Linear algebra turns out to be one of the

most essential tools in many areas of computer science. One of the goals of this course is

to give people the tools to think about problems in terms of vectors and matrices, rather

than seeing vectors and matrices as these abstract objects that are described purely

mathematically. You can use vectors to represent states of all kinds of systems. You can use

it to represent population distribution or the behavior of a random surfer. We see images

as vectors. We see audio clips as vectors. We see messages that might need to be encrypted

as vectors. We’re going to take a very hands-on approach. We’re going to write programs in

Python to implement vectors and matrices and use those programs to analyze data and

solve real problems. This approach can be more work but it’s so satisfying when it comes

off. When you actually run your programming and get results. One disclaimer. We cover

a lot of interesting applications like face detection, searching audio. We don’t always

present the most state-of-the-art advanced method but a way that gives you insight into

the underlying linear algebra at the same time as it solves the problem. This course

is great preparation for other courses in computer science you might take, graphics,

machine learning, statistics or algorithms. It’s such a fundamental topic and yet traditional

courses on linear algebra have not done justice to the applicability of this field.

I can't access this course anymore

I want to badly take this course but disappointed to find that it has been removed. The contents look quite interesting. COURSERA and BROWN UNIVERSITY please make efforts to revive this course.