The University of Texas is offering free online course on Linear Algebra-Foundations to Frontiers. In this course applicants will learn the mathematics behind linear algebra and link it to matrix software development.
Course At A Glance
Length: 15 weeks
Effort: 8 hours pw
Institution: University of Texas and edx
Certificate Available: Yes, Add a Verified Certificate for $50
Session: Course starts on August 1, 2017
User Review( votes)
The University of Texas at Austin is the top-ranked public university in a nearly 1,000-mile radius, and is ranked in the top 25 universities in the world. Students have been finding their passion in life at UT Austin for more than 130 years, and it has been a member of the prestigious AAU since 1929. UT Austin combines the academic depth and breadth of a world research institute (regularly ranking within the top three producers of doctoral degrees in the country) with the fun and excitement of a big-time collegiate experience. It is currently the fifth-largest university in America, with more than 50,000 students and 3,000 professors across 17 colleges and schools. UT Austin will be opening the Dell Medical School in 2016.
About 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:
- It’s visual.
- It connects hand calculations, mathematical abstractions, and computer programming.
- It illustrates the development of mathematical theory.
- It’s applicable.
Why Take This Course?
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!
- 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
Dr. Maggie Myers is a lecturer for the Department of Computer Science and Division of Statistics and Scientific Computing.
Robert van de Geijn
Robert van de Geijn is a professor of Computer Science and a member of the Institute for Computational Engineering and Sciences and the Division of Statistics and Scientific Computation at the University of Texas at Austin.
High School Algebra, Geometry, and Pre-Calculus.
How To Join This Course
- Go to the course website link
- Create an edX account to SignUp
- Choose “Register Now” to get started.
- EdX offers honor code certificates of achievement, verified certificates of achievement, and
- XSeries certificates of achievement. Currently, verified certificates are only available in some courses.
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