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Kursteilnehmer-Bewertung und -Feedback für Datenstrukturen von University of California San Diego

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4,121 Bewertungen
690 Bewertungen

Über den Kurs

A good algorithm usually comes together with a set of good data structures that allow the algorithm to manipulate the data efficiently. In this course, we consider the common data structures that are used in various computational problems. You will learn how these data structures are implemented in different programming languages and will practice implementing them in our programming assignments. This will help you to understand what is going on inside a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for these data structures. A few examples of questions that we are going to cover in this class are the following: 1. What is a good strategy of resizing a dynamic array? 2. How priority queues are implemented in C++, Java, and Python? 3. How to implement a hash table so that the amortized running time of all operations is O(1) on average? 4. What are good strategies to keep a binary tree balanced? You will also learn how services like Dropbox manage to upload some large files instantly and to save a lot of storage space!...

Top-Bewertungen

DG
23. Mai 2016

I like this course very much! Rope is the cleverest task I have ever done! Of course, I hope in future I will work on even more difficult problems, but this is pretty good already for me as a student!

PS
9. Juli 2020

I think the course content and assignments were great. A suggestion though, it will be more helpful if there are more and varied corner cases that would save time spent in thinking and making cases.

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26. Dez. 2020

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20. Dez. 2020

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von Krishnasree A

16. Dez. 2020

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von 121910304030 D B

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von REKALA S S C

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von MOOLA M K

11. Dez. 2020

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von PAGADALA M

30. Nov. 2020

cool

von PORANKI S

11. Nov. 2020

done

von 121910305046 P S V S

31. Okt. 2020

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von Omkar V G

23. Juli 2020

Nice

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22. Apr. 2020

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18. Feb. 2019

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von Lie C

19. Juni 2018

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