Coding the Matrix Linear Algebra through Computer Science Applications with Phi

Coding the Matrix  Linear Algebra through Computer Science Applications with Phi


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.

2 thoughts on “Coding the Matrix Linear Algebra through Computer Science Applications with Phi”

  1. 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.

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