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 ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

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, ...

CATALOG DESCRIPTION: Design and analysis of advanced algorithms: graph algorithms; maximal network flows; min-cost flow algorithms; convex cost flows. REQUIRED TEXT ...

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.

You Might Also Like Data Structures: Crash Course Computer Science #14 5/31/2017 | 10m 6sVideo has Closed Captions| CC Today we’re going to talk about on how we organize the data we use on our ...

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

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.

Learn all about array and list data structures in Java, and the algorithms you can use to search and sort the data they contain ...