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 data structures and algorithms you use critically affect two factors in your applications: ... Why AI projects fail, and how developers can help them succeed. By Matt Asay. Jun 23, 2025 8 mins.

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, ...

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 ...

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 ...

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

COMP_SCI 214: Data Structures and Algorithms VIEW ALL COURSE TIMES AND SESSIONS Prerequisites COMP_SCI 111 and (COMP_SCI 150 or 211). Prerequisites are strict. Stat 201 is *not* a substitute for ...

Artificial intelligence can be a beautiful thing for business, with a lot of promise. But this promise has yet to deliver tangible results. Many AI projects fail in various stages of ...