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 Foundations of Data Structures and Algorithms specialization includes two optional preparation courses and a three-course pathway to earn admission to the Online MS in Computer Science. You must ...

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 ...

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 ...

If you are a beginning programmer, you should first read a book such as The C Programming Language by Kernighan and Ritchie. If you are new to data structures and algorithms, this is an excellent book ...

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 ...

1 Design, select and implement key data structures in C++. 2 Implement algorithms using these data structures to solve practical problem scenarios. 3 Analyze, compare and classify algorithms. 4 Using ...

AI is thought to be only data-driven these days. Let's take a balanced look at AI over time and consider algorithms and process.

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