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 ...

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.

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

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 ...

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.

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

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 non ...

These structures are designed to optimise storage and accelerate query times, thereby enabling the processing of dynamic data, such as real-time navigation and motion tracking in complex ...

This course introduces students to the fundamental concepts of data structures such as stacks, queues, linear and linked lists, trees, graphs, hashing, etc., using the C programming language.