OLHOpen Lecture Hall

All lectures

88 lectures from 8 university courses. Search by topic, course or instructor.

Still from the lecture “Lecture 1: The geometry of linear equations”

Lecture 1: The geometry of linear equations

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 2: Elimination with matrices”

Lecture 2: Elimination with matrices

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 3: Multiplication and inverse matrices”

Lecture 3: Multiplication and inverse matrices

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 4: Factorization into A = LU”

Lecture 4: Factorization into A = LU

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 5: Transposes, permutations, spaces R^n”

Lecture 5: Transposes, permutations, spaces R^n

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 6: Column space and nullspace”

Lecture 6: Column space and nullspace

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 7: Solving Ax = 0: pivot variables, special solutions”

Lecture 7: Solving Ax = 0: pivot variables, special solutions

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 8: Solving Ax = b: row reduced form R”

Lecture 8: Solving Ax = b: row reduced form R

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 9: Independence, basis, and dimension”

Lecture 9: Independence, basis, and dimension

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 10: The four fundamental subspaces”

Lecture 10: The four fundamental subspaces

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 11: Matrix spaces; rank 1; small world graphs”

Lecture 11: Matrix spaces; rank 1; small world graphs

Linear Algebra · Prof. Gilbert Strang

Still from the lecture “Lecture 1: Rate of Change”

Lecture 1: Rate of Change

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 2: Limits”

Lecture 2: Limits

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 3: Derivatives”

Lecture 3: Derivatives

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 6: Exponential and Log”

Lecture 6: Exponential and Log

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 7: Exam 1 Review”

Lecture 7: Exam 1 Review

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 16: Differential Equations”

Lecture 16: Differential Equations

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 25: Exam 3 Review”

Lecture 25: Exam 3 Review

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 27: Trig Integrals”

Lecture 27: Trig Integrals

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 28: Inverse Substitution”

Lecture 28: Inverse Substitution

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 31: Parametric Equations”

Lecture 31: Parametric Equations

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 32: Polar Coordinates”

Lecture 32: Polar Coordinates

Single Variable Calculus · Prof. David Jerison

Still from the lecture “Lecture 1: Introduction and Proofs”

Lecture 1: Introduction and Proofs

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 2: Induction”

Lecture 2: Induction

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 3: Strong Induction”

Lecture 3: Strong Induction

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 4: Number Theory I”

Lecture 4: Number Theory I

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 5: Number Theory II”

Lecture 5: Number Theory II

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 6: Graph Theory and Coloring”

Lecture 6: Graph Theory and Coloring

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 7: Matching Problems”

Lecture 7: Matching Problems

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 8: Graph Theory II: Minimum Spanning Trees”

Lecture 8: Graph Theory II: Minimum Spanning Trees

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 9: Communication Networks”

Lecture 9: Communication Networks

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 10: Graph Theory III”

Lecture 10: Graph Theory III

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 11: Relations, Partial Orders, and Scheduling”

Lecture 11: Relations, Partial Orders, and Scheduling

Mathematics for Computer Science · Prof. Tom Leighton

Still from the lecture “Lecture 1: Algorithmic Thinking, Peak Finding”

Computer Science

Lecture 1: Algorithmic Thinking, Peak Finding

Introduction to Algorithms · Srini Devadas

Still from the lecture “Lecture 2: Models of Computation, Document Distance”

Computer Science

Lecture 2: Models of Computation, Document Distance

Introduction to Algorithms · Erik Demaine

Still from the lecture “Lecture 3: Insertion Sort, Merge Sort”

Computer Science

Lecture 3: Insertion Sort, Merge Sort

Introduction to Algorithms · Srini Devadas

Still from the lecture “Lecture 4: Heaps and Heap Sort”

Computer Science

Lecture 4: Heaps and Heap Sort

Introduction to Algorithms · Srini Devadas

Still from the lecture “Lecture 5: Binary Search Trees, BST Sort”

Computer Science

Lecture 5: Binary Search Trees, BST Sort

Introduction to Algorithms · Srini Devadas

Still from the lecture “Lecture 6: AVL Trees, AVL Sort”

Computer Science

Lecture 6: AVL Trees, AVL Sort

Introduction to Algorithms · Erik Demaine

Still from the lecture “Lecture 7: Counting Sort, Radix Sort, Lower Bounds for Sorting”

Computer Science

Lecture 7: Counting Sort, Radix Sort, Lower Bounds for Sorting

Introduction to Algorithms · Erik Demaine

Still from the lecture “Lecture 8: Hashing with Chaining”

Computer Science

Lecture 8: Hashing with Chaining

Introduction to Algorithms · Erik Demaine

Still from the lecture “Lecture 9: Table Doubling, Karp-Rabin”

Computer Science

Lecture 9: Table Doubling, Karp-Rabin

Introduction to Algorithms · Erik Demaine

Still from the lecture “Lecture 10: Open Addressing, Cryptographic Hashing”

Computer Science

Lecture 10: Open Addressing, Cryptographic Hashing

Introduction to Algorithms · Srini Devadas

Still from the lecture “Lecture 11: Integer Arithmetic, Karatsuba Multiplication”

Computer Science

Lecture 11: Integer Arithmetic, Karatsuba Multiplication

Introduction to Algorithms · Srini Devadas

Still from the lecture “Lecture 1: What is Computation?”

Computer Science

Lecture 1: What is Computation?

