Computer science is an ever-evolving field that impacts almost every aspect of our daily lives, yet understanding how its ...

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 ...

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

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.

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.

Description 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 ...

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 ...

Concept drift requires continuous monitoring of predictions versus the actual situations, with statistical measures and tests. Data drift means tracking the statistical distribution of input data.

Foundations of Data Structures and Algorithms Specialization Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and ...