data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search trees, hash tables, priority queues, graphs, shortest paths, ...

Searching Graph Algorithms: Depth/Breadth First Search, Shortest Paths, Spanning Trees. P vs NP: definitions and familiarity NP complete problems. knowledge of writing programs in Python3. Python3 ...

Tour of the most important data structures, fundamental algorithms ... greedy algorithms, randomisation in algorithms, sorting algorithms, algorithmic lower bounds, graph algorithms. This course is ...

In a network, pairs of individual elements, or nodes, connect to each other; those connections can represent a sprawling system with myriad individual links. A hypergraph goes deeper: It gives ...

These models, they're stupid. But they have a lot of data, and they have a lot of processing. And therefore they look much ...

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 ...

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 ...

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

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 ...