|Online course – price will no longer be an issue|
As a follow-up to the 6 Killer Resources for Getting Free University-Level Online Classes, here’s another six!
But, this time it is from the website Coursera. They are a social entrepeneurship company that partners with the top universities (Princeton, Stanford, University of Michigan, Penn just to say some) in the world to offer courses online for anyone to take, for free.
Starting April 23, 2012, they will offer the following:
- Automata – This course covers finite automata, context-free grammars, Turing machines, undecidable problems, and intractable problems (NP-completeness). This will be taught by Stanford’s Jeff Ullman.
- Compilers – This course will discuss the major ideas used today in the implementation of programming language compilers. You will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines! Stanford’s Alex Aiken will be the one handling this course.
- Computer Science 101 – teaches the essential ideas of Computer Science for a zero-prior-experience audience. The course uses small coding experiments in the browser to play with the nature of computers, understanding their strengths and limitations. Also from Stanford, Nick Parlante will head this course.
- Computer Vision: The Fundamentals – In this course, you will study the concepts and algorithms behind some of the remarkable successes of computer vision – capabilities such as face detection, handwritten digit recognition, reconstructing three-dimensional models of cities and more. Berkeley’s Jitendra Malik will guide you with the fundamentals.
- Introduction to Logic – In this course, you will learn how to formalize information and reason systematically to produce logical conclusions. You will also examine logic technology and its applications – in mathematics, science, engineering, business, law, and so forth. Michael Genesereth from Stanford will be the one introducing you to logic.
- Machine Learning – Learn with Stanford Professor Andrew Ng about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
I think I’m taking the Computer Vision course since this area (image processing) is particularly close to my heart 🙂 How about you? What do you plan to take (Let me know on the comment box below)? It’s free!
To our success in all areas of life,
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Image Source: http://www.flickr.com/photos/10687935@N04/3887516326
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