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 ...

When a program attempts to search a data structure for a particular item, it uses an algorithm. An algorithm is a process, defined in code, for carrying out a specific task.

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, ...

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.

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 ...

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 ...

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, ...