• Online, Self-Paced
Course Description

To effectively work with graphs in your daily software engineering operations, you need to expand your knowledge beyond a basic familiarity. To do this, you need to identify which algorithms are used for which tasks and how to implement these algorithms using the Java programming language.

In this course, you'll identify how graph nodes can be sorted using the topological sort algorithm, which has many real-life applications, such as course scheduling, as well as modeling tasks and dependencies. Next, you'll explore shortest path algorithms, which are used in mapping applications.

You'll move on to identify and implement the shortest path in an unweighted graph. Finally, you'll implement Dijkstra's algorithm to find the shortest path in a weighted graph.

Learning Objectives

{"discover the key concepts covered in this course"}

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Software Development
  • Systems Architecture