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 ...

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, ...

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 ...

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 ...

In this example, Employee is a self-referential class because its next field has type Employee. This field is an example of a link field because it can store a reference to another object of its class ...

This course is compulsory on the BSc in Data Science and BSc in Mathematics with Data Science. This course is available on the BSc in Mathematics and Economics, BSc in Mathematics with Economics, BSc ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

Modern video coding architectures are at the forefront of addressing the increasing demands for efficient data compression, high-resolution broadcasting, and real-time processing in a global ...