Search⌘ K
AI Features

Solution: Course Schedule II

Explore how to solve Course Schedule II by applying topological sort using graph traversal techniques. Understand building the course dependency graph, finding sources, and ordering courses effectively. Learn to detect cycles and implement a BFS-based solution to get a valid course completion order.

Statement

You are given n courses, labeled from 0 to n - 1. Some courses have prerequisites, which are provided as a list of pairs: prerequisites[i] =[a,b]= [a, b]. To take course aa, you must first complete course bb.

Your task is to determine a valid order in which you can complete all the courses and return it as an array of course labels.

  • If there are multiple valid orderings, you can return any of them.

  • If it’s impossible to finish all courses (due to a cycle in prerequisites), return an empty array.

Note: There can be a course in the 00 to n1n−1 range with no prerequisites.

Constraints:

Let nn be the number of courses.

  • 1n15001 \leq n \leq 1500
  • 00 \leq
...