From 0 to 1 Data Structures & Algorithms in Java - Design A Course Schedule Considering Pre-reqs For Courses

What is the primary objective of applying graph algorithms in the context of the video?

• To design a schedule for a student to complete her degree

• To determine the maximum flow in a network

• To find the shortest path between two nodes

• To calculate the minimal spanning tree

How are courses and prerequisites represented in the graph model?

• Courses as nodes and prerequisites as undirected edges

• Courses as weights and prerequisites as paths

• Courses as vertices and prerequisites as directed edges

• Courses as edges and prerequisites as vertices

What does a directed edge from one course to another signify in the graph?

• The first course is optional for the second course

• The courses are independent of each other

• The first course is a prerequisite for the second course

• The second course is a prerequisite for the first course

Which algorithm is used to determine a valid order of courses?

• Dijkstra's Algorithm

• Kruskal's Algorithm

• Topological Sort

• Prim's Algorithm

What is the purpose of calculating the in-degrees of vertices in the graph?

• To calculate the total number of courses

• To determine the course with the most prerequisites

• To identify potential starting courses

• To find the shortest path

Why are the edges in the course graph unweighted?

• Because weights are not needed for determining order

• Because weights represent the difficulty of courses

• Because weights indicate the number of students

• Because weights are used for calculating shortest paths

What does an in-degree of zero signify for a course in the graph?

• The course is optional

• The course is the most difficult

• The course has no prerequisites

• The course is a prerequisite for all other courses

What is the significance of having multiple topological sorts for a graph?

• It indicates multiple shortest paths

• It shows different valid course schedules

• It represents different levels of course difficulty

• It highlights courses with the most prerequisites

What is the role of the 'Course ID map' in the implementation?

• It maps course names to their prerequisites

• It maps course names to their difficulty level

• It maps course names to unique integer identifiers

• It maps course names to their completion status

What is the final step after obtaining the topological sort of the graph?

• Calculate the shortest path between courses

• Determine the course with the highest in-degree

• Convert the integer identifiers back to course names

• Find the minimal spanning tree of the graph