Вернуться к Алгоритмы, часть I

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Оценки: 8,387

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Рецензии: 1,732

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.

RP

10 июня 2017 г.

Incredible learning experience. Every programmer in industry should take this course if only to dispel the idea that with the advent of cloud computing exponential algorithms can still ruin your day!

Фильтр по:

автор: Erik U

•21 июля 2020 г.

Challenging, but informative. I learned a lot and will think about programming algorithms and data structures much more carefully now.

автор: Chuangye W

•13 дек. 2020 г.

This is a very useful course. Thanks for the teachers' work.

автор: Denis

•8 дек. 2020 г.

The best algorithmic course I've ever seen

автор: Tom V

•11 дек. 2020 г.

very clear

автор: Mohammed A S

•19 янв. 2020 г.

Awesome course. The instructor is one of the best in the business. It gives you a proud feeling to be taught by someone who himself has contributed so much to the tech world in terms of Algorithm and Data structures. Though sometimes it does get a little frustrating as the topic is so hard. My only complain about this course is as the course is in java for people trying to implement the Algorithms in other languages like c++, python it gets a little hard to find the alternatives of language specific features in other languages so i wish some help was given on that regard. Overall great course. A big thanks to the instructor for making this course.

автор: Terng N

•11 окт. 2016 г.

Good course for a free one. Thank you for all of your great work. Somehow, the pace is too fast. Covering about 2 sections per week is by far too hard to read the book along with the class. There's no practice exercise to strengthen what you learn. The assignment is very hard and sometime don't directly implement the knowledge you learn in that week. Sometime the video sound is too quiet (but you can read the transcript when it happened.) The book is better in my opinion.

автор: Letícia D

•13 янв. 2019 г.

É ruim pq o curso é em ingles, e pelo menos a legenda deveria ser em português, e até a legenda ta em inglês também, pra quem está iniciando e não tem nenhum conhecimento em inglês é péssimo.

автор: Ufuk D

•21 сент. 2020 г.

Too much detailed first assignment containing open-ended irrelevant tasks. Got bored.

автор: Alex E

•21 мая 2017 г.

Great course with appropriately challenging assignments! Clearly a lot of effort was put into designing them in such a way that the API and code-tester forces you to implement precisely the algorithm they're talking about, but you still have to write all the interesting code from scratch. Difficult, but a ton of test clients and other resources are provided to help you out. I felt really rewarded for each assignment completed.

I was taking this as a refresher (took Algorithms in college), and found the lectures much more interesting this time around. For example, the way Red-Black trees were explained as an implementation of 2-3 trees, made the algorithm much easier to understand than how I learned it before, which was that a red-black tree is a binary tree maintaining such-and-such invariant blah blah blah. As a result I retained more about how the algorithm works, and the invariant actually makes sense to me now.

автор: Rui D

•10 янв. 2018 г.

This course is designed so well that it is the best as an introduction for algorithm beginners. It does not include any obscure maths formulas, but it has a lot of propositions and properties that build up the rigorous analysis framework, teaching us how to think systematically in terms of designing, analyzing and choosing algorithms. Leveraging Java, you can learn the algorithm implementations and applications by experiments. This approach makes algorithms learning very practical. The course also advocates for good programming style which is very important in software construction in the industry. This is assured by using some good tools such as FindBugs and so on. Last but not least, this course provides very rich learning materials, especially the high quality assignments with good auto-graders which provide us invaluable feedback, and high quality example source code and standard library.

автор: Xinyuan Z

•13 июня 2017 г.

I can't measure how important this course is to me. I am a graduate student in the field of Theory & Engineering of Control, which is actually a domain related half with theory and mathematics and half with engineering, coding and application. I have involved in some international competitions before, responsible for C++ coding. After I struggled to finish this course and all the assignments, however, I find that I have a better understanding of programming. What I should do is definitly not just finish the functions raised by a project, but to analyse my codes, to optimise them and maintain them as something can be reused. Also I got to know the fields of robot path planning (A* algorithm) and so on. I will take another part of this course in the next month cause it really takes my a lot of time, but there are something crutial to deal with. Thank all the friends I've met in the forum.

автор: shan h

•5 июля 2020 г.

This course is great. The lecturer explains the ideas and illustrate them with animation crystal clearly. The effort put into the walk-through of the material can be clearly felt, which get the job done very well. The only thing that i felt somehow missing is the philosophy behind those algorithms, like what makes one algorithms faster than the other? Is it because slower algorithm does extra job than goal? The course might be more intriguing if that part can be covered to some extend.

The assignments really impressed me, especially how the design of auto-grader. This course can really be standalone without any instructor with this auto-grader. The assignments themselves are really useful in consolidating the covered material. Beside the design of the APIs give me a good lesson what a good encapsulation is and how convenient they could be, which is really useful experience.

автор: shant c

•14 авг. 2017 г.

