Technology & Programming
intermediate
Data Structures & Algorithms
A comprehensive course covering Data structures and algorithms. Topics include linked lists, stacks, queues, trees, graphs, sorting algorithms, searching algorithms, Big O notation, and algorithmic thinking. Designed for intermediate level learners.
14 hours
3 modules
12 lessons
1 enrolled
Dr
Dr. Ada Sterling
Professor of Computer Science & Software Engineering
Free
Full access to all course materials
Course Content
Foundations of Linked Lists
4 lessons
Linked Lists
23 min
Stacks
31 min
Queues
30 min
Applying Linked Lists
27 min
Understanding Sorting Algorithms
4 lessons
Trees
26 min
Graphs
32 min
Sorting Algorithms
28 min
Applying Trees
32 min
Working with Searching Algorithms
4 lessons
Searching Algorithms
27 min
Big O Notation
21 min
Algorithmic Thinking
31 min
Applying Searching Algorithms
20 min