Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt is often ...

Want to learn more? Click the button below to watch the Data Science Foundations: Data Structures & Algorithms pathway instructor give an overview of the topics covered in this pathway. Watch the ...

Today we’re going to talk about on how we organize the data we use on our devices. Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data. What this data consists of ...

Computers are all around us. How does this affect the world we live in? This course is a broad introduction to computing technology for humanities and social science students. Topics will be drawn ...

The Bachelor of Science (B.S.) in Computer Science at William & Mary prepares students for the ever-evolving field of computing technology. Students will engage with a rigorous and comprehensive ...

Being on the leading edge of computer science is more than writing code. At Luther, you'll learn about the essential problem-solving and critical/analytical skills you need to be competitive in the ...

My research focuses on the intersection of computer science education and biomedical computing, with particular emphasis on artificial intelligence in computer science education, medical image ...