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Retour à Algorithmes, Partie I

Avis et commentaires pour d'étudiants pour Algorithmes, Partie I par Université de Princeton

4.9
étoiles
8,168 évaluations
1,675 avis

À propos du cours

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. It does not offer a certificate upon completion....

Meilleurs avis

RM
31 mai 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.

BJ
2 juin 2018

Good contents and the logic of the whole course structure is very clear for a novice like me. The weekly homework is also awesome. Would recommend to anyone who wants to learn about computer science.

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1576 - 1600 sur 1,614 Avis pour Algorithmes, Partie I

par Harry H D

24 mars 2017

Very completely!

par Usha S S

5 juin 2020

Good and useful

par chenjunsong

12 sept. 2018

good to learn

par SamuelNittala

21 août 2018

Great Course.

par KRISHAN M K

4 mai 2020

Good course

par bhavana v

3 juin 2020

it is good

par MANEESH K

25 mai 2020

it is good

par 尤冠勛

4 juil. 2017

觀念清楚 作業有趣

par Karthik P R

4 août 2020

Very Nice

par v m

2 juin 2020

very good

par meng l

14 nov. 2019

goold...

par pranitha e

4 juin 2020

nothing

par ARETTI L S

15 oct. 2020

good!!

par Shubham k

2 nov. 2020

good

par Ram s

9 août 2020

nice

par siddani s k

5 juin 2020

good

par SIVARAM S 1

21 mai 2020

Good

par Nicklaos G

7 nov. 2017

nice

par Prog J

23 juil. 2017

cool

par 郑宇

13 févr. 2017

nice

par 郑明君

30 juin 2017

还好了

par anusha m

6 juin 2020

..

par Terng N

11 oct. 2016

Good course for a free one. Thank you for all of your great work. Somehow, the pace is too fast. Covering about 2 sections per week is by far too hard to read the book along with the class. There's no practice exercise to strengthen what you learn. The assignment is very hard and sometime don't directly implement the knowledge you learn in that week. Sometime the video sound is too quiet (but you can read the transcript when it happened.) The book is better in my opinion.

par LEE Y M

1 oct. 2019

As someone who works full time, this course assigns too much work for per week. In addition, instructions for assignments are not clear enough and the link between assignments and lecture content is often not pointed out clearly.

par Carlos P

25 sept. 2020

The topics are discussed in kind of a too broad and generic way. Some lectures are great others are a bit dry.