This course provides a new approach to learning linear algebra through matrices. The learning outcomes include understanding the column space of a matrix, orthogonal vectors, eigenvalues, eigenvectors, singular values, and singular vectors. The course teaches skills such as finding the nullspace by solving Ax = 0 through elimination. The teaching method consists of brief videos introducing key concepts. The intended audience for this course is individuals interested in gaining a foundational understanding of linear algebra.
MIT - A 2020 Vision of Linear Algebra, Spring 2020
Massachusetts Institute of Technology via YouTube
Overview
Syllabus
Intro: A New Way to Start Linear Algebra.
Part 1: The Column Space of a Matrix.
Part 2: The Big Picture of Linear Algebra.
Part 3: Orthogonal Vectors.
Part 4: Eigenvalues and Eigenvectors.
Part 5: Singular Values and Singular Vectors.
Part 6: Finding the Nullspace: Solving Ax = 0 by Elimination.
Taught by
MIT open courseware
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Reviews
5.0 rating, based on 1 Class Central review
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Muneeb BasuBest summarization I have ever seen! Thank you very much for making this small but big insightful course accessible to us. Keep bringing those courses for us! I don't think there would be any else big duty you can do to humanity than making good knowledge accessible!
