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 ...

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 ...

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 ...

*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.

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.

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

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work better ...