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)
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Algorithmic Thinking (Part 1)
This course is part of Fundamentals of Computing Specialization
Instructors: Luay Nakhleh
56,047 already enrolled
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4.6
(376 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 12 hours
Learn at your own pace
92%
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Shareable certificate
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Assessments
2 assignments
Taught in English
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This course is part of the Fundamentals of Computing Specialization
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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
Offered by
Recommended if you're interested in Software Development
University of Pennsylvania
University of Washington
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Learner reviews
4.6
376 reviews
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Showing 3 of 376
RK
5
Reviewed on Aug 18, 2017
The project-based course structure works really well for the material. This was a great course!
RQ
4
Reviewed on May 29, 2016
The content is great. I enjoyed learning about graph theory. The new platform is pretty frustrating, though. The discussion boards are not as vibrant as they were before the paywall.
OT
5
Reviewed on Sep 28, 2018
very educational. I've learnt not only about graph theory but also how to use matplotlib and timeit libraries. The assignments were quite challengeable but rewarding.
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