I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

Click each topic area to learn more about specific courses. Provides students with a comprehensive survey of technologies used today in the collection, storage, processing, analytics and display of ...

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 ...

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 ...

22:544:643 Information Security 22:544:603 Business Data Management 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining) 22:544:613 Introduction to Data Structures and Algorithms ...

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.

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

These structures are designed to optimise storage and accelerate query times, thereby enabling the processing of dynamic data, such as real-time navigation and motion tracking in complex ...