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.



Algorithmic Thinking (Part 1)
This course is part of Fundamentals of Computing Specialization



Instructors: Luay Nakhleh
Access provided by New York State Department of Labor
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There are 4 modules in this course
What is Algorithmic Thinking?, class structure, graphs, brute-force algorithms
What's included
15 videos2 readings1 assignment
Graph representations, plotting, analysis of citation graphs
What's included
3 readings1 peer review2 app items
Asymptotic analysis, "big O" notation, pseudocode, breadth-first search
What's included
9 videos1 assignment
Connected components, graph resilience, and analysis of computer networks
What's included
3 readings1 peer review1 app item
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Reviewed on May 13, 2018
very thoughtful course!not easy by any means, but for sure learned a lot from the hard experience.
Reviewed on Mar 5, 2018
Another fantastic course from the team at Rice - thank you!
Reviewed on Jul 26, 2018
Course and assignments were very well thought out and informative.
Recommended if you're interested in Computer Science

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