Coding Together - Free iOS5 App Class with Friends
Written by Sue Gee
Wednesday, 20 June 2012
Stanford's free iPhone and iPad apps online course is about to restart. It now has a new interactive social dimension that allows you to share it with friends and get help from other participants.
Stanford's iPhone and iPad Development class has already had over 10 million downloads on iTunes U, making it one of the most popular online courses on earth.
For its new session, which is about to start, it adds a feature that is new to iTunes - peer collaboration.
For the first time, the Apps for iPhone & iPad class, is going to by bolstered by the social learning site, Piazza which is used by Stanford students in the on-campus version of the class.
This means you that rather than struggle on your own you can learn alongside fellow mobile developers from around the world - making it both more fun and making it more likely that you stay the course.
The Coding Together experiment, is based on the Fall 2011 class taught in video lectures with regular assignment by Professor Paul Hegarty.
According to its Piazza web page:
If you've tried it alone and gotten stuck, now there will be people to help. If you've taken it before and aced it, now you can sharpen your knowledge by helping others. And if you've been meaning to learn Apps for iPhone & iPad, there may never be a better time.
The 10-week course is free and runs from June 25 through August 16. Registration is now open and to participate in Coding Together, you must register to create your Piazza account before July 6.
There are no grades in Coding Together, but if you're one of the first 1,000 people to register and you sign into Piazza regularly, your final project will be considered for special mention by Stanford.
Support for Windows XP ends next week. Updates and technical assistance for the operating system will already be unavailable on April 8th. We've known this date was coming since April 2011. Even so XP [ ... ]
A while back we reported on Google's attempts at creating machine vision that was good enough to read house numbers photographed in Street View. Performance has now got a whole lot better since the te [ ... ]