Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Last month Sebastian Thrun, Stanford professor and Google fellow, and develop of Google’s self-driving car, announced he was leaving Stanford teaching (he will remain as a research fellow) to focus ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

This unit will introduce middle school students to basic Python programming concepts while exploring space science themes. The unit will culminate in a final project where students create a simple ...

Sixty years ago, on May 1, 1964, at 4 am in the morning, a quiet revolution in computing began at Dartmouth College. That’s when mathematicians John G. Kemeny and Thomas E. Kurtz successfully ran the ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

Machine learning is hard. Algorithms in a particular use case often either don't work or don't work well enough, leading to some serious debugging. And finding the perfect algorithm–the set of rules a ...

This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) ...