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 ...

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.

CSCA 5454: Advanced Data Structures, RSA and Quantum Algorithms Note that you do NOT need to complete all five courses within this specialization to earn admission to the Online MS-CS degree. However, ...

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, ...

Basic toolkit for the design and analysis of algorithms: Running time, Recurrence relations, Big-O notation, Correctness, Finite induction, Loop invariants. Tour of the most important data structures, ...

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 ...

Examines several design issues, including selection of data structures based on operations to be optimized, algorithm encapsulation using classes and templates, and how and when to use recursion.

Like arrays, which were introduced in Part 3 of this tutorial series, linked lists are a fundamental data structure category upon which more complex data structures can be based.

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