Process Map Data using C++ Adjacency List Shortest Path
In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns loaded from a file. The shortest path problem is well known in the field of computer science. An adjacency list is probably the best data structure to represent a set of connected vertices to find the shortest path from one vertex to another. One application for shortest paths is in computer networking routing.
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- Level Intermediate
- Duration 2 hours
- Course by Coursera Project Network
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In this project you will use the adjacency list data structure and other data structures to find the shortest distance between a set of towns loaded from a file. The shortest path problem is well known in the field of computer science. An adjacency list is probably the best data structure to represent a set of connected vertices to find the shortest path from one vertex to another. One application for shortest paths is in computer networking routing. Another common application for its use is on a Map, where it is useful to find the shortest distance from one town to another. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.Modules
Process Map Data using C++ Adjacency List Shortest Path
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- Graded Quiz: Test your Project understanding
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- Process Map Data using C++ Adjacency List Shortest Path
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Explore the fascinating domain of IT & Computer Science with the engaging course "Process Map Data using C++ Adjacency List Shortest Path." Led by the expert instructors at Coursera, this intermediate-level course delves deep into the shortest path problem, a fundamental concept in computer science. Learners will gain hands-on experience with the adjacency list data structure and other crucial tools to find the shortest distance between towns loaded from a file. This knowledge has practical applications in various areas, such as computer networking routing and mapping, where determining the shortest route is essential. The course spans approximately 120 hours, offering a comprehensive learning journey at no cost through Coursera's free subscription option. While the course is optimized for learners in North America, efforts are underway to extend this enriching experience to other regions. Ideal for those with some background in C++ and eager to enhance their data structure skills, this course promises to equip participants with the expertise needed to tackle real-world shortest path problems effectively. Join now and embark on a path to mastering adjacency lists and shortest path algorithms!
David Dalsveen