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, ...

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 ...

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 ...

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.

It includes artificial intelligence, data structures, programming languages, algorithms, and more. It investigates the development of hardware and software systems, analysing and resolving ...

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.

GATE Syllabus for CSE 2025: ... Programming and Data Structures, Algorithms, Theory of Computation, Compiler Design, Operating Systems, Databases, Computer Networks. ...

If you want to excel in this exam you need to go through the complete GATE CSE 2025 syllabus before making a ... Programming and Data Structures, Algorithms, Theory of Computation, Compiler ...