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 ...

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, ...

22:544:643 Information Security 22:544:603 Business Data Management 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining) 22:544:613 Introduction to Data Structures and Algorithms ...

For example, if a program is using a data structure such as a list, but this data structure only allows new items to be added at one end, the resulting store will comprise data that is not ordered.

One fact about machine learning and data algorithms that may surprise business users is that there aren’t actually that many of them. This topic can get overwhelming for busy professionals. But ...

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 ...

Example #1: Create, insert, and delete in a singly linked list I’ve created a Java application named SLLDemo that demonstrates how to create, insert, and delete nodes in a singly linked list.

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. Examples include ...

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.