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, ...

Computer Science 141: Introduction to Programming, Computer Science 241: Data Structures, Computer Science 243: Discrete Structures of Computer Science, at least one other 300-400 level Computer ...

New breakthroughs for fundamental problems in computer science. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2015 / 10 / 151019110942.htm ...

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

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 ...

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, ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information..

Jacob Holm was flipping through proofs from an October 2019 research paper he and colleague Eva Rotenberg—an associate professor in the department of applied mathematics and computer science at ...

Mathematicians have only been able to exactly compute a handful of the smallest Ramsey numbers. They proved that r(4, 5) = 25 in 1995.But nobody knows the value of r(4, 6).Similarly, in the early ...