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Computer Programming

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45 Free Online Computer Science Courses. Copyright © 1999-2012 GoDaddy.com, LLC. All rights reserved. *One FREE .COM, .CO, .NET or .ORG with purchase of a new 12-, 24- or 36-month website builder plan. Plus ICANN fee of $0.18 per domain name per year. You must add the domain name into your cart before purchase, and you must select a domain term length equal to or less than the term length of your website builder plan to qualify for the free domain offer. If you purchase a domain name for a term longer than the term of the website builder plan, you will be charged for the additional registration term at the then-current rate. . + New .COMs $7.99/yr plus 18 cents/yr ICANN fee. 100+ Open Courseware Collections for Aspiring Web Devs. Stanford Video Course. Since 2008, Academic Earth has worked diligently to compile an ever-growing collection of online college courses, made available free of charge, from some of the most respected universities.

Stanford Video Course

We proudly build on the precedent set forth by MIT OpenCourseware, believing that everyone deserves access to a world-class education. To facilitate this goal, we have curated links to over 750 online courses and 8,500 individual online lectures, giving students of all ages unparalleled access to college courses they may otherwise never experience.

Whether supplementing existing coursework, or learning for the sake of learning, anyone with an internet connection has the freedom to learn at their own pace from world-renowned experts, without the burden of rising tuition costs. To access this collection of free online college courses, simply select your area of interest from the menu below. From Art and Design to Social Science, Academic Earth is sure to have the course you’re looking for. Introduction to Computer Science and Programming. Introduction to Algorithms. Programming Optimization: Techniques, examples and discussion. In the old days, it was pretty easy to understand that writing your programs in assembly would tend to yield higher performing results than writing in higher level languages.

Programming Optimization: Techniques, examples and discussion

Compilers had solved the problem of "optimization" in too general and simplistic a way, and had no hope of competing with the sly human assembly coder. These days the story is slightly different. Compilers have gotten better and the CPUs have gotten harder to optimize for. Inside some research organizations the general consensus is that compilers could do at least as well as humans in almost all cases. During a presentation I gave to some folks at AT&T Bell labs (a former employer) I explained that I was going to implement a certain piece of software in assembly language, which raised eyebrows. But have compilers really gotten so good that humans cannot compete? Here's an off the cuff post from Anthony Tribelli on rec.games.programmer: For more, see Randall Hyde's Great Debate page. Programming Challenges Audio. At its best, computer science is an exciting blend of programming, mathematics, and problem solving.

Programming Challenges Audio

This course will introduce an interesting variety of subjects in programming, algorithms, and discrete mathematics though puzzles and problems which have appeared in the International ACM Programming Contest and similar venues. These audio lectures are derived from my course Programming Challenges taught at Stony Brook and based on the book Programming Challenges: The Programming Contest Training Manual by Steven S. Skiena and Miguel A. Revilla, Springer-Verlag, New York, 2003. Lecture notes and audio for the 2003 version of the course: