Search⌘ K
AI Features
Home
Courses
Grokking the Coding Interview Patterns in Python

Solution: Parallel Courses

Explore how to model course scheduling with prerequisites as a graph and use topological sort and depth-first search (DFS) to find the minimum number of semesters required. Understand cycle detection to handle impossible schedules and apply memoization for efficient computation.

We'll cover the following...

Statement

You are designing a course schedule for a university with n courses, labeled from 1 to n. The prerequisite requirements are given in an array, relations, where each relations[i]=[prevCoursei,nextCoursei]\text{relations}[i] = [\text{prevCourse}_i, \text{nextCourse}_i] means that prevCoursei\text{prevCourse}_i must be completed before you can enroll in nextCoursei\text{nextCourse}_i ...