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This course is costly - Rs. 3473/-.

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62% of the students have found this course difficult.

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88% of the students have liked how the instructor has taught this course.

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94% of the students are overall satisfied with this course.

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120 hours

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UTAustin

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Certification

You will get a certificate on completing this course.

University

The course is not from a very prestigious university.

Price

This course is costly - Rs. 3473/-.

Difficulty

62% of the students have found this course difficult.

Content

84% of the students have liked the content of this course.

Assignments

82% of the students have liked the assignments of this course.

Teaching

88% of the students have liked how the instructor has taught this course.

Satisfaction

94% of the students are overall satisfied with this course.

Edvicer's Rewards

You can get a cashback of ₹ 150 on buying this course.

Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets. Students appreciate our unique approach to teaching linear algebra because: ItÃ¢â¬â¢s visual. It connects hand calculations, mathematical abstractions, and computer programming. It illustrates the development of mathematical theory. ItÃ¢â¬â¢s applicable. In this course, you will learn all the standard topics that are taught in typical undergraduate linear algebra courses all over the world, but using our unique method, you'll also get more! LAFF was developed following the syllabus of an introductory linear algebra course at The University of Texas at Austin taught by Professor Robert van de Geijn, an expert on high performance linear algebra libraries. Through short videos, exercises, visualizations, and programming assignments, you will study Vector and Matrix Operations, Linear Transformations, Solving Systems of Equations, Vector Spaces, Linear Least-Squares, and Eigenvalues and Eigenvectors. In addition, you will get a glimpse of cutting edge research on the development of linear algebra libraries, which are used throughout computational science. MATLAB licenses will be made available to the participants free of charge for the duration of the course.To see what former learners have to say about the course, read reviews on coursetalk. We invite you to LAFF with us!

Connections between linear transformations, matrices, and systems of linear equations

Partitioned matrices and characteristics of special matrices

Algorithms for matrix computations and solving systems of equations

Vector spaces, subspaces, and characterizations of linear independence

Orthogonality, linear least-squares, eigenvalues and eigenvectors

Reviews from Class Central

"> I had seen the topics with more depth before, but I took the course because I wanted to remember some things. The truth was, I remembered a lot and also make me see the things a little different. Read More ...

"> Very good course. Highly recommended. I on a self-taught track and this course reminded me of important concepts and methods linear algebra. It also provides a glimpse of abstraction about slicin Read More ...

"> I took this course with no background in linear algebra with the hope that I could learn the fundamentals before beginning my online masters in data analytics. Robert and Maggie are great instruc Read More ...

"> Two decades ago I took in college the LA course in a formal setting, only solved problems for exams, never viewed LA as such an important foundational course for almost everything in Computer Sci Read More ...

"> Awesome introductory course to Linear Algebra because the instructors for this course are excellent. It was the first time taking a MOOC and I am new to Linear Algebra, but took the course to pre Read More ...

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