Вернуться к Алгоритмы, часть I

звезд

Оценки: 9,554

•

Рецензии: 1,947

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms.
All the features of this course are available for free. It does not offer a certificate upon completion....

RM

31 мая 2017 г.

This is a great class. I learned / re-learned a ton. The assignments were challenge and left a definite feel of accomplishment. The programming environment and automated grading system were excellent.

BJ

2 июня 2018 г.

Good contents and the logic of the whole course structure is very clear for a novice like me. The weekly homework is also awesome. Would recommend to anyone who wants to learn about computer science.

Фильтр по:

автор: José F L D

•1 июня 2021 г.

This is an exceptional course. The assignments are master pieces. The autograder is in itself an amazing programming work designed to challenge every one who dares to do the assignments. I can't imagine the amount of work put into those autograder programs. Personally, I was always impressed on how metiuculously the autograder was. I put a lot more hours to complete the course than the suggested 54. But, it was really worth it.

автор: Brian C

•7 дек. 2016 г.

This course gives a very good overview of algorithms, justifying each new data structure or technique by examining the performance and technical problems that it is trying to solve, and explaining the meaning of the approach. It is a good idea to do a good bit of coding on your own, however, as the Assignments typically expect you to USE the data structures explained in the lectures from a static library rather than hand-coded.

автор: Visual J

•22 июня 2017 г.

I've not merely learnt lots of practical methods to solve the specific algorithm problems within this course, moreover, I've been able to manage to cope with other else algorithm problems, cuz, this course has taught me the through and thinking of using algorithm to solve a problem, including to understand an algorithm, and use it, and eventually get a solution to any specific problem.

Thanks to Professor Robert Sedgewicks

автор: chenxc

•28 июля 2017 г.

Recommend print the ppt then listen to the lecture cuz that would save your time. These homework impresses me deeply, and I did spend a lot of time completing them. Fortunately, I got a not-bad accomplishment at this class. I think everyone would like to have a solid foundation on algorithm as long as s/he study hard in this class. Thanks a lot for providing such a great open class! I love you professors! I love princeton!

автор: Rohit P

•9 апр. 2017 г.

I took this course to refresh my Data Structures and Algorithms knowledge in order to prepare for technical interviews, and I'm glad I did. The lectures are great and the programming assignments are very well designed and have sufficient guidance. You really have to work on them. I would have liked more graded MCQs after lectures. This is also the first MOOC I've completed, and it gives me a great sense of accomplishment!

автор: Vadim P

•16 мая 2020 г.

Very interesting, I finally started to study seriously and learnt a lot, by using the correct Data Structures (and also learning them), learning sorts, I enjoyed a lot, and found very interesting exercises, I learnt the definition of Binary Heap, how better implement the Priority Queue Data Structure, Binary trees, and very fascinating the way Red Black Tree is implemented, and the technique used to maintain it balanced

автор: Kat

•17 окт. 2016 г.

The grading system is very helpful for debugging

A little suggestion, personally i would not go to the forum unless i meet problems, but actually i find i may missed some great thinking for ignoring it. It would be better if there is a subscription feature like what's trending on the Forum to reminder learners to participate in the discussion.

And i like the every week's interview question, thank you for all your effort!

автор: Itsik S

•28 мар. 2018 г.

A very interesting course, very well taught. The course is carried out in a very methodological way, builds the knowledge gradually step by step. The course is suitable both for those who know the material and want to refresh their knowledge and for those who learn this for the first time.

Finally, I would like to say that it was a privilege as much as it was enjoyable to learn from the great Prof. Robert Sedgewick !

автор: seshu c

•27 окт. 2019 г.

One of the best course, I have taken so far. Learned a lot and its good to learn from computer scientists who can explain the trade offs between different data structures. To be frank, i am a newbie and i don't even have a good understanding of data structures when i started this course. But now, i know how the data structures work and how to use them them effectively.Except that the assignments are a bit tuff!!

автор: Henrique G

•15 янв. 2017 г.

I really enjoyed this course. The material and videos were carefully made and very informative. The assignments were made that you can properly use the content learned from the lessons. The mentor/instructors are very knowledgeable. It goes without saying the instructors are reference in the Algorithms field.

