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.
Algorithmic Thinking (Part 2)
Algorithmic Thinking (Part 2)
This course is part of Fundamentals of Computing Specialization
Instructors: Luay Nakhleh
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4.7
(216 reviews)
Intermediate level
Some related experience required
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
Skills you'll gain
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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
Sorting, searching, big-O notation, the Master Theorem
What's included
13 videos2 readings1 assignment
Closest pairs of points, clustering of points, comparison of clustering algorithms
What's included
4 readings1 peer review2 app items
Dynamic programming, running time of DP algorithms, local and global sequence alignment
What's included
7 videos1 assignment
Computation of sequence alignments, applications to genomics and text comparison
What's included
1 video3 readings1 peer review1 app item
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4.7
216 reviews
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Showing 3 of 216
RL
5
Reviewed on Mar 24, 2018
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.
VK
5
Reviewed on Jul 25, 2018
Course and assignments were very well thought out and informative.
JO
5
Reviewed on Apr 28, 2018
Excellent class in the series. Even if computational biology is not your thing, the assignments are really interesting, fun and informative.
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