In this series, for the most part, I’ll focus on higher-level algorithms used to process data structures, such as the Binary Search and Matrix Multiplication algorithms.

When a program attempts to search a data structure for a particular item, it uses an algorithm. An algorithm is a process, defined in code, for carrying out a specific task.

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, ...

Cross-listed with DTSA 5503 Course Type: Pathway | Breadth Specialization: Foundations of Data Structures and Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

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 ...

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 ...

More broadly, the algorithm offers a nice lesson in the power of cross-pollination between technology and academia -- a link that Google, of course, has embodied from the start.