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Вернуться к Строковые алгоритмы

Отзывы учащихся о курсе Строковые алгоритмы от партнера Калифорнийский университет в Сан-Диего

4.5
Оценки: 654
Рецензии: 120

О курсе

World and internet is full of textual information. We search for information using textual queries, we read websites, books, e-mails. All those are strings from the point of view of computer science. To make sense of all that information and make search efficient, search engines use many string algorithms. Moreover, the emerging field of personalized medicine uses many search algorithms to find disease-causing mutations in the human genome. Do you have technical problems? Write to us: coursera@hse.ru...

Лучшие рецензии

CS

Jul 08, 2019

Very good course. String algorithms are very important in day today life and one should really know how to solve command problems related to it. This course have described everything so well.

NR

Oct 19, 2019

Very well put together course. Challenging but understandable. I highly recommend you stick out. If you get stuck check the forums there's lots of helpful things there. Time well spent!

Фильтр по:

76–100 из 116 отзывов о курсе Строковые алгоритмы

автор: Padmakumar N

Aug 05, 2017

Very Good

автор: Roman E

Jan 29, 2017

Some tasks was hard to understand and solve, but it in general it was good.

автор: Ajit C B

Oct 21, 2017

Its a very good course overall. Just felt that towards the end the material got too much to digest, might be a good idea to split the contents of weeks 3 and 4 into 3 or 4 weeks.

автор: Vlad

Jul 31, 2017

Very good, although the material in last week is way harder and rushed than the rest.

автор: Aakarsh N

Jun 06, 2017

Unfortunately the forums go inactive after the first few iterations of the course. One can still learn by doing the programming assignments

автор: Saurab D

Apr 15, 2018

Some of the algorithms are too hard to implement but worth the effort.

автор: Emalayan

Jan 25, 2017

The course contents we useful and easy to learn for the most part. The assignments and spot quizzes helped a lot to understand the string algorithms. I appreciate all the effort the instructors put to create the course materials.

Few things to improve:

1) Some of videos in week3 and 4 were hard to understand due to English speaking skills. I found a lot of grammar mistakes in the subtitles and the interactive transcripts.

2) Please consider adding more contents like Boyer Moore algorithm, regular expression and etc.

автор: Andronik

Aug 19, 2016

Nice introduction into string algorithms, even though Ukkonen's algorithm is missing and slides sometimes contain buggy pseudocode.

автор: Snehasish S

Jan 25, 2017

Initially the accent was a little bit hard to understand, but after few minutes everything become crystal clear. Extremely useful course content.

автор: Teguh S

Nov 29, 2016

I have only one feedback: the relation between subsequent weeks are not clear. It feels like I am learning one technique in week 3, and then another in week 4, but why is the technique in week 4 necessary? What are the differences in terms of functionality, between the various techniques? I think these points are not explained quite clearly.

Great course though, thank you very much!

автор: kishore k b

Sep 03, 2016

Course Content is good. Instructors are not that much active to give answers for the raised questions compared to earlier courses.

автор: Chen L

Dec 02, 2017

The programming assignment should be more clean with detailed instruction in each code file.

автор: Xi Y

Sep 09, 2016

Still stuck at Problem 5 of Week 1, had to left this problem undone.

Wondering if the mentors or professors can send those who completed the course the standard/reference solution/program via Email???

автор: Miguel A M H

Aug 14, 2016

The lectures are a little bit confused

автор: Ganesan P

Jun 13, 2018

i enjoyed the course. The course lecture for week 3 and week 4 can do better with presentations. One looses focus very quickly when the instructor keeps speaking, but the material itself is not hard. I had refer to outside material to understand the lecture and had to spend time. I would recommend Ben Langmeade lectures for to get grip on BWT and excellent lecture on KMP and Maben Meyers algorithm intro by Robert Sedgwick.

автор: Guillaume

Dec 15, 2016

Very focused on bioinformatics problems.

автор: Abhishek R

Jun 12, 2018

It's a very thought provoking course. I am into job for last 16 years and after getting into leadership role, hardly got into solving problems personally. This refreshed my passion and I connected well. I could not spend as much time as needed but overall I enjoyed the learning and the problem assignment. Worth trying!!

автор: Hidetake T

Jun 11, 2019

necessary experience

автор: Karthik R

Oct 26, 2019

The lectures are excellent. However, with reference to the logistics, it would really make sense provide test cases that are run. At least, the test cases should be made available once the student completes the assignment. By looking at the test cases, students can understand better with reference to developing better test cases in the future.

автор: YANGXIAOKANG L

Nov 08, 2019

The explanation is very clear

автор: Saruar M

Oct 22, 2019

Great course with great content.

However the video explanations could be better. It is hard to truly understand the concept through the videos. I just watched the videos to serve as a "roadmap" and to really understand the topics you'd have to read the chapters from the books listed in their reading section.

Still a good course overall and homework assignments are great.

автор: Fabrice L

Feb 14, 2018

This module is a little less interesting than the other ones. Also the explanations are a bit more messy and not as thorough.

автор: Jenna W

Jun 20, 2017

Continuing a steep curve, but I feel some of the assignments and psuedo-code are not as well explained in these lectures as in earlier ones.

автор: Lingjian K

Feb 20, 2017

Good contents, but lectures could be improved for clarity.

автор: David F

Mar 30, 2017

My least favorite course in the specialization. The lectures are harder to follow, and are actually all about bioinformatics algorithms, which wasn't clear from the course description. Thankfully, as with the graphs course, Michael Levin wades in to save the day for the last couple of weeks. His lectures are really well structured, intuitive and clear.