See How It Works for details. This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic ...

It 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) . We will ...

What do Sudoku, AI, Rubik’s cubes, clocks and molecules have in common? They can all be reimagined as algebraic equations.

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 ...

Topics include hardware, software, algorithms, operating systems, networks. An introduction to computer programming motivated by the analysis of biological data sets and the modeling of biological ...

As quantum computing hardware advances, the demand for scalable, precise, and fully automated verification techniques for ...

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 ...

“There are new inventions, new platforms, new devices, new algorithms and new ways of programming. To keep up, we try to hire mathematicians, physicists and computer scientists.” Kotovirta’s ...

In software development, there’s a need to develop algorithms and programming languages adapted to a hybrid environment of classical and quantum computing, train developers in new programming ...