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Avis et commentaires pour l'étudiant pour Algorithmic Toolbox par Université de Californie à San Diego

5,359 notes
1,124 avis

À propos du cours

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. We will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second). Do you have technical problems? Write to us:

Meilleurs avis


Jan 20, 2017

I liked the fact that the algorithms are not just the introductory searching and sorting algorithms. The assignments are fairly difficult (I have decent scripting experience), but not impossibly so.


Mar 06, 2018

Cool course. Thank you! One suggestion about your book (Learning Algorithms Through Programming and Puzzle Solving): could you add some theory which would serve as a brief reminder before problems?

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251 - 275 sur 1,053 Examens pour Algorithmic Toolbox

par Jorge M

Jan 13, 2018



Aug 16, 2017

Really great course for an introduction to greedy, divide-and-conquer and dynamic programming techniques. Programming assignments are challenging for beginners but are really helpful for mastering the concept and materials. Referenced materials are useful to understand the concepts when listening to lectures is not enough.

par Khalid M A

Jul 24, 2016

The ideas I learned about the classical algorithms and their run-times are really useful and interesting. The problems are also very good.

par Jakub T

Oct 24, 2017

A very useful piece of knowledge for software developers, especially after they get a bit of practice and need to refine their knowledge.

par Karun

May 09, 2016

Great course to understand different categories of Algorithms and which one to apply to solve a problem

par Shaival

Sep 21, 2016

Awesome explanation, very concise.

par Матвей С

Jan 03, 2017

Tasks are amazing. But sometimes had to google some extra help.

par Atulya S S

May 21, 2017

I like the set of assignments in the course. Well organized and well explained

par Jan K

Mar 01, 2017

The best course I have done on Coursera. The authors have put together a great set of lectures and especially programming assignments, which really force you to think about what you are doing rather than go by trial and error. What's more, you can submit these in about a dozen commonly used programming languages so you can practise the language of your choice while learning about algorithms. Highly recommended!

par Filippov S

Jan 28, 2017

Great and challenging course.

par Victor F

Jun 08, 2016

Extremely useful course, that will improve your understanding of the core algorithmic techniques.

par Aarshay J

May 23, 2016

Another one of Coursera's trademark course. Really awesome for beginners in Algorithms.

par Hao-en S

Jan 19, 2017

Nice materials and challenging problems!

par Francisco A A M

May 11, 2018

College quality course. Maybe even better.

par Mehul R

Feb 29, 2016

very nice

par Madan K

Aug 09, 2016

AWESOME course ,A must for any programmer.

par Spiridonov A

Oct 08, 2016

I was great! A lot of useful and interesting tasks to improve your skills.

par Sudhindra M

Mar 23, 2018

cool one

par Zhehui Z

Jun 07, 2016

Very clear introduction to algorithm basics. Reasonable quizzes and assignments.

par Noah P

Mar 01, 2016

Excellent course with tons of exercises and interesting lectures.

par Ram P

Apr 07, 2016

This is awesome and problems are challenging which pushes me towards my goal.

par Aditya S

Aug 08, 2017

Very well structured. Sure to help learners!

par Ashish K

Feb 06, 2017

The course is a great first course on algorithmic toolbox. I love the way the toolbox serves as a precursor to the more involved courses. In particular, the topic of stress testing is something that MOOCs don't cover in general and lead me to give up in my earlier MOOCs.

All in all, great job professors Sascha, Daniel, Neil, Michael and Pavel.

You guys are awesome.

par Arjun A S

Apr 25, 2016

Gives you very good insight into Algorithms basics that gets you going great with advanced courses.

par Virginia R A

Jul 29, 2016