Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...

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.

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 ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

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.

Dijkstra’s algorithm was long thought to be the most efficient way to find a graph’s best routes. Researchers have now proven that it’s “universally optimal.” ...

Learn how to search and sort linked lists in Java! Find out which algorithms are most used to sort linked lists and how each one stacks up for performance ...

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 ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

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 ...