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

4.7
5,452 notes
1,139 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: coursera@hse.ru...

Meilleurs avis

SG

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.

MM

Sep 29, 2017

good course, I like the fact you can use a lot of languages for you programming exercises, the content is really helpful, I would like to have more indications from the grading system to save time.

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226 - 250 sur 1,069 Examens pour Algorithmic Toolbox

par Boris T

Jan 04, 2018

Great course with the thoroughly prepared exercices and detailed video explanations for each topic. Covers a wide range of fundamental alogorithmic technicues that are good to learn for everyone who wants to become a better software engeener or just to improve programming skills. The course passing grade is pretty soft. It is enough to attentively watch the video lectures and carefully implement algorithms covered there to pass the course, however some advanced problems are really challenging.

par Dmitriy M

Mar 07, 2016

I enjoyed the course a lot and would recommend it to anyone who's getting their feet wet in the world of algorithms.

par Miguel R

Aug 05, 2016

Very good homeworks.

par Phat Q H

Dec 11, 2016

Nice course with meticulous instructions

par Shauki V

Jun 26, 2016

Excellent quality, loved the quizzes and graded assignments, completely worth the time and money! Highly recommend!

par Seman B

Nov 24, 2017

Практические задания показались гораздо более сложными, по сравнению с тем, что объясняется в лекции.

par Mehdi B

Jun 17, 2017

Great class , thanks!

par Jeanderson B C

Aug 24, 2016

Loving the course so far! Best balance between theory and practice!

par Shobhit G

Jun 04, 2016

A well thought out course. Amazing teachers. Thorough assignments. Helped a lot.

par Fahri C D

Mar 31, 2016

Good coverage of the material, with several videos dedicated to individual topics, accompanied with complementing problem sets which have a decent selection of semi-optional advanced problems.

par Phat L

Apr 09, 2017

The lectures and exercises are awesome. I can not believe it I can solve hard problems by myself. Now I'm very confident to talk about algorithms. Thanks creators.

par Ravi T

Nov 03, 2016

I like the assignments provided in the course

par Roger T

Jun 09, 2016

Excellent coverage of algorithmic techniques in this course, with very accessible introductions to such fundamental topics as the Master Method, greedy algorithm design, and dynamic programming. This class hits the sweet spot for people who find Tim Roughgarden's Analysis and Design of Algorithms course too intense and hand-wavy, but who still want mathematically-sound, proof-based discussion of algorithmic techniques. (Listen to Roughgarden's drive-by treatment of Karatsuba's algorithm in his first week of lectures, and you will appreciate Neil Rhodes' coverage of the same algorithm all the more.) You get an introduction to a lot of "greatest hits" from Computer Science, but at a level where you come away understanding the technique. The problem sets start off with fairly easy exercises, just enough to reinforce your understanding, and progress up to exercises that will prove challenging indeed to newcomers. You will get a lot out of careful study of this course. I look forward to continuing in this specialization.

par Evgeny A

Oct 23, 2016

Great Course. A lot thanks to all instructors.

par Henry R

Jun 19, 2018

The programming assignments are great. They help you build strong algorithm design skill.

par tuming1990

Nov 08, 2017

Great materials and great assignments.

par Jack W

Jul 25, 2017

Really good comprehensive overview of fundamental algorithmic techniques. The programming assignments are challenging at times, but the forums are super helpful for discussions.

par Stefano I

Oct 10, 2017

It is nice how this course really guides you through different algorithmic ways to tackle problems. It is one of the few online courses that really forces you to spend time implementing and understanding algorithms. Highly recommended!

par Sergio M F

Jan 02, 2017

The core concepts are very well explained

par Ravichandran N

Oct 08, 2017

Very helpful

par Hemanth K B

Aug 04, 2016

I have solved more problems in this course compared to any other courses. This course has laid foundation to solve more problems in Dynamic Programming. Thank you to the entire team.

par Matthew

Oct 22, 2016

Awesome course. Cannot recommend it more highly

par Andrzej M

Oct 07, 2016

Well presented material. Good pace od lectures - short but fully understandable. Different instructors (you won't get bored ;)). Very good programming assigments.

par Olesch A D

Jun 10, 2018

The course instructors were very enthusiastic which definitely increased the excitement of learning. Assignments are challenging in the later weeks which is a huge plus point.

par Tristan B

Feb 25, 2016

If you want to learn more about both theoretical and practical computer science, do this specialization. I'm completely sold on this specialization after one week. The instructors are extremely helpful and have a high level of clarity both in the videos, and on the forums. The language semi-agnosticism is excellent! The forums are active and friendly! You will hit the ground learning right away with this specialization!

This course has so far motivated me immensely to delve further in to my software engineering education. I did not get a Bachelor's degree in Computer Science, just an Associate's. Though I work in the industry, I wanted to do programming competitions and personal projects to make up for the lack of experience with the ideas and implementation of algorithms and their data structures.

This course has jump-started my journey beyond my current abilities, and I believe it will do the same for you. If you're even remotely thinking you would be interested in taking these courses, do!