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 ...

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, ...

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

*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.

What makes some good software developers good at building large scale software but weak at data structures and algorithms? originally appeared on Quora: the place to gain and share knowledge, ...

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 ...

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 ...

This course is available on the BSc in Accounting and Finance, Erasmus Reciprocal Programme of Study and Exchange Programme for Students from University of California, Berkeley. This course is ...