correlation Functions in Field Theory

Lecture 22: Quantum Electrodynamics

Lecture 22: Quantum Electrodynamics

Lecture 5: Complex Scalar Field Theory and Anti-Particle

Lecture 5: Complex Scalar Field Theory and Anti-Particle

Lecture 2: Symmetries and Conservation Laws

Lecture 2: Symmetries and Conservation Laws

Lecture 17: Chiral and Majorana Spinors

Lecture 17: Chiral and Majorana Spinors

Lecture 15: Classical Solutions of Dirac Equations

Lecture 15: Classical Solutions of Dirac Equations

Lecture 16: Quantization of the Dirac Theory

Lecture 16: Quantization of the Dirac Theory

Using Mock Exams as an Opportunity to Model Thought Processes

Using Mock Exams as an Opportunity to Model Thought Processes

Lecture 2: Pronunciation, Grammar Review, the Case System, and Word-Formation

Lecture 2: Pronunciation, Grammar Review, the Case System, and Word-Formation

Lecture 8: Syntax, Part 1

Lecture 8: Syntax, Part 1

Lecture 6: Mock Exam, Verbs, Part 2, and Adjectives

Lecture 6: Mock Exam, Verbs, Part 2, and Adjectives

Lecture 5: Verbs, Part 1

Lecture 5: Verbs, Part 1

Lecture 9: Syntax, Part 2, and Sight Translation (20:02 - 25:18)

Lecture 9: Syntax, Part 2, and Sight Translation (20:02 - 25:18)

Lecture 4: Nouns

Lecture 4: Nouns

Lecture 7: Numerals, Adverbs, Conjunctions, Prepositions, Concord, and Word Order

Lecture 7: Numerals, Adverbs, Conjunctions, Prepositions, Concord, and Word Order

Lecture 3: Pronouns

Lecture 3: Pronouns

Five Factorizations of a Matrix

Five Factorizations of a Matrix

Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse

Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse

Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers

Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers

Lecture 5 Part 3: Differentiation on Computational Graphs

Lecture 5 Part 3: Differentiation on Computational Graphs

Lecture 15: Introduction to Solutions, General Case

Lecture 15: Introduction to Solutions, General Case

Lecture 4: Heat Engines and Energy Conversion Efficiency

Lecture 4: Heat Engines and Energy Conversion Efficiency

Lecture 22: Free Energy-Composition Diagrams, General Case

Lecture 22: Free Energy-Composition Diagrams, General Case

Supplemental Video: Gallium-Indium Eutectic Demo

Supplemental Video: Gallium-Indium Eutectic Demo

Lecture 32: Case Study - Reacting, Multi-component, Multi-phase Systems

Lecture 32: Case Study - Reacting, Multi-component, Multi-phase Systems

Lecture 29: Boltzmann Distribution

Lecture 29: Boltzmann Distribution

Lecture 26: CALPHAD - Case Studies and Guest Lecture

Lecture 26: CALPHAD - Case Studies and Guest Lecture

Lecture 20: Introduction to Binary Phase Diagrams

Lecture 20: Introduction to Binary Phase Diagrams

Supplemental Video: Ternary Phase Diagram and Ouzo Demo

Supplemental Video: Ternary Phase Diagram and Ouzo Demo

Lecture 2: Scope and Use of Thermodynamics

Lecture 2: Scope and Use of Thermodynamics

Lecture 6: Thermodynamic Potentials

Lecture 6: Thermodynamic Potentials

Supplemental Video: The Lever Rule

Supplemental Video: The Lever Rule

Lecture 5: Second Law and Entropy Maximization

Lecture 5: Second Law and Entropy Maximization

Lecture 16: Partial Molar Properties

Lecture 16: Partial Molar Properties

Lecture 31: Reacting Multi-phase Systems

Lecture 31: Reacting Multi-phase Systems

Lecture 8: Mathematical Implications of Equilibrium and Spontaneous Processes

Lecture 8: Mathematical Implications of Equilibrium and Spontaneous Processes

Lecture 18: Case Study in Reacting Gas Mixtures - Introducing the Nernst Equation

Lecture 18: Case Study in Reacting Gas Mixtures - Introducing the Nernst Equation

Lecture 27: Introduction to Statistical Thermodynamics

Lecture 27: Introduction to Statistical Thermodynamics

Lecture 14: Reacting Gas Mixtures at Equilibrium

Lecture 14: Reacting Gas Mixtures at Equilibrium

Supplemental Video: Ouzo Demo

Supplemental Video: Ouzo Demo

Lecture 10: Introduction to Unary Phase Transformations

Lecture 10: Introduction to Unary Phase Transformations

Lecture 24: Building Binary Phase Diagrams, Part II

Lecture 24: Building Binary Phase Diagrams, Part II

Lecture 4: Heat Engines and Energy Conversion Efficiency

Lecture 4: Heat Engines and Energy Conversion Efficiency

Lecture 24: Building Binary Phase Diagrams, Part II

Lecture 24: Building Binary Phase Diagrams, Part II

Lecture 15: Introduction to Solutions, General Case

Lecture 15: Introduction to Solutions, General Case

Supplemental Video: Ouzo Demo

Supplemental Video: Ouzo Demo

Lecture 32: Case Study - Reacting, Multi-component, Multi-phase Systems

Lecture 32: Case Study - Reacting, Multi-component, Multi-phase Systems

Lecture 19: Regular Solution Models and Stability

Lecture 19: Regular Solution Models and Stability

Lecture 30: Intermediate Phases and Reactions

Lecture 30: Intermediate Phases and Reactions

Lecture 11: Phase Coexistence in Unary Systems

Lecture 11: Phase Coexistence in Unary Systems

Lecture 9: Case Studies - Specific Heats and Phase Transformations

Lecture 9: Case Studies - Specific Heats and Phase Transformations

Lecture 30: Intermediate Phases and Reactions

Lecture 30: Intermediate Phases and Reactions

Lecture 17: Solution Models - Ideal, Dilute, and Regular

Lecture 17: Solution Models - Ideal, Dilute, and Regular

Lecture 20: Introduction to Binary Phase Diagrams

Lecture 20: Introduction to Binary Phase Diagrams

Lecture 7: Ideal Gas Processes

Lecture 7: Ideal Gas Processes

Lecture 18: Case Study in Reacting Gas Mixtures - Introducing the Nernst Equation

