227videosMIT RES.6-012 Introduction to Probability, Spring 2018
MIT OpenCourseWarePlaylist · 227 videos · 28 h 42 min
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227videos
109videosMIT 6.042J Mathematics for Computer Science, Spring 2015
MIT OpenCourseWarePlaylist · 109 videos · 18 h 42 min
86videosMIT 18.01SC: Homework Help for Single Variable Calculus
MIT OpenCourseWarePlaylist · 86 videos · 14 h 19 min
76videosMIT 6.041SC Probabilistic Systems Analysis and Applied Probability, Fall 2013
MIT OpenCourseWarePlaylist · 76 videos · 31 h 30 min
70videosMIT 18.02SC: Homework Help for Multivariable Calculus
MIT OpenCourseWarePlaylist · 70 videos · 13 h 10 min
All 60 playlists
- MIT Learn Differential Equations · 67 videos
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- MIT 3.091SC Introduction to Solid State Chemistry, Fall 2010 · 61 videos
- MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 · 59 videos
- MIT 18.085 Computational Science & Engineering I, Fall 2008 · 50 videos
- MIT 8.20 Introduction to Special Relativity, January IAP 2021 · 50 videos
- MIT 5.08J Biological Chemistry II, Spring 2016 · 49 videos
- MIT RES.6-006 Video Demonstrations in Lasers and Optics · 47 videos
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- Electromagnetic Fields & Energy, Textbook Components w Video · 45 videos
- MIT RES.15-003 Shaping the Future of Work, Spring 2016 · 45 videos
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- MIT IDS.333 Risk and Decision Analysis, Fall 2021 · 44 videos
- MIT 3.091 Introduction to Solid-State Chemistry, Fall 2018 · 44 videos
- MIT 21M.383 Computational Music Theory and Analysis, Spring 2023 · 42 videos
- MIT 3.60 Symmetry, Structure & Tensor Properties of Material · 41 videos
- MIT CMS.611J Creating Video Games, Fall 2014 · 41 videos
- MIT STEM Concept Videos · 40 videos
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- MIT ES.S41 Speak Italian With Your Mouth Full, Spring 2012 · 39 videos
- MIT 2.003SC Engineering Dynamics, Fall 2011 · 39 videos
- MIT Calculus Revisited: Single Variable Calculus · 38 videos
- MIT 5.80 Small-Molecule Spectroscopy and Dynamics, Fall 2008 · 38 videos
- MIT 6.00SC Introduction to Computer Science and Programming · 38 videos
- MIT 6.622 Power Electronics, Spring 2023 · 38 videos
- MIT 14.01SC Principles of Microeconomics · 37 videos
- MIT 7.01SC Fundamentals of Biology · 37 videos
- MIT 5.111 Principles of Chemical Science, Fall 2008 · 36 videos
- MIT 5.111 Principles of Chemical Science, Fall 2005 · 36 videos
- MIT 5.60 Thermodynamics & Kinetics, Spring 2008 · 36 videos
- MIT 18.06 Linear Algebra, Spring 2005 · 36 videos
- MIT 3.020 Thermodynamics of Materials, Spring 2021 · 36 videos
- MIT 5.61 Physical Chemistry, Fall 2017 · 36 videos
- MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 · 36 videos
- MIT 18.02 Multivariable Calculus, Fall 2007 · 35 videos
- MIT 18.01 Single Variable Calculus, Fall 2006 · 35 videos
- MIT 7.012 Introduction to Biology, Fall 2004 · 35 videos
- MIT 5.112 Principles of Chemical Science, Fall 2005 · 35 videos
- MIT 9.14 Brain Structure and Its Origins, Spring 2014 · 35 videos
- MIT 5.111 Principles of Chemical Science, Fall 2014 · 35 videos
- MIT 7.016 Introductory Biology, Fall 2018 · 35 videos
- MIT 3.091 Introduction to Solid State Chemistry, Fall 2004 · 34 videos
- MIT 7.014 Introductory Biology, Spring 2005 · 34 videos
- MIT 22.01 Introduction to Nuclear Engineering and Ionizing Radiation, Fall 2016 · 34 videos
- MIT 6.046J Design and Analysis of Algorithms, Spring 2015 · 34 videos
- MIT 18.085 Computational Science & Engineering I, Fall 2007 · 32 videos
- MIT 5.07SC Biological Chemistry I, Fall 2013 · 32 videos
Lec 1 | MIT 18.06 Linear Algebra, Spring 2005
4.93M viewsGilbert Strang's first lecture of MIT 18.06: the geometry of linear equations.
How to Speak
23.5M viewsPatrick Winston's MIT lecture on how to speak: openings, structure, slides and closings.
Lecture 1A: Overview and Introduction to Lisp
421K viewsLecture 1A of Abelson and Sussman's 1986 Structure and Interpretation of Computer Programs course: what computer science is about, and an introduction to Lisp.
1. Introduction, Finite Automata, Regular Expressions
629K viewsLecture 1 of MIT 18.404 Theory of Computation by Michael Sipser: finite automata, regular languages and regular expressions.
Lecture 1: Introduction to Superposition
9.37M viewsMIT 8.04 Quantum Physics I, lecture 1: superposition, introduced through experiments with 'hardness' and 'color'.
