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Linear Algebra – Full College Course

Linear Algebra – Full College Course

Linear Algebra – Full College Course



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

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Comments (50)

  1. Lost me at the 12th minute 😂

  2. Thank you so much ill do this almost daily if i can ♡ i wanted to get into linear algebra but had no idea where to start as im not a mathematics major and was overwhelmed by it but this helps a lot

  3. This has to be the most confusing course I ever watched.

    I have to go look for external videos for every topic he discussed so I can understand them

  4. 16:12 😅😂

  5. Are there any math courses I need to take that are necessary to understand linear algebra

  6. I am planning to become an AI/ML engineer and need guidance on where to start with Linear Algebra. Does this playlist cover all necessary Linear Algebra topics for AI/ML? Does it include any material not required for this field? Can I rely solely on this resource for my learning needs? Detailed answers would be greatly appreciated. Thank you.

  7. i have an exam in vector algebra tomorrow and i havn't open the book in past three years😂
    wish me good luck😢

  8. Nice

  9. Did you guys solve all the problems in exercises or just the ones on topics he covered in the lectures?

  10. PROGRESS — 1:40:00

  11. I understood everything at the first time of watching. This has NEVER happened before.

  12. thank you, i had a terrible professor that nearly ruined this beautiful topic for me, by treating it like theres only one way to study or understand and only HIS way.

  13. Me after 11 hours😮😮😮

  14. For those of us who are doing self-study, Linear Algebra is not General Algebra. Complete Algebra 1 & 2, as well as Calculus 1 before attempting this course.

  15. Is this helpful if I want to change my career and dive into Python , AI and Data Analysis?

  16. What is the best book to learn linear algebra

  17. do you have a pure programming or algorithm version? I like going back and understanding the equations when necessary, but I'm trying to get the math into the computer as much as possible.

  18. Does this course is applicable for Machine Learning and data science?

  19. Thank you so much for your incredible efforts and all the knowledge you are pouring freely ..
    Big Hug🥰🥰🥰

  20. Can anyone tell me that this is also for Machine learning?

  21. man looks like lizard villain scientist in the amazing spider man

  22. Is it standard notation to represent rows with "P" instead of "R"? It seems to depend on the person teaching… I also noticed you didn't use the matrix format when converting to REF.

  23. I just wanted to say thank you so much for making this so readily available. I'm 40, and I want to enhance my retention and generally brush up on things that I haven't encountered in over 20 years. I deeply appreciate you making these videos, and making the textbook freely available. Knowledge should be free. I know that this is a huge effort, and I just wanted to say, from the bottom of my heart, thank you so much for your academic service to the learning public.

  24. Is these course useful for gate exam

  25. Part 2 [07:50:28 video length]: https://youtu.be/DJ6YwBN7Ya8

  26. Random urge to watch a 11 hour video on linear algebra

  27. Jim Hefferon seems like an absolutely wonderful human being

  28. where are the answers for the problems in text book?

  29. Just realized that first 5 minutes is the most important, and we all should apply it, to take this course effectively.

  30. My exams are tomorrow. Let's do this.

  31. My God, what I would've given to have a math teacher like when I was in school and in college… your way of teaching is so motivating!!! Thank you so much for your time and dedication on this!

  32. Can I use this course for learning required for Data Science?

  33. Good lesson thanks for sharing.

  34. Could you activate the captions?😢

  35. mann.. you americans do linear algebra different then europeans

  36. Hello!

  37. Thank you so much 🎉

  38. Shouldn't page 197 ex 1.29 say inverse image instead of image? or change the solution; changing x to x/2 and y to y/3 won't make the circle smaller.

  39. Mad respect for all of this work, not to mention the advice section

  40. Damn!

  41. Hello hi hi

  42. why not use matrices @15 mins?

  43. "The problem isn't hard itself, the hard part is to know what you're asked to do".
    Gonna live with this quote now

  44. Halp.

    I understand that the exercises come with solutions, so that I can check my work. Where can I find them?

    It would be really helpful if the textbook's table of contents listed the exercises and solutions, especially because that's the primary reason I have the book.

  45. Wow, This is so great that a course like this is free online. This is far better than my university lectures.

  46. Sir,Awesome class.from Bangladesh

  47. Hi, hi, hello!

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