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Udacity CS373 Class

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Certificates have gone out! Check your e-mails!

Also remember - if you did not have time to finish the course the first time, or if you want a higher grade - you can take it again. It's now self-paced, so no pressure of deadlines, you can learn at your own speed!
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Udacity CS373 Class

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The final exam has been posted!


Grading for the final will be different than the homework grading has been.
You will receive immediate feedback on your responses (but we won't tell you the correct solution until after the exam is due).

This will let you correct any mistakes and ensure that the final exam is an assessment and learning opportunity.

We hope you have enjoyed the ride with us!
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Udacity CS373 Class

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This reminds me of the luggage in Terry Pratchett. I forget which book. The one with Rincewind the wizard. I believe it was made of Sapient Pearwood.
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Udacity CS373 Class

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I put it here:
http://www.udacity-forums.com/cs373/questions/16651/homework-3-4-circular-motion-a-different-derivation

It didn't attract much interest, but nevertheless I was happy to figure out that I could derive the motion using linear algebra.
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Udacity CS373 Class

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So, the grading robots have done their work! You can expect your certificates to arrive some time next week.
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Here is a visualization framework for Python, that can be used in class as well. Made by forum user dov:
http://www.udacity-forums.com/cs373/questions/23731/announcement-of-simple-animation-visualization-framework-for-python.

The EuclideanGeometryViewer (or Euv for short) is a python module for displaying 2D graphics animation. It is based on the concept of frames, which is composed of a number of geometrical objects.
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Udacity CS373 - Programming a Robotic Car Class
Introduction
What is CS373 - Building a Robotic Car?

This class, taught by one of the foremost experts in AI, will teach you basic methods in Artificial Intelligence, including: probabilistic inference, search, planning, localisation and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars.

Why should I learn how to build a robot car? 

First of all, this is a fascinating subject. The technologies involved are cutting edge, but the theories behind them are simpler than you might think. In addition to learning the math and science behind these technologies, you will also improve your coding probabilities as you solve the same problems that scientists at places like Google, Stanford, and MIT have been working on for years. Having these skills will not only be personally fulfilling, but could have benefits to your professional life as well. Taking this course is the first step that you can take towards creating a world where every car on the road drives itself. If you love learning or just hate traffic, this course is for you.