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 ...

This course is available with permission to General Course students. Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing ...

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 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 ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...

Lecture notes on Bernstein's inequality and subexponential random variables from CMU's Advanced Statistics course. Introduction to Random Matrix Theory, an active research field studying the ...