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 ...

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, ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...

Vol. 15, No. 2, Navigating in the Digital Era: Digital Literacy: Socio-Cultural and Educational Aspects (April 2012), pp. 115-124 (10 pages) ABSTRACT In this paper we describe the results that we have ...

Computer programming is a lot like chess. It is fairly simple to teach people the moves. But knowing how the pieces move isn’t the reason you can win. You have to understand how the pieces work ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications. Recent ...

The rapid evolution of persistent memory (PM) technologies has spurred a significant shift in how data structures and algorithms are designed and implemented. Persistent memory, offering ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...