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Learn Linear Algebra in this 20-hour college course. Watch the second half here: https://youtu.be/DJ6YwBN7Ya8 This course is taught by Dr. Jim Hefferon, a professor of mathematics at St Michael's College. 📔 The course follows along with Dr. Hefferon's Linear Algebra text book. The book is available for free: http://joshua.smcvt.edu/linearalgebra/book.pdf 📚 Access additional course resources at: https://hefferon.net/linearalgebra/ 🔗 Stephen Chew's Learning How to Learn series: https://www.youtube.com/watch?v=htv6eap1-_M&list=PL85708E6EA236E3DB 🔗 3Blue1Brown's Linear Algebra series: https://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Introduction to Linear Algebra by Hefferon ⌨️ (0:04:35) One.I.1 Solving Linear Systems, Part One ⌨️ (0:26:08) One.I.1 Solving Linear Systems, Part Two ⌨️ (0:40:56) One.I.2 Describing Solution Sets, Part One ⌨️ (0:54:21) One.I.2 Describing Solution Sets, Part Two ⌨️ (1:02:48) One.I.3 General = Particular + Homogeneous ⌨️ (1:18:33) One.II.1 Vectors in Space ⌨️ (1:35:08) One.II.2 Vector Length and Angle Measure ⌨️ (1:51:31) One.III.1 Gauss-Jordan Elimination ⌨️ (2:00:00) One.III.2 The Linear Combination Lemma ⌨️ (2:44:32) Two.I.1 Vector Spaces, Part One ⌨️ (3:08:12) Two.I.1 Vector Spaces, Part Two ⌨️ (3:33:01) Two.I.2 Subspaces, Part One ⌨️ (3:58:16) Two.I.2 Subspaces, Part Two ⌨️ (4:23:43) Two.II.1 Linear Independence, Part One ⌨️ (4:45:11) Two.II.1 Linear Independence, Part Two ⌨️ (5:03:57) Two.III.1 Basis, Part One ⌨️ (5:23:55) Two.III.1 Basis, Part Two ⌨️ (5:42:34) Two.III.2 Dimension ⌨️ (6:03:24) Two.III.3 Vector Spaces and Linear Systems ⌨️ (6:25:09) Three.I.1 Isomorphism, Part One ⌨️ (6:54:08) Three.I.1 Isomorphism, Part Two ⌨️ (7:21:47) Three.I.2 Dimension Characterizes Isomorphism ⌨️ (7:43:43) Three.II.1 Homomorphism, Part One ⌨️ (8:14:52) Three.II.1 Homomorphism, Part Two ⌨️ (8:30:24) Three.II.2 Range Space and Null Space, Part One ⌨️ (9:00:17) Three.II.2 Range Space and Null Space, Part Two. ⌨️ (9:20:57) Three.II Extra Transformations of the Plane ⌨️ (9:52:06) Three.III.1 Representing Linear Maps, Part One. ⌨️ (10:13:18) Three.III.1 Representing Linear Maps, Part Two ⌨️ (10:34:18) Three.III.2 Any Matrix Represents a Linear Map ⌨️ (10:58:32) Three.IV.1 Sums and Scalar Products of Matrices ⌨️ (11:19:14) Three.IV.2 Matrix Multiplication, Part One ⌨️ Three.IV.2 Matrix Multiplication, Part Two (We accidentally left this section out. Watch it here: https://youtu.be/aWubyx5bBn4) The following sections are in the second video: https://youtu.be/DJ6YwBN7Ya8 ⌨️ Three.IV.3 Mechanics of Matrix Multiplication ⌨️ Three.IV.4 Matrix Inverse, Part One ⌨️ Three.IV.4 Matrix Inverse, Part Two ⌨️ Three.V.1 Changing Vector Representations ⌨️ Three.V.2 Changing Map Representations, Part One ⌨️ Three.V.2 Changing Map Representations, Part Two ⌨️ Three.VI Projection ⌨️ Four.I.1 Determinants ⌨️ Four.I.3 Permutation Expansion, Part One ⌨️ Four.I.3 Permutation Expansion, Part Two ⌨️ Four.I.4 Determinants Exist (optional) ⌨️ Four.II.1 Geometry of Determinants ⌨️ Four.III.1 Laplace's formula for the determinant ⌨️ Five.I.1 Complex Vector Spaces ⌨️ Five.II.1 Similarity ⌨️ Five.II.2 Diagonalizability ⌨️ Five.II.3 Eigenvalues and Eigenvectors, Part One ⌨️ Five.II.3 Eigenvalues and Eigenvectors, Part Two ⌨️ Five.II.3 Geometry of Eigenvalues and Eigenvectors -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp
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