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

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.

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 ...

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

Learning Outcomes Explain fundamental concepts for algorithmic searching and sorting Describe heap data structures and analyze heap components, such as arrays and priority queues Design basic ...

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.

Catalog : EECE.3220 Data Structures (Formerly 16.322) Id: 003179 Credits Min: 3 Credits Max: 3 Description Covers algorithms and their performance analysis, data structures, abstraction, and ...

A cryptographic hash function combines the message-passing capabilities of hash functions with security properties. Hash functions are algorithms that determine how information is encrypted.

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 ...