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Massachusetts Institute of Technology via YouTube Video playlist
MIT 18.085 Computational Science & Engineering I, Fall 2007
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.
A more recent version of this course is available at: http://ocw.mit.edu/18-085f08
Note: This course was previously called "Mathematical Methods for Engineers I".
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Videos in this playlist 32
- Lec 1 | MIT 18.085 Computational Science and Engineering I
- Lec 2 | MIT 18.085 Computational Science and Engineering I
- Lec 3 | MIT 18.085 Computational Science and Engineering I
- Lec 4 | MIT 18.085 Computational Science and Engineering I
- Lec 5 | MIT 18.085 Computational Science and Engineering I
- Lec 6 | MIT 18.085 Computational Science and Engineering I
- Lec 7 | MIT 18.085 Computational Science and Engineering I
- Lec 8 | MIT 18.085 Computational Science and Engineering I
- Lec 9 | MIT 18.085 Computational Science and Engineering I
- Lec 10 | MIT 18.085 Computational Science and Engineering I
- Lec 11 | MIT 18.085 Computational Science and Engineering I
- Lec 12 | MIT 18.085 Computational Science and Engineering I
- Lec 13 | MIT 18.085 Computational Science and Engineering I
- Lec 14 | MIT 18.085 Computational Science and Engineering I
- Lec 15 | MIT 18.085 Computational Science and Engineering I
- Lec 16 | MIT 18.085 Computational Science and Engineering I
- Lec 17 | MIT 18.085 Computational Science and Engineering I
- Lec 18 | MIT 18.085 Computational Science and Engineering I
- Lec 19 | MIT 18.085 Computational Science and Engineering I
- Lec 20 | MIT 18.085 Computational Science and Engineering I
- Lec 21 | MIT 18.085 Computational Science and Engineering I
- Lec 22 | MIT 18.085 Computational Science and Engineering I
- Lec 23 | MIT 18.085 Computational Science and Engineering I
- Lec 24 | MIT 18.085 Computational Science and Engineering I
- Lec 25 | MIT 18.085 Computational Science and Engineering I
- Lec 26 | MIT 18.085 Computational Science and Engineering I
- Lec 27 | MIT 18.085 Computational Science and Engineering I
- Lec 28 | MIT 18.085 Computational Science and Engineering I
- Lec 29 | MIT 18.085 Computational Science and Engineering I
- Lec 30 | MIT 18.085 Computational Science and Engineering I
- Lec 31 | MIT 18.085 Computational Science and Engineering I
- Lec 32 | MIT 18.085 Computational Science and Engineering I
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.
- 110,087 views, so help and notes are easy to find.
- Completely free.
- Self-paced: start any time.
- A clear syllabus (32 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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