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 ...

The future of work will demand fluency in both science and technology. From addressing climate change to designing ethical AI ...

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 ...

With AI at the forefront of technology, it is essential to recognize its role in every aspect of our daily operations, from maintaining contact with our customers to leveraging our marketing and human ...

Universities across the country are scrambling to understand the implications of generative A.I.’s transformation of technology. Universities across the country are scrambling to understand the ...

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

The right double major for computer science depends on your interest and goals. A double major in engineering, mathematics, or comparable discipline supplements what you learn in a computer science ...