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 ...

Foundations of Data Structures and Algorithms Specialization Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and ...

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.

DTSA 5502 Trees and Graphs: Basics DTSA 5503 Dynamic Programming, Greedy Algorithms - Same as CSCA 5414 Total: 3 credits Want to learn more? Click the button below to watch the Data Science ...

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 ...

1 Design, select and implement key data structures in C++. 2 Implement algorithms using these data structures to solve practical problem scenarios. 3 Analyze, compare and classify algorithms. 4 Using ...

Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model the application data.

All algorithms deal with data and most often the design of an algorithm starts by defining a data structure that will enable faster problem solving by minimizing computation and data movement.