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 is often ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

Today we’re going to talk about on how we organize the data we use on our devices. Today we’re going to talk about on how we organize the data we use on our devices. You might remember last episode we ...

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 ...

Data structures and algorithms constitute the foundational pillars of computer science. They provide the systematic methods for organising, storing and manipulating data, and offer step-by-step ...

Computer Science: Data Structures and Algorithms (DS&A) are the essential "backbone" of computer science's huge architecture, giving almost all contemporary technologies their structural integrity. DS ...

A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

*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.

An introduction to programming using MATLAB. Topics include MATLAB interactive environment, programming basics, MATLAB scripts, functions, vectors, matrices, data analysis, and graphic visualization.

The math of data structures helps us understand how different storage systems come with different trade-offs between ...