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Massachusetts Institute of Technology via YouTube Video playlist

MIT 18.085 Computational Science & Engineering I, Fall 2008

Overview

This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.

Note: This course was previously called "Mathematical Methods for Engineers I".

View the Complete Course at: ocw.mit.edu/18-085F08

Videos in this playlist 50

  1. Lec 1 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  2. Rec 1 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  3. Lec 2 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  4. Lec 3 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  5. Lec 4 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  6. Rec 2 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  7. Lec 5 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  8. Lec 6 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  9. Lec 7 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  10. Rec 3 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  11. Lec 8 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  12. Lec 9 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  13. Rec 4 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  14. Lec 10 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  15. Lec 11 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  16. Lec 12 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  17. Rec 5 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  18. Lec 13 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  19. Lec 14 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  20. Rec 6 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  21. Lec 15 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  22. Lec 16 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  23. Lec 17 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  24. Rec 7 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  25. Lec 18 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  26. Lec 19 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  27. Lec 20 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  28. Rec 8 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  29. Lec 21 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  30. Lec 22 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  31. Lec 23 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  32. Rec 9 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  33. Lec 24 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  34. Lec 25 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  35. Lec 26 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  36. Rec 10 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  37. Lec 27 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  38. Lec 28 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  39. Rec 11 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  40. Lec 29 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  41. Lec 30 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  42. Lec 31 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  43. Rec 12 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  44. Lec 32 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  45. Lec 33 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  46. Lec 34 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  47. Rec 13 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  48. Lec 35 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  49. Lec 36 | MIT 18.085 Computational Science and Engineering I, Fall 2008
  50. Course Introduction | MIT 18.085 Computational Science and Engineering I, Fall 2008

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
  • 457,633 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (50 videos) you can see before you start.
  • Start watching right away, no sign-up.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.

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