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 2: Branching and Iteration”

Computer Science

Lecture 2: Branching and Iteration

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 3: String Manipulation, Guess and Check, Approximations, Bisection”

Computer Science

Lecture 3: String Manipulation, Guess and Check, Approximations, Bisection

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 4: Decomposition, Abstraction, and Functions”

Computer Science

Lecture 4: Decomposition, Abstraction, and Functions

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 5: Tuples, Lists, Aliasing, Mutability, and Cloning”

Computer Science

Lecture 5: Tuples, Lists, Aliasing, Mutability, and Cloning

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 6: Recursion and Dictionaries”

Computer Science

Lecture 6: Recursion and Dictionaries

Introduction to Computer Science and Programming in Python · Prof. Eric Grimson

Still from the lecture “Lecture 7: Testing, Debugging, Exceptions, and Assertions”

Computer Science

Lecture 7: Testing, Debugging, Exceptions, and Assertions

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 8: Object Oriented Programming”

Computer Science

Lecture 8: Object Oriented Programming

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 9: Python Classes and Inheritance”

Computer Science

Lecture 9: Python Classes and Inheritance

Introduction to Computer Science and Programming in Python · Dr. Ana Bell

Still from the lecture “Lecture 10: Understanding Program Efficiency, Part 1”

Computer Science

Lecture 10: Understanding Program Efficiency, Part 1

Introduction to Computer Science and Programming in Python · Prof. Eric Grimson

Still from the lecture “Lecture 11: Understanding Program Efficiency, Part 2”

Computer Science

Lecture 11: Understanding Program Efficiency, Part 2

Introduction to Computer Science and Programming in Python · Prof. Eric Grimson

Still from the lecture “Lecture 1: Introduction and Scope”

Computer Science

Lecture 1: Introduction and Scope

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 2: Reasoning: Goal Trees and Problem Solving”

Computer Science

Lecture 2: Reasoning: Goal Trees and Problem Solving

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 3: Reasoning: Goal Trees and Rule-Based Expert Systems”

Computer Science

Lecture 3: Reasoning: Goal Trees and Rule-Based Expert Systems

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 4: Search: Depth-First, Hill Climbing, Beam”

Computer Science

Lecture 4: Search: Depth-First, Hill Climbing, Beam

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 5: Search: Optimal, Branch and Bound, A*”

Computer Science

Lecture 5: Search: Optimal, Branch and Bound, A*

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 6: Search: Games, Minimax, and Alpha-Beta”

Computer Science

Lecture 6: Search: Games, Minimax, and Alpha-Beta

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 7: Constraints: Interpreting Line Drawings”

Computer Science

Lecture 7: Constraints: Interpreting Line Drawings

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 8: Constraints: Search, Domain Reduction”

Computer Science

Lecture 8: Constraints: Search, Domain Reduction

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 9: Constraints: Visual Object Recognition”

Computer Science

Lecture 9: Constraints: Visual Object Recognition

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 10: Introduction to Learning, Nearest Neighbors”

Computer Science

Lecture 10: Introduction to Learning, Nearest Neighbors

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 11: Learning: Identification Trees, Disorder”

Computer Science

Lecture 11: Learning: Identification Trees, Disorder

Artificial Intelligence · Patrick H. Winston

Still from the lecture “Lecture 1: Introduction”

Natural Sciences

Lecture 1: Introduction

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 2: Neuroanatomy”

Natural Sciences

Lecture 2: Neuroanatomy

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 4: Cognitive Neuroscience Methods I”

Natural Sciences

Lecture 4: Cognitive Neuroscience Methods I

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 5: Cognitive Neuroscience Methods II”

Natural Sciences

Lecture 5: Cognitive Neuroscience Methods II

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 6: Experimental Design”

Natural Sciences

Lecture 6: Experimental Design

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 7: Category Selectivity, Controversies, and MVPA”

Natural Sciences

Lecture 7: Category Selectivity, Controversies, and MVPA

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 8: Navigation I”

Natural Sciences

Lecture 8: Navigation I

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 9: Navigation II”

Natural Sciences

Lecture 9: Navigation II

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 10: Development, Nature & Nurture I”

Natural Sciences

Lecture 10: Development, Nature & Nurture I

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 11: Development, Nature & Nurture II (2018)”

Natural Sciences

Lecture 11: Development, Nature & Nurture II (2018)

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 13: Number”

Natural Sciences

Lecture 13: Number

The Human Brain · Prof. Nancy Kanwisher

Still from the lecture “Lecture 2: Discovery of Electron and Nucleus”

Natural Sciences

Lecture 2: Discovery of Electron and Nucleus

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 4: Wave-Particle Duality of Matter”

Natural Sciences

Lecture 4: Wave-Particle Duality of Matter

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 8: Multielectron Atoms and Electron Configurations”

Natural Sciences

Lecture 8: Multielectron Atoms and Electron Configurations

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 10: Covalent Bonds”

Natural Sciences

Lecture 10: Covalent Bonds

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 12: Ionic Bonds”

Natural Sciences

Lecture 12: Ionic Bonds

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 16: Thermochemistry”

Natural Sciences

Lecture 16: Thermochemistry

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 20: Le Chatelier's Principle”

Natural Sciences

Lecture 20: Le Chatelier's Principle

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 21: Acid-Base Equilibrium”

Natural Sciences

Lecture 21: Acid-Base Equilibrium

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 26: Chemical and Biological Redox Reactions”

Natural Sciences

Lecture 26: Chemical and Biological Redox Reactions

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 27: Transition Metals”

Natural Sciences

Lecture 27: Transition Metals

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor

Still from the lecture “Lecture 32: Nuclear Chemistry and Elementary Reactions”

Natural Sciences

Lecture 32: Nuclear Chemistry and Elementary Reactions

Principles of Chemical Science · Catherine Drennan, Elizabeth Vogel Taylor