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Learner Reviews & Feedback for Algorithms, Part I by Princeton University

4.9
stars
11,185 ratings

About the Course

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Algorithms, Fourth Edition (upon which the course is based) or visit the website algs4.cs.princeton.edu for a wealth of additional material. This course does not offer a certificate upon completion....

Top reviews

RM

May 31, 2017

This is a great class. I learned / re-learned a ton. The assignments were challenge and left a definite feel of accomplishment. The programming environment and automated grading system were excellent.

RP

Jun 10, 2017

Incredible learning experience. Every programmer in industry should take this course if only to dispel the idea that with the advent of cloud computing exponential algorithms can still ruin your day!

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2176 - 2200 of 2,233 Reviews for Algorithms, Part I

By Dr. M S

Nov 21, 2023

Good

By Malneedi S

Oct 10, 2023

nice

By Soaib A

Mar 31, 2023

good

By Nanda K J

Sep 9, 2022

good

By 2019lx

Apr 25, 2022

Mark

By Gowtham S

Feb 24, 2022

----

By Cherukupalli H V R

Jan 25, 2022

goos

By Sanjeev N

Jan 2, 2022

good

By KINTHALI P

Oct 27, 2021

Good

By Chandrashekhar B

Apr 23, 2021

nice

By Shubham k

Nov 2, 2020

good

By Ram s

Aug 9, 2020

nice

By siddani s k

Jun 5, 2020

good

By SIVARAM S 1

May 21, 2020

Good

By Nicklaos G

Nov 7, 2017

nice

By Prog J

Jul 23, 2017

cool

By 郑宇

Feb 13, 2017

nice

By Manjeet a

Nov 25, 2023

nyc

By Zeba F

Oct 30, 2021

hyy

By 郑明君

Jun 29, 2017

还好了

By Monica S M G

Jan 14, 2022

no

By anusha m

Jun 6, 2020

..

By Bhavagna C

Mar 26, 2023

v

By Yashwanth R

Feb 19, 2023

.

By HA

May 5, 2023

The course provides a broad overview of essential data structures and algorithms in an easily comprehensible manner and without delving too much into mathematical proofs. However, despite the good lectures and an elegant, concisely-written accompanying Java library that implements almost all the demonstrated algorithms in the course, learners would benefit much more if the programming assignments are easier, or the assignments are provided with more guidance. This is because these assignments seem specifically designed for university students and not Coursera learners, and indeed in the official course taught at Princeton, some of the same assignments even require working with a partner. Furthermore, the course seems to take a passive approach in developing learners' understanding of its algorithms by providing the written code (again, very concise and easy to understand) and learners peek behind the code instead of implementing it themselves; this may work well for an introductory course, but does not solidify some tricky concepts as well as requiring students for implementations based on the lectures and slides.