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 class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.
This course is part of the Fundamentals of Computing Specialization
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About this Course
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Try Coursera for BusinessSkills you will gain
- Algorithms
- Python Programming
- Algorithmic Efficiency
- Dynamic Programming
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Syllabus - What you will learn from this course
Module 3 - Core Materials
Module 3 - Project and Application
Module 4 - Core Materials
Module 4 - Project and Application
Reviews
- 5 stars81.15%
- 4 stars10.62%
- 3 stars4.34%
- 2 stars2.41%
- 1 star1.44%
TOP REVIEWS FROM ALGORITHMIC THINKING (PART 2)
Super good, challenging course that forces you to think.
Great class...Luay's lectures and problem sets were a great continuation to what Joe and Scott started. I suppose I will get started on Course 7 shortly.
Another fantastic course from the team at Rice - thanks guys!
This is a challenging course that teaches an invaluable problem solving approach, applicable in many domains.
About the Fundamentals of Computing Specialization

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