Project Amber has brought a number of new features to Java in recent years. While each of these features is self-contained, they are also designed to work together, enabling data-oriented programming.

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, ...

Programming C without variables is like, well, programming C without variables. They are so essential to the language that it doesn’t even require an analogy here. We can declare and use them… ...

This tutorial launches a short series introducing data structures and algorithms. In Part 1, you’ll learn what a data structure is and how data structures are classified.

A data structure design, as defined by Idreos and his team in a recent publication, consists of 1) the data organization, 2) an optional index, and 3) the algorithms that support basic operations ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

It is largely (although not entirely) a myth that lots of software developers are good at building large scale software but weak in data structures and algorithms. Back to basics: ...

CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503 CSCA 5424: Approximation Algorithms and Linear Programming CSCA 5454: Advanced Data Structures, RSA and Quantum ...