Data structures offer different ways to store data items, while the algorithms provide techniques for managing this data. Computing applications use many different types of data. Some applications ...

Instead, start with the basics and learn to do two things: Learn when and how to use different data structures and their algorithms in ... on the exact algorithmic complexity of some operation ...

and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity in terms of running time and space usage Create applications that are ...

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

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Classical algorithms for persistent homology have two steps (the ‘pipeline’). First, one processes the data to allow the construction of a topological structure such as a simplicial complex ...

data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, ...

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 ...