In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, we will learn the most important ...

Computational thinking is increasingly recognised as a fundamental approach to problem solving that transcends traditional disciplinary boundaries. It involves organising complex challenges into ...