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Analysis of Algorithms

This course teaches a calculus that enables precise quantitative predictions of large combinatorial structures. In addition, this course covers generating functions and real asymptotics and then introduces the symbolic method in the context of applications in the analysis of algorithms and basic structures such as permutations, trees, strings, words, and mappings. All the features of this course are available for free. It does not offer a certificate upon completion.
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Rating 4.1 based on 24 ratings
Length 10 weeks
Starts Jul 10 (41 weeks ago)
Cost $49
From Princeton University via Coursera
Instructor Robert Sedgewick
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms

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What people are saying

endless efforts for disseminating

This course offers an extensive coverage of mathematical material like tools and techniques, putting special emphasis on simple principles and never losing its focus on the general perspective of the topic.Developing insight on analytic functions together with combinatorics and the practical applications of theory into code gives a significant advantage over using naive approaches.A special appreciation to Prof. Sedgewick's endless efforts for disseminating mathematical knowledge among programmers, over this platform and even outside!Thank you very much.

never losing its focus

offers an extensive coverage

theory into code gives

advantage over using naive

analytic functions together with

already done some

This is great course if you already done some algorithms courses and want to go deeper.

knowledge among programmers

cover less

Cover less material, but explain it better.

it can

It can be a good extra material following through a class, or attending the same lectures.

prof. sedgewick

wonderful insights

Wonderful insights about the study of the algorithm's complexity and combinatoric logic.

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Rating 4.1 based on 24 ratings
Length 10 weeks
Starts Jul 10 (41 weeks ago)
Cost $49
From Princeton University via Coursera
Instructor Robert Sedgewick
Download Videos On all desktop and mobile devices
Language English
Subjects Programming
Tags Computer Science Algorithms

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