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学生对 University of California San Diego 提供的 Advanced Algorithms and Complexity 的评价和反馈

4.6
701 个评分

课程概述

In previous courses of our online specialization you've learned the basic algorithms, and now you are ready to step into the area of more complex problems and algorithms to solve them. Advanced algorithms build upon basic ones and use new ideas. We will start with networks flows which are used in more typical applications such as optimal matchings, finding disjoint paths and flight scheduling as well as more surprising ones like image segmentation in computer vision. We then proceed to linear programming with applications in optimizing budget allocation, portfolio optimization, finding the cheapest diet satisfying all requirements and many others. Next we discuss inherently hard problems for which no exact good solutions are known (and not likely to be found) and how to solve them in practice. We finish with a soft introduction to streaming algorithms that are heavily used in Big Data processing. Such algorithms are usually designed to be able to process huge datasets without being able even to store a dataset....

热门审阅

CS

Aug 25, 2019

Very Very Challenging Course , it test your patience and rewards is extremely satisfying. Lot of learning on a complicated subject of NP-Hard problems.

QV

Sep 14, 2019

I am not good in this course. But I'm always try the best! Awesome course, thank you so much!

筛选依据:

26 - Advanced Algorithms and Complexity 的 50 个评论(共 131 个)

创建者 felipe a

Jun 27, 2021

Great course, quite difficult, requires a lot of research on your own to pass the assignments.

创建者 Surbhi M

Dec 14, 2019

This course is wonderful.I am really feel like I have all knowledge of adsa

创建者 Addis R S

Sep 26, 2016

Thank you very much. I learned a lot in this course. I recommend it!

创建者 Priyansh B

May 31, 2019

Was fun learning advanced stuff and implementing algorithms.

创建者 Tamilarasu S

Apr 10, 2018

Very well made course with challenging algorithm problems.

创建者 Pablo E M M

May 19, 2018

Great Courses!. Thanks for this wonderful specialization!

创建者 Joseph G N

Sep 2, 2018

An incredible course,the exercises were very interesting

创建者 Romeo S

Dec 31, 2023

It is an excellent course that is very challenging.

创建者 Ahsanul A S

Dec 24, 2020

Great course! Thanks to our respected instructors.

创建者 Mohamed G

Aug 12, 2022

Amazing and very interesting problem sets

创建者 A.Bashar E

Jan 10, 2018

This is how algorithms should be taught.

创建者 蔡柏惟

Jul 1, 2023

非常精彩,與資料結構還有演算法概論結合,作業相當困難但有趣

创建者 Kandi N N 1

Apr 23, 2021

it is a good course

创建者 Patel S R

Feb 3, 2021

thank you so much

创建者 FAN F

Jan 28, 2023

Thank you!

创建者 Xueqi W

Jan 26, 2023

Thank you!

创建者 陆瀚哲

Sep 12, 2021

very good!

创建者 Javlonbek R

Oct 3, 2024

best

创建者 Zahraa S

Mar 24, 2021

cool

创建者 Gokulnath G

Mar 21, 2024

DFD

创建者 SYED J H

Oct 11, 2020

4 star only for Alexander Kulikov who was really great in his lectures. Though I gave 5 stars on the previous 4 courses of this specialization, I couldn't do this for this course. For me, to follow the first 2 weeks was a nightmare. During the whole specialization, I would like to thank Alexander Kulikov and Michael Levin. Other instructors' teaching style was not comfortable for me.

创建者 Albert L

Jan 28, 2023

I wish the lectures can have more details and examples. They are hard to follow and I have to replay them several times (and sometimes read up on more details from internet) to get a better understanding.

创建者 Mykhailo M

Sep 29, 2020

The first two weeks have unclear lectures and pseudocode. The simplex task was the most complex in this specialization. The 3rd and 4th weeks have interesting and good lectures.

创建者 Bohdan S

Mar 4, 2021

Although the 3rd and 4th weeks are good enough and Mr. Alexander S. Kulikov did a great job there, I'd rather give this course a thumb down just because of the first two weeks that were so poorly organized and absolutely rubbish last week on Heavy Hitters problem.

创建者 Henry R

Jul 20, 2018

Very hard to follow the lectures, completly lost without Reference books such as Introduction to Algorithms.