Definition of a Data Structure & Algorithms. Data structures and algorithms are vital elements in many computing applications. When programmers design and build applications, they need to model ...

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 ...

Basic data structures: Heaps, and Binary Search Trees. Algorithm Design Approaches: Divide and Conquer including analysis using recurrences; Greedy Algorithms; Dynamic Programming Algorithms; ...

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 ...

Get an overview of data structures and algorithms ... Flowcharts belong to the structured programming ... It’s important to take care when defining an algorithm’s steps, so that the definition ...

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

Covers algorithms and their performance analysis, data structures, abstraction, and encapsulation. Introduces stacks, queues ... algorithm encapsulation using classes and templates, and how and when ...

Basic toolkit for the design and analysis of algorithms: Running time, Recurrence relations, Big-O notation, Correctness, Finite induction, Loop invariants. Tour of the most important data structures, ...

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...