The data structures and algorithms you use critically affect two factors in your applications: Memory usage (for data structures). CPU time (for algorithms that interact with those data structures).

Data structures offer different ways to store data items, while the algorithms provide techniques for managing this data. Application Data Computing applications use many different types of data.

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.

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, ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

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

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.

CSCA 5454: Advanced Data Structures, RSA and Quantum Algorithms Note that you do NOT need to complete all five courses within this specialization to earn admission to the Online MS-CS degree. However, ...