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 ...

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 ...

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, ...

The Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who owns books and at least one shelf. The algorithm addresses ...

Ph.D. in Computer Science and Engineering PhD student Jasmine Cashbaugh tests a drone's ability to track a UAV The Doctor of Philosophy (Ph.D.) degree is conferred by the School of Engineering ...

The library sorting problem is used across computer science for organizing far more than just books. A new solution is less than a page-width away from the theoretical ideal.

Computer engineering majors use computer science, engineering and mathematics to assess problems and design solutions for digital ... data structures and algorithms, computer systems engineering, ...

Software engineering is a young profession that has become vital to our society. Industries, services, health care, finance, security, education and the government depend on software assets and ...

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 ...