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 ...

When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers.

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

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

Reasoning and decision-making at the molecular level could lead to incredible advances in biotechnology (as well as other sciences). Imagine a future with "intelligent drugs"-drugs that have been ...

Advanced study in models of computation, programming languages and algorithms with a specific focus on concurrent programming. The course includes models of computation, programming language paradigms ...

Here are two stories about love in the age of the algorithm. The first one is from the hit sitcom The Big Bang Theory, which features a cast of science geeks trying to navigate through the non-geek ...

Computers can be used to help solve problems. However, before a problem can be tackled, it must first be understood. Computational thinking helps us to solve problems. Designing, creating and refining ...