Linear Algebra - Foundations to Frontiers
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. 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!Created by: The University of Texas at Austin
Level: Intermediate
Related Online Courses
Want to learn how to create a digital product that is truly ready for the world? One that can be released in many markets and for different languages without any alterations to its code? This is... more
Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you... more
Building a fully-fledged algorithm to assemble genomes from DNA fragments on a real dataset is an enormous challenge with major demand in the multi-billion dollar biotech industry. In this capstone... more
This is an introductory course to learn programming with Java designed to teach how to code good programs in Java, understanding “good” as both correct and efficient. Basic principles of sof... more
If you have specific questions about this course, please contact us atsds-mm@mit.edu. Machine learning methods are commonly used across engineering and sciences, from computer systems to physics.... more