It is worth saying the assignments may require you to research extra resources, e.g. Algorithms 4th book.

автор: Luoqi W

•25 дек. 2017 г.

This course is extremely well-organized and covers the foundational algorithmic concepts in a meticulous fashion. Dr. Sedgewick makes these concepts accessible and easy to grasp. The fact that every concept covered is not just discussed on paper but realized in Java code also adds invaluable practical significance. Needless to say, this should be the course that every aspiring computer scientist should take.

автор: Mohamed E

•6 авг. 2020 г.

A good introduction and review of fundamental concepts in algorithms and data structures. It makes sure that you get the hang of the data structures by making you implement these data structures/use variants of these data structures to solve implement specific applications in assignments. Of course, sometimes details arent explained deeply, but I quite enjoyed the course and would definitely recommend it.

автор: Teng B

•8 мая 2019 г.

The Most Remarkable Course I have met in Coursera. This course not only taught Algorithm & Data Structure but also fundamental things about Java Language. The instructor is well prepared and states concepts very clear with plenty of examples to help us understand. The assignments with well designed grader are a huge plus to this course. I rate this course as 5-star for this is the highest rate I can give.

автор: Manish J

•31 мар. 2018 г.

Many thanks to Prof. Sedgewick and Mr. Wayne for this great work for education. This course and this book, the material is just awesome. It really appreciate this work sir ! This course has helped me a lot. The resources your book site has is like a complete teacher for me. The assignments in this course are challenging and improve the skillset a lot!

Finally a load of thanks for such a wonderful course !

автор: Erik Z

•7 нояб. 2017 г.

This was actually a very nice course. I found professor Sedgewick to be a very engaging lecturer, and his patient explanations along with excellent lecture notes helped me, more than a single book could have done, to thoroughly understand all algorithms that were discussed in this course. The assignments were sometimes challenging, but they were always doable. I cannot recommend this course highly enough.

автор: Haotian Z

•14 нояб. 2016 г.

Very solid course. Well explained and informative content and straightforward algorithm illustrations. It not only explains and analyzes mechanism of algorithms, but also offers a set of very practical Java implementations. The weekly programming assignment is awesome. They are well-designed and closely related to real-world application. This is a extraordinary course and I enthusiastically recommend it.

автор: Anthony T

•30 июня 2020 г.

I really enjoyed the programming assignments! I think it was cool that all of them had some sort of visualization component. It helped when debugging code. The lectures were solid as well. It's been a few years since I took my Algorithms course and this was a great refresher on some of the stuff that I missed. I also got to learn about topics that were not covered in my Algorithms class (e.g. Kd Trees).

автор: Christian F

•7 дек. 2016 г.

The course gave me excellent insights and it helped me to improve my java skills.

The overall presentation (learning material, videos, assignment) is very professionial and good to understand.

It would be nice to allow a look at how other students solved the assignments. Maybe with an anonymized grading. Or some kind of a master solution to see, how the best solution to an assignnment would look like.

автор: Imran Q

•16 авг. 2020 г.

Really awesome course with informative lectures by Prof. Sedgewick. The best part, though are the exercises. The problem sets are really well designed and give you a sense of how CS can be applied in all sorts of domains from geometry to networks. Separately, the optional interview questions are also good. As always, its probably best to work through these problems with someone else to learn best.

автор: 李阳阳

•26 апр. 2017 г.

As a developer without adequate CS educational background, it's very exciting and of great use to take this course. I've got the "Algorithm in C (Parts 1-4)" by Sedgewick and did some learning, but it's necessary for me to follow details and explanations from slides and video talks. Also the testing of coding assignment has covered several aspects which I have not paid attention in my daily work.

автор: Access D

•13 мая 2021 г.

I like that you have to think in this coarse, but it could be impossible to finish for beginners. Fortunately I have a Master degree in CS and took this coarse to fill gaps in my education. And indeed there were. I've learned old school Red Black Trees and this coarse approach is much nicer. The main reason I don't like Java is an ugly cast. How come they designed Java so badly. Shame on them.

