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, ...

Follow, explain, trace, and be able to implement standard computer science algorithms using standard data types, such as a stack-based evaluation of arithmetic expressions or a traversal of a graph.

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, priority queues, disjoint set unions, binary ...

Among the top choices for engineering aspirants are the Indian Institutes of Technology (IITs), which consistently rank high ...

Computer science is a discipline of study that focuses on computation, information and automation. The pervasiveness of computing and data in the modern world gives computer science a centrality akin ...

The core of the bachelor’s degree curriculum in computer science includes programming methodologies, the analysis of algorithms and data structures and the study of operating systems.

The Department of Computer Science at William & Mary offers a stimulating, collegial environment in which to pursue M.S. or Ph.D. degrees in Computer Science. These degrees may concentrate on ...

A degree in computer science incorporates both theoretical learning and practical experience. Through a full range of engaging courses, you’ll encounter foundational concepts such as programming, ...

The 30th Annual European Symposium on Algorithms awarded its 2021 Test-of-Time Award to Sorin Istrail, professor of computational and mathematical sciences and professor of computer science, and his ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, heaps, priority queues, disjoint set unions, ...