Developing data literacy and computational thinking skills allows us to come up with logical solutions to problems in a wide variety of contexts. The first stage of computational problem-solving, is ...

Computational complexity and proof systems are fundamental areas in theoretical computer science that explore the limits of what can be computed and how efficiently problems can be solved. Recent ...

Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

Computational thinking (CT) is a way of solving problems so we can present solutions that a computer, a human, or both, can understand. Thinking computationally is not programming. It is not even ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

Theoretical computer scientists deal with complicated ideas. But whenever possible, they’d prefer to work with simpler ones. A 2009 tool known as the regularity lemma gives them a great way to do this ...

The great promise of quantum computers is that, based on quantum mechanical principles, they are capable of solving certain computational problems fundamentally faster than classical computers However ...