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

Technical Introduction The proliferation of heterogenous computing and associated complexity of multiple vendor hardware offerings introduces a combinatorial explosion in platform diversity. From the ...

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 search ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

Overview Memory errors arise when programs demand more memory than the system can provide.Processing data in smaller parts ...

*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.

Learn how Python's dictionary data structure works as a powerful and versatile way to store and retrieve objects and data in your applications. Programming languages all come with a variety of data ...

A filesystem is a fundamental component of any operating system. It is the system that manages how data is stored and retrieved on a storage device. In the world of Linux, filesystems play a crucial ...