Overview
If you have ever used a navigation service to find optimal route and estimate time to destination, you've used algorithms on graphs. Graphs arise in various real-world situations as there are road networks, computer networks and, most recently, social networks!
If you're looking for the fastest time to get to work, cheapest way to connect a set of computers into a network or efficient algorithm to automatically find communities and opinion leaders in Facebook, you're going to work with graphs and algorithms on graphs.
Key Facts
During this Algorithms on Graphs course offered by Coursera in partnership with UC San Diego, you will learnuseful things while traversing the graph in some order. You will discuss about shortest paths algorithms — from the basic ones to those which open door for 1000000 times faster algorithms used in Google Maps and other navigational services.
You will use these algorithms if you choose to work on our Fast Shortest Routes industrial capstone project. You will finish with minimum spanning trees which are used to plan road, telephone and computer networks and also find applications in clustering and approximate algorithms.
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Skills you'll gain
- Algorithms
- Data Structures
- Graph Theory
- Theoretical Computer Science
- Computer Programming
Programme Structure
Courses included:
- Representing Graphs
- Previsit and Postvisit Orderings
- Topological Sort
- Computing Strongly Connected Components
- Paths and Distances
- Implementation and Analysis
Key information
Duration
- Part-time
- 2 months
- 9 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences View 416 other Short Courses in Computer Sciences in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate level
- Some related experience required
- This course is aimed at learners interested in computer science who want to develop skills in graph algorithms to solve real‑world problems such as network optimization, routing, and data analysis.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription