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Participate in Stanford courses, seminars, and webinars online and be part of the Stanford University spirit of innovation and openness. Through the Stanford Center for Professional Development, you may take online individual graduate or professional courses and work toward a graduate certificate, professional certificate, or master of science degree.
The Stanford faculty includes members of the National Academy of Sciences and the National Academy of Engineering. Lectures can be viewed online anytime to fit your schedule, from anywhere with a high-speed Internet connection.
Tap into groundbreaking research and discovery at Stanford with seminars and webinars given by Stanford faculty, senior researchers, and industry experts.
For security reasons and the protection of your personal information, your session will time out due to a period of inactivity in minute(s) and second(s).
For security reasons and the protection of your personal information, your session timed out after a period of inactivity. Standford University is joining the likes of MIT and UC Berkeley, by making some of their courses available (for free!) online (in MIT’s case, that would be all of their courses).
This fall, SEE launches its programming by offering one of Stanford’s most popular engineering sequences: the three-course Introduction to Computer Science taken by the majority of Stanford undergraduates, and seven more advanced courses in artificial intelligence and electrical engineering. Though what’s even better is that this introduction sequence goes from zero to implementing-a-miniature-webserver (in Python) in just three courses. If anyone is in high school with a canceled Computer Science program (and unfortunately there are plenty of such), Stanford’s series of videos will bring one up to speed of the world-class first year University level Computer Science.

But where is Canada, when it comes to leading the academic education of Computer Science, in an accessible manner? What I’d like to see, is to have some Canadian Universities, that are at least perceived to be the leaders in technological fields, to open up some of their academic material.
I think it’s pretty funny Stanford would use a promotional picture, where the student in the lower left of the image is obviously sleeping.
I’ve gained some programmer basics but something like this would really benefit my learning. This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License. Paul Hegarty teaches the course, and he assumes that you have experience programming in C, and some familiarity with UNIX, object-oriented programming and graphical toolkits.
I am interesetd about the IPod for known the technology which in the craze on the Recently World??!
A developer friend of mine asked me to recommend something for learning how to build iPhone Apps fast and easy so he could put it in practice right away. Our online statistics courses reflect the exciting research and world-class teaching of Stanford faculty from the School of Engineering. Network with a diverse group of individuals who bring their professional and industry perspectives into the classroom or online. Recursion, algorithmic analysis, data abstraction, data structures, concurrent programming, memory management….

Having briefly looked over the videos, the professors seemed interesting enough to make those lectures of value even to those who are familiar with the material, but perhaps are interested in refreshing the core basics of their knowledge. It was highly recommended by most experienced developers and they even convinced me that I should start reading it too.
A large part of this is almost certainly due to the opportunity that the App Store gives developers to make money, but the great development tools that Apple provide, in the form of XCode and Interface Builder, and also the Objective-C programming language, which iOS developers are required to use, certainly play their part.
Do you have to know how to program in C in order to make an app on all these recommended links above?
Explore areas such as predictive models and analytics, strategic decision-making, algorithmic trading, and biostatistics. Using 8 different programming languages (in various capacities) — C, Objective C, C++, C#, Java, LISP, Python, Scheme. Perspective students (if the business of education needs financial convincing) get to preview the top-quality education that they are being promised.

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stanford free online courses algorithms

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