Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems.
This course is part of the Fundamentals of Computing Specialization
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About this Course
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- Graph Theory
- Algorithms
- Python Programming
- Graph Algorithms
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Syllabus - What you will learn from this course
Module 1 - Core Materials
Modules 1 - Project and Application
Module 2 - Core Materials
Module 2 - Project and Application
Reviews
- 5 stars77.80%
- 4 stars14.88%
- 3 stars3.08%
- 2 stars1.40%
- 1 star2.80%
TOP REVIEWS FROM ALGORITHMIC THINKING (PART 1)
The course content is well structured and the instructors' explanation is clear and concise!
The project-based course structure works really well for the material. This was a great course!
A great course with wonderful explanations from the tutors. Looking forward to do more courses with this team
A step up in difficulty from the previous modules in this specialisation.
About the Fundamentals of Computing Specialization

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