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 ...

The big picture: The rapid rise of generative artificial intelligence is prompting a fundamental rethinking of computer science education in the US. As AI-powered tools become increasingly proficient ...