Mastering DSA is essential for improving coding efficiency and cracking technical interviews.The right DSA books provide ...

CSCA 5414: Dynamic Programming, Greedy Algorithms – Cross-listed with DTSA 5503; CSCA 5424: Approximation Algorithms and Linear Programming; CSCA 5454: Advanced Data Structures, RSA and Quantum ...

All of the data structures we’ll look at in this series are aggregates. Containers. Anything from which data items are stored and retrieved could be considered a data structure.

This specialization is ideal for learners interested in programming applications that process large amounts of data and are familiar with the basics of programming in Python. By completing this ...

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.

Data structures and algorithms are vital elements in many computing applications. ... When a program attempts to search a data structure for a particular item, it uses an algorithm.

Examines several design issues, including selection of data structures based on operations to be optimized, algorithm encapsulation using classes and templates, and how and when to use recursion.

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

Intended primarily to train students for the International Collegiate Programming Contest (ICPC), this course covers data structures, algorithms, and programming techniques that apply to typical ...

Tour of the most important data structures, fundamental algorithms, and algorithm design techniques: lists, stacks, queues, dynamic arrays, hash tables, heaps, priority queues, disjoint set unions, ...