45:391. Algorithms and Computation
2.12M viewsMIT 6.006, lecture 1: The course's model of computation, what correctness and efficiency mean, and asymptotic notation.
52:2310. Depth-First Search
50.8K viewsMIT 6.006, lecture 10: Depth-first search, reachability, topological sort and cycle detection.
49:2010. The Four Fundamental Subspaces
788K viewsMIT 18.06, lecture 10: The four fundamental subspaces of a matrix and their dimensions.
51:2610. Understanding Program Efficiency, Part 1
256K viewsMIT 6.0001, lecture 10: Measuring program efficiency and an introduction to big-O.
45:5611. Matrix Spaces; Rank 1; Small World Graphs
539K viewsMIT 18.06, lecture 11: Matrix spaces, rank-one matrices and an application to small-world graphs.
49:1311. Understanding Program Efficiency, Part 2
127K viewsMIT 6.0001, lecture 11: Common complexity classes from constant to exponential.
57:3311. Weighted Shortest Paths
40.7K viewsMIT 6.006, lecture 11: Weighted shortest paths, the relaxation framework and DAG shortest paths.
57:4012. Bellman-Ford
36.9K viewsMIT 6.006, lecture 12: Bellman-Ford on graphs with negative weights and how it detects negative cycles via graph duplication.
47:5712. Graphs, Networks, Incidence Matrices
446K viewsMIT 18.06, lecture 12: Incidence matrices of graphs and networks, linking the four subspaces to Kirchhoff's laws.
48:3212. Searching and Sorting
197K viewsMIT 6.0001, lecture 12: Search and sorting algorithms, from bisection search to merge sort.
57:2213. Dijkstra
43.3K viewsMIT 6.006, lecture 13: Dijkstra's algorithm, why it needs non-negative weights, and its running time with different priority queues.
56:5314. APSP and Johnson
22.8K viewsMIT 6.006, lecture 14: All-pairs shortest paths and Johnson's algorithm's reweighting trick.
49:4814. Orthogonal Vectors and Subspaces
653K viewsMIT 18.06, lecture 14: Orthogonal vectors and subspaces, and why the row space is orthogonal to the nullspace.
57:1815. Dynamic Programming, Part 1: SRTBOT, Fib, DAGs, Bowling
154K viewsMIT 6.006, lecture 15: The SRTBOT framework for designing dynamic programs, worked through Fibonacci, DAG paths and the bowling problem.
48:5115. Projections onto Subspaces
639K viewsMIT 18.06, lecture 15: Projecting a vector onto a line and onto a subspace.
58:4416. Dynamic Programming, Part 2: LCS, LIS, Coins
81.8K viewsMIT 6.006, lecture 16: Dynamic programming on subsequences: longest common subsequence, longest increasing subsequence and coin games.
48:0516. Projection Matrices and Least Squares
559K viewsMIT 18.06, lecture 16: Projection matrices and fitting a line by least squares.
1:03:4517. Dynamic Programming, Part 3: APSP, Parens, Piano
37.2K viewsMIT 6.006, lecture 17: DP with expanded subproblems: all-pairs shortest paths via Floyd-Warshall, optimal parenthesization and piano fingering.
1:03:4518. Dynamic Programming, Part 4: Rods, Subset Sum, Pseudopolynomial
38.4K viewsMIT 6.006, lecture 18: Rod cutting, subset sum and what pseudopolynomial running time means.
49:1218. Properties of Determinants
490K viewsMIT 18.06, lecture 18: The defining properties of determinants and the rules that follow from them.
59:0919. Complexity
40.4K viewsMIT 6.006, lecture 19: Complexity classes P, NP, EXP, reductions and NP-completeness at an introductory level.
53:1719. Determinant Formulas and Cofactors
421K viewsMIT 18.06, lecture 19: The big formula for determinants and cofactor expansion.
43:312. Branching and Iteration
653K viewsMIT 6.0001, lecture 2: Branching with if/else and iteration with while and for loops.
50:182. Data Structures and Dynamic Arrays
717K viewsMIT 6.006, lecture 2: The difference between interfaces and data structures, linked lists, and how dynamic arrays get amortized constant-time appends.
47:422. Elimination with Matrices.
3.44M viewsMIT 18.06, lecture 2: Gaussian elimination written as multiplication by elimination matrices, and when elimination breaks down.
51:0120. Cramer's Rule, Inverse Matrix, and Volume
404K viewsMIT 18.06, lecture 20: Cramer's rule, the inverse-matrix formula and the determinant as volume.
51:5022. Diagonalization and Powers of A
608K viewsMIT 18.06, lecture 22: Diagonalization and computing powers of a matrix, with Fibonacci as the example.
51:0323. Differential Equations and exp(At)
425K viewsMIT 18.06, lecture 23: Solving linear differential equations with eigenvalues and the matrix exponential.
47:5226. Complex Matrices; Fast Fourier Transform
327K viewsMIT 18.06, lecture 26: Complex matrices, Hermitian matrices and the fast Fourier transform.
50:4027. Positive Definite Matrices and Minima
292K viewsMIT 18.06, lecture 27: Positive definite matrices, the tests for them and their link to minima.
46:493. Multiplication and Inverse Matrices
1.97M viewsMIT 18.06, lecture 3: Four ways to multiply matrices and how Gauss-Jordan elimination computes an inverse.