From arrays to trees, this guide makes data structures simple. Master the basics and start building smarter, faster code today.

Struggling with data structures? Here are 5 essential tips (plus 1 bonus!) that will help you master the concepts and build a ...

Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues, linked lists, trees, heaps, priority queues, and hash tables, and their ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Data Structures & Algorithms pathway instructor give an overview of the topics covered in this pathway. Watch the 'Data Science Foundations: Data Structures & Algorithms Pathway' Video (5 min.) ...

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

The team led by Professor Simon J. Puglisi focuses on efficient algorithms and data structures for searching, storing, and manipulating strings, trees and graphs, and applications thereof (like ...