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 ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

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, ...

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 ...

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 ...

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 ...

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 ...

The Saint Louis University Department of Computer Science is committed to the development and study of computing technologies for the greater good of humanity. SLU offers bachelor's, master's and ...

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 ...