Lecture 18: Case Study in Reacting Gas Mixtures - Introducing the Nernst Equation

Supplemental Video: The Three Dees of Thermodynamics

Supplemental Video: The Three Dees of Thermodynamics

Lecture 9: Case Studies - Specific Heats and Phase Transformations

Lecture 9: Case Studies - Specific Heats and Phase Transformations

Lecture 26: CALPHAD - Case Studies and Guest Lecture

Lecture 26: CALPHAD - Case Studies and Guest Lecture

Lecture 13: Introduction to Ideal (Gas) Mixtures

Lecture 13: Introduction to Ideal (Gas) Mixtures

Lecture 28: Boltzmann Hypothesis

Lecture 28: Boltzmann Hypothesis

Lecture 17: Solution Models - Ideal, Dilute, and Regular

Lecture 17: Solution Models - Ideal, Dilute, and Regular

Lecture 19: Regular Solution Models and Stability

Lecture 19: Regular Solution Models and Stability

Lecture 11: Phase Coexistence in Unary Systems

Lecture 11: Phase Coexistence in Unary Systems

Lecture 21: Phase Coexistence and Separation

Lecture 21: Phase Coexistence and Separation

Lecture 27: Introduction to Statistical Thermodynamics

Lecture 27: Introduction to Statistical Thermodynamics

Lecture 3: Process Variables and the First Law

Lecture 3: Process Variables and the First Law

Supplemental Video: Ternary Phase Diagram and Ouzo Demo

Supplemental Video: Ternary Phase Diagram and Ouzo Demo

Supplemental Video: Sodium Acetate Demo

Supplemental Video: Sodium Acetate Demo

Lecture 23: Building Binary Phase Diagrams, Part I

Lecture 23: Building Binary Phase Diagrams, Part I

Lecture 14: Reacting Gas Mixtures at Equillibrium

Lecture 14: Reacting Gas Mixtures at Equillibrium

Lecture 10: Introduction to Unary Phase Transformations

Lecture 10: Introduction to Unary Phase Transformations

Lecture 8: Mathematical Implications of Equilibrium and Spontaneous Processes

Lecture 8: Mathematical Implications of Equilibrium and Spontaneous Processes

Lecture 1: Introduction to Thermodynamics

Lecture 1: Introduction to Thermodynamics

Lecture 1 Part 1: Introduction and Motivation

Lecture 1 Part 1: Introduction and Motivation

Lecture 8 Part 1: Derivatives of Eigenproblems

Lecture 8 Part 1: Derivatives of Eigenproblems

Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse (old)

Lecture 5 Part 1: Derivative of Matrix Determinant and Inverse (old)

Lecture 3 Part 1: Kronecker Products and Jacobians

Lecture 3 Part 1: Kronecker Products and Jacobians

Lecture 3 Part 2: Finite-Difference Approximations

Lecture 3 Part 2: Finite-Difference Approximations

Lecture 2 Part 1: Derivatives in Higher Dimensions: Jacobians and Matrix Functions

Lecture 2 Part 1: Derivatives in Higher Dimensions: Jacobians and Matrix Functions

Lecture 4 Part 2: Nonlinear Root Finding, Optimization, and Adjoint Gradient Methods

Lecture 4 Part 2: Nonlinear Root Finding, Optimization, and Adjoint Gradient Methods

Lecture 7 Part 2: Second Derivatives, Bilinear Forms, and Hessian Matrices

Lecture 7 Part 2: Second Derivatives, Bilinear Forms, and Hessian Matrices

Lecture 4 Part 1: Gradients and Inner Products in Other Vector Spaces

Lecture 4 Part 1: Gradients and Inner Products in Other Vector Spaces

Lecture 2 Part 2: Vectorization of Matrix Functions

Lecture 2 Part 2: Vectorization of Matrix Functions

Lecture 1 Part 2: Derivatives as Linear Operators

Lecture 1 Part 2: Derivatives as Linear Operators

Lecture 8 Part 2: Automatic Differentiation on Computational Graphs

Lecture 8 Part 2: Automatic Differentiation on Computational Graphs

Lecture 7 Part 1: Derivatives of Random Functions

Lecture 7 Part 1: Derivatives of Random Functions

Lecture 6 Part 1: Adjoint Differentiation of ODE Solutions

Lecture 6 Part 1: Adjoint Differentiation of ODE Solutions

Lecture 6 Part 2: Calculus of Variations and Gradients of Functionals

Lecture 6 Part 2: Calculus of Variations and Gradients of Functionals

Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers (old)

Lecture 5 Part 2: Forward Automatic Differentiation via Dual Numbers (old)

Lec27: Sociobiology and culture

Lec27: Sociobiology and culture

Lec26: Critique of cultural determinism

Lec26: Critique of cultural determinism