Data structures and algorithms constitute the foundational toolkit of computer science, enabling efficient storage, retrieval and manipulation of data. Data structures—ranging from arrays, linked ...

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, ...

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 ...

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 ...

When Eric Weber, professor and chair of mathematics at Iowa State University, talks about data science with future math ...

The computational manipulation of polynomials is a foundational element across pure and applied mathematics, computer algebra, cryptography and scientific computing. Central tasks include ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...