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, ...

Now we’ll use this algorithm to sort a singly linked list. Example #3: Insertion Sort for singly linked lists Insertion Sort orders a singly linked list of n data items into ascending or ...

Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that the student has already taken an ...

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 ...

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 ...

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, ...