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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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
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
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Showing 3 of 216
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.
DB
4
Reviewed on Oct 15, 2023
It is painful to take couple of days to wait for someone \\review applications so that I can move on to next chapter!
KL
5
Reviewed on Nov 16, 2016
This is a challenging course that teaches an invaluable problem solving approach, applicable in many domains.
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