mavii

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 understand the concepts covered in the following two ...

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, and sorting. Required for computer science majors.

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that scientists need to figure out the best ways to feed them information to take full advantage.

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

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 functions, and control loops. Data structures: lists ...

Tour of the most important data structures, fundamental algorithms ... greedy algorithms, randomisation in algorithms, sorting algorithms, algorithmic lower bounds, graph algorithms. This course is delivered through a combination of lectures and classes ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, optimization problems and complexity analysis. The course includes ...