Chevron Left
Retour à Algorithmic Toolbox

Avis et commentaires pour d'étudiants pour Algorithmic Toolbox par Université de Californie à San Diego

4.6
étoiles
7,807 évaluations
1,635 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)....

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.

Filtrer par :

151 - 175 sur 1,561 Avis pour Algorithmic Toolbox

par TIANYI X

Jun 17, 2018

taking this one right now and almost give up. I got no support from the faculty or mentor, questions on the forum are rarely answered. If you get stuck in the problem you are pretty much wasting your time. I am not saying you should look at the answer right away, but if you have no clue what to do, answer should be provided to help. BUT THERE IS NOTHING THERE.

par Andrea L

Sep 01, 2017

Very unsatisfied. At the end, I feel I learnt nothing.

1 - Explanations not always clear

2 - Too many exercises in the assignments

3 - Some exercise was not very useful and takes much time to understand what they want exactly.

4 - Price is too high per month for this course.

par Magnus P

Mar 05, 2017

I don't recommend this course. The lectures barely touch on the topics being taught, you are expected to go learn on your own. I learned more from the free Khan academy than from this course. It would have been worth more buying good literature on algorithms.

par Pedineedi N s

Aug 31, 2018

i'm unable to understand why my code is getting an error in your compiler. Because I had checked my code in various online compilers also, It is rediculous and I totally lost my patience since i was trying from past 10 days.

par Rohan G

Apr 22, 2018

The course is OK. But there is no mentor to answer the question in the discussion forum. So in case of any doubt no one is there to help.

par Yifei P

Nov 25, 2017

Too bad. I do not know how to run the program on my Mac. The professors' voice also made me annoyed.

par Sandeep M

Nov 09, 2019

lack of proper explanation and no beginner friendly content.

par Payam K

Jul 18, 2019

The instructors are terrible at teaching.

par Murali M K D

Jun 13, 2020

Well structured in terms of the flow. Covered all the design principles and paradigms. Best thing is that the assignments cover lot of standard algorithm questions and have perfect blend of already covered algorithms and uncovered ones. I can already see most of them relevant to my field of Data Science. I think the unique thing about this course and specialization is that most of the courses cover Data Structures first and wind up discussing more about LL, Stacks, Queues etc, and neglect the problem solving aspects. However, this specialization takes a reverse turn where they explain the standard Algorithms first and then later introduce DS as a means to solve advance problems. Going on to my next course in specialization. Thank you UCSD, NRU and Coursera :)

par Sanjana B

May 30, 2020

This was a very good course. I learned a lot of algorithmic problems. I liked it that they don't force you to complete all the assignments. You can complete the course by solving the problems within your reach and pass the criteria. Also, the number of problems is perfect. Neither too less, nor a lot. I had fun solving the problems. Since, I used Python 3, I didn't get most of the errors that many other people encountered (stack overflow, integer overflow, using vectors etc.). I wish I could see the test cases after passing the assignment, so that I could know what tests were cleared by my submitted code.

par Sathvik G

Jun 22, 2020

The course has very well laid syllabus. Learnt a lot of important techniques, different types of approaches toward a problem, they don't have elaborate explanations to many problems which at first made me disappointed but that turned out to be the best part, you will not grasp some topics towards the end of course at first, the key is to keep digging through other resources on net and to not be discouraged. Wouldn't have learnt if everything were spoon fed. Thanks to all the professors. T'was great overall.

par Mukesh

May 06, 2020

This was a pretty amazingly planned course. It was like climbing stairs: at first, it was easy and then a little difficult and very difficult at last. Some problems took days just to solve them according to the time provided, and thankfully for some problems, hints were provided. I would suggest this to everyone, this is one of the best courses for Algorithms because of the organized material and skillful and helpful instructors.

par ftgo

Jun 02, 2020

This is the best online course I have already participated. Although challenging, it is well organized and is full of references, resources and iterative puzzles. It has a high level team of instructors, each one doing a great job to teach the best of computer science: algorithms. The forums are pretty rich and the moderators are highly active and supportive. I am very satisfied and motivated to keep learning from them.

par Андрей

May 26, 2020

This course is awesome! Good speakers, interesting lectures and a lot of tough challenges, applicable to real world problems. I found it very helpful. After completing this course you'll achieve an ultimate problem solving ability. Although it may be dificult for a total beginners. I would recommend it for those who aready has at least a little experience in programming. Also, basic knowlege of math is required.

par Mohammad U C

Apr 12, 2020

The course is very well taught by Daniel Kane,Alexander Kulikon, Michael Levin,Pavel Pevzner and Neil Rhodes. Through this course i am to optimize algorithm in a very efficient way and also able to calculate its run time and complexity, this course gives a clear understanding of the algorithms taught and the programming questions are also up to the point . Thank you very much

par DANAJITHA K K

May 23, 2020

Are you a person who thinks algorithms are not so interesting? Why don't you just try this course and try solving the problems in this course? You will definitely get a better interest in algorithms. This course has definitely been very useful for me. I whole heartily suggest you to take up this course, if you are really interested in coding or solving problems efficiently.

par Mayank S

Jun 12, 2020

Brilliant course, it has given good amount of knowledge to apply algorithms in real world programming. There is only one issue which is the test cases are hidden from user which results in random hit and trials to achieve the respective result. The grader should improve and show what is causing test case to fail rather than printing anonymous statements.

par Андрій Л

May 09, 2020

Decent course for those who want to improve their programming skills. If you want to enrol, keep in mind that applying without having some background experience dealing with such algorithms will result in you not being able to pass it properly. The authors and presenters of the course have done a great job. My thanks and appreciation to you all.

par Balavinayak R

Apr 13, 2020

Excellent course! The course gives a rigorous coverage of tools and methods like Greedy algorithms, divide & conquer and dynamic programming. The programming assignments seem to have been meticulously designed by the instructors and one will come out of the course as a much better programmer if he/she works on these problems diligently.

par Marcello M

Jun 11, 2020

I teach CS in High School. I have a degree in Maths, so I never had formal, deep teaching in Algorithms - did it all by myself. In this course I learned a lot of things that I did not know, and some I never imagined they existed! I intend to reause some materials with my pupils next year! Thank you very much.

par Muhammad Y

Mar 29, 2020

This Course contains challenging assignments to solve, that makes the concept is more clear to understand, but I do not like when instructors are explaining the algorithm on pseudo-code only, if there is virtualization for how the algorithm works, this will make the concept is easy to understand and apply.

par Prince S M

Jun 27, 2020

It was a really amazing experience of learning on coursera. I'll surely suggest my friends to learn from this platform.

I have learned various approaches to solve a programming problem such as greedy, divide and conquer, dynamic programming and their time and space complexity as well and stress testing.

par Aviral A

Jun 10, 2020

Very well structured course, with great assignments. The teaching staff if very helpful and active on the forums. Just one feedback, I would appreciate if at the end of each week there were links to some practice problems (on any platform or website) to further strengthen and develop the concepts.

par Drumil M

Nov 14, 2016

Instructors are perfect. The course is intense and not easy. But the way the concepts are taught is very lucid. One of the best courses on coursera. I am leading my way to the specialization. Again, the instructors are really great. The assignments are the best part of this course. Must take.

par Andrew T

Oct 27, 2017

I really like this course and I have learned many new and interesting things. I think a good improvement may be a little more examples of real life problems which can/should and should not be solved using provided algorithms/methodologies... I plan to continue specialization a little later.