This is an advanced undergraduate course on algorithms. This course examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

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

Dynamic programming (DP) algorithms have become indispensable in computational biology, addressing problems that range from sequence alignment and phylogenetic inference to RNA secondary structure ...

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 ...

Some people enjoy solving problems, and then there are those who land top tech jobs by doing just that. Competitive programming (CP) is a sport for the mind, where coders have to solve problems with ...

If Vladimir Putin glances out the windows of the Kremlin at just the right moment, he has a chance of glimpsing the world’s best computer programmer in Google’s Moscow office across the river. Wired ...

In a companion paper (Godfrey and Powell 2002) we introduced an adaptive dynamic programming algorithm for stochastic dynamic resource allocation problems, which arise in the context of logistics and ...

MELAKA: A tech-savvy Melaka teen has published a book for youngsters interested in competitive programming. Neo Yong Li, 17, said his book is comprehensible enough for beginners to prepare and ...

Analyst firm IDC predicts that by 2020, the amount of data generated each year will reach 35 zetabytes. Companies are fighting this deluge in numerous ways. Some archive data for analysis at a later ...