A degree in Computer Science requires basic courses in the principles of computer science and mathematics. If you intend to major in Computer Science, by the time you finish your sophomore year, you ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: We highly recommended successfully completing ...

Academics from the University of Bristol will present new breakthroughs on two fundamental problems in Computer Science. These results will be presented at the world's leading international ...

Program Prerequisites Entry into the Data Science MS program assumes basic knowledge in statistical and mathematical techniques, computer programming, information systems and databases, and ...

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.

Basic concepts of data. Linear lists, strings, arrays, and orthogonal lists. Trees and graphs. Storage systems and structures. Storage allocation and collection. Multilinked structures. Symbol tables, ...

Engineers could use this breakthrough in graph theory to design wildly efficient quantum computer chips.

That work culminated in an October paper in which Bandeira proved (together with five co-authors) that synchronization is inevitable in special types of networks called expander graphs, which are ...

Description 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 ...

This course will discuss fundamental concepts and tools in discrete mathematics with emphasis on their applications to computer science. Example topics include logic and Boolean circuits; sets, ...