автор: Alexander Z

•23 нояб. 2020 г.

The learning materials are very well organized. Accurate lecture slides are accompanied by videos that explain in detail and also demonstrate with the help of animations the principle of operation of algorithms and data structures. Programming assignments provide everything you need to complete them without pain but having fun (detailed specifications, FAQ and very helpful testing clients).

автор: HuXiang

•22 мая 2020 г.

absolutely great course. I switch my major from chemistry to computer science and I will begin my graduate study in 3 months. This course definitely helped me a lot. It helps me familiar with basic java grammar , Java collections, data structure and algorithms. Besides, its programming assignments is wonderful. Great course, highly recommend! And I will begin Part I in several days.

автор: sunkara t k

•8 мая 2018 г.

One of the best course on Algorithms and Data structures. Any one serious about software development will benefit a lot from this course. Planning to complete second part as well. Big Thanks to Instructors and Coursera for providing such a wonderful course. Would have been perfect If completion certificate is provided to showcase that we have participated in such a great course.

автор: Kevin S

•10 нояб. 2020 г.

I love the programming assignments of this course, they really help us to gain a better understanding about the algorithms taught in the course. It also shows how powerful these algorithms are in computational applications. The autograder of the assigmnent is really fantastic! It checks the style of the code as well as the implementation and always shows where the problem is.

- Аналитик данных Google
- Управление проектами от Google
- UX-дизайн от Google
- ИТ-поддержка Google
- Наука о данных IBM
- Аналитик данных от IBM
- Анализ данных с помощью Excel и R от IBM
- Аналитик по кибербезопасности от IBM
- Инженерия данных IBM
- Разработчик комплексных облачных приложений IBM
- Маркетинг в социальных сетях от Facebook
- Маркетинговая аналитика Facebook
- Представитель по развитию продаж от Salesforce
- Сбытовые операции Salesforce
- Бухгалтерия от 'Интуит'
- Подготовка к сертификации Google Cloud: облачный архитектор
- Подготовка к сертификации Google Cloud: специалист по инженерии облачных данных
- Начните карьеру
- Подготовьтесь к сертификации
- Продвинуться по карьерной лестнице

- бесплатные курсы
- Изучите иностранный язык
- Python
- Java
- веб-дизайн
- SQL
- Cursos Gratis
- Microsoft Excel
- Управление проектами
- Безопасность в киберпространстве
- Людские ресурсы
- Бесплатные курсы в области науки о данных
- говорить на английском
- Написание контента
- Веб-разработка: полный спектр технологий
- Искусственный интеллект
- Программирование на языке C
- Навыки общения
- Блокчейн
- Просмотреть все курсы

- Навыки для команд по науке о данных
- Принятие решений на основе данных
- Навыки в области программной инженерии
- Навыки межличностного общения для проектных групп
- Управленческие навыки
- Навыки в области маркетинга
- Навыки для отделов продаж
- Навыки менеджера по продукту
- Навыки в области финансов
- Популярные в Великобритании курсы по науке о данных
- Beliebte Technologiekurse in Deutschland
- Популярные сертификаты по кибербезопасности
- Популярные сертификаты по ИТ
- Популярные сертификаты по SQL
- Профориентация: маркетолог
- Профориентация: руководитель проектов
- Навыки программирования на языке Python
- Профориентация: веб-разработчик
- Навыки для аналитика данных
- Навыки для UX-дизайнеров

- Сертификаты MasterTrack®
- Профессиональные сертификаты
- Сертификаты университетов
- MBA и другие дипломы в области бизнеса
- Степени в области науки о данных
- Степени в области компьютерных наук
- Дипломные программы по анализу данных
- Степени в области общественного здравоохранения
- Степени в области социальных наук
- Дипломные программы в области управления
- Дипломы ведущих европейских университетов
- Дипломы магистра
- Степени бакалавра
- Дипломы с карьерными путями, ориентированными на результат
- Бакалаврские курсы
- Что такое диплом бакалавра?
- Сколько времени нужно для получения диплома магистра?
- Стоит ли получать диплом MBA онлайн?
- 7 способов оплатить магистратуру
- Посмотреть все сертификаты