Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

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.

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 ...

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 ...

[3] A retrieval algorithm for encrypted speech based on convolutional neural network and deep hashing. Multimedia Tools and Applications (2020). Back to "Information Retrieval and Web Search" ...

Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues, linked lists, trees, heaps, priority queues, and hash tables, and their ...

Merkle trees are data structures that enhance the efficiency of ... applications where data is sent through a hashing algorithm in different ways to create a hash that represents all ...

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

Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that the student has already taken an ...

Cryptographic hash functions combine message-passing ... Hash functions are data structures used in computing systems to ... Bitcoin uses the SHA-256 cryptographic hash function in its algorithm.