If the computer didn’t get the right answer, Rosenblatt figured out he could go back to the triggers and tweak their individual thresholds until the computer came up with the right answer. Modern ...

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 ...