I took this course with no prior experience in Java, and that was not a major roadblock to finish this course. The way Dr. Robert and Dr. Kevin have designed the assignment, it’s just fabulous. They provide the helper class – StdDraw, SET, and etc. All you need to do is think about applying the lectures from Dr Robert. The delivery of the lecture from Dr. Robert is very insightful, crisp, and to the point. I liked how Dr. Robert was excited while mentioning his Red-Black tree reference on a TV series (Spoiler Alert !!!), and how the order of complexity of various data structures are computed and compared. The assignments are designed to apply the concepts on real world problems. I would like to thank Dr. Robert, Dr. Kevin, and other mentors for sharing this well-organized and well-crafted course on Algorithms. I can’t wait to begin Algorithms Part II.

автор: Peter K

•2 янв. 2018 г.

I highly recommend this course to anybody who is willing to learn about data structures and algorithms, understand in which situation which algorithm or data structure may be more suitable, how are these used in real life problems or even if you only want to practice them again. The lectures are very well structured, providing a lot of useful information and each week (except for the last one) requires to program a challenging* assessment (*depends on your algorithms and data structures knowledge and experience level). Even though all the material and programming assessments are in Java, it is should not be a problem to implement the same in any other programming language (except for you might miss the generics in some - requiring you to implement "same" data structures for different primitive/elementary data types).

автор: Liyang L

•6 февр. 2020 г.

Excellent course covers basic algorithms and data structures, where theories are intuitively explained along with practical applications.

What impress me most is the programming assignments, which are both challenging and fun, helps strengthening my understanding of the topics and improve programming skills. It's very satisfying to improve my code and pass every correctness/memory/timing/bonus tests. I do wish there are more programming assignments.

However, I hope each topics are taught more in depth, I feel those text books contains way more contents than online courses, but reading those walls of texts are too dry and daunting compared to online learning and practicing. I understand that buiding a learning platform like this requires huge efforts, so this is just my wish.

автор: Ramshankar

•26 окт. 2019 г.

Prof. Sedgewick is super great. This course is tough although there are only programming assignments in the coursera version. The videos can be viewed several times and we may catch up on ideas that we miss due to short-attention spans etc issues. I shudder to think of the days when we did not have video recordings... The assignments are graded by a machine using a very carefully designed method- they really take teaching seriously out there. It is all fine and such and did you know, they have a super cool java development kit and an algs package.. i haven't used java much for many many years but I enjoyed all the help that i got out of the course's JDK that offered loads of type checking etc. and you can install in linux or windows. Have fun at it, if you can.

автор: Adam S

•3 авг. 2020 г.

Highly recommend to those wanting to learn from scratch or refresh their memory on data structures & algorithms. I recommend supplementing this course with the textbook version which features more details and homework questions in addition to the very well made programming assignments on this platform. If you enjoy this course, I would also highly suggest to check out the part 2 of this course. It is a little more challenging however I would debatably say the information in that part is very valuable as it includes many practical applications you would see anywhere. Cheers to Kevin Wayne, Robert Sedgwick and any other person who contributed to the development of these resources. It is greatly appreciated by many self-learning students including myself.

автор: Nikita Z

•22 мар. 2017 г.

Great overview course. I have taken algorithms in college, and I am currently a software developer, but I have found this tremendously useful to review the material (especially good for interview prep!). I even gain a better understanding of concepts I thought I knew well already. The professor explains everything in a concise and thorough manner, the homeworks are well thought out, and the hints are helpful. The only improvement I could think of for the course would be to make the lecture sound a bit quieter during the few times the professor would cough -- the mic distortions can be a little annoying. Overall, highly recommend this course to anyone looking to learn basics of algorithms or review the material for interviews or general understanding.

автор: Igor B

•3 июля 2017 г.

It is one of best courses I took. Prof Sedgewick explains complex things in easy manner, by providing not only steps to algorithms but also reasons, context, history about them. So your background becomes more solid.

For instance, I was always wondering about red-black trees why its properties are stated in some particular way, but by looking at 2-3 trees, I now understand roots.

Practical examples are really good and they teach you program according to API and be careful about small details.

I would ask authors of course to add practical tasks to last 6th week, without them it is just theoretical. I am looking forward for 2nd part of course which should appear soon.

Could you please provide estimates for 2nd part of course if possible?

Excellent work!

автор: Sudhir K

•19 нояб. 2016 г.

The best algorithms course. The video lectures are very good. Prof.Sedgewick builds the concepts very well. The code examples/library written by Prof. Wayne and Prof. Sedgewick's code are very compact and the best I have seen. The online website is great supplement to the book. The auto grader is air tight, that forces the student to think and write their code to the specs. My greatest appreciations for Prof. Wayne and Prof. Sedgewick. I wish students have the option to submit their solutions in C++ because in most of the languages the core algorithms/data structures are often written in c/c++ , I understand it is not easy because the course libraries and grader has to written for c++.

автор: Carlos F P

•20 февр. 2020 г.

This course has a great balance. Want to push yourself to the very limit to write code that is efficient, has a small memory footprint and is correct ? just get 100 on the assignments. Want to become familiar with the most basic algorithms and data structures that every programmer must know (my case) ? just get 80 points on the assignments. They are fascinating, and cover some applications of algorithms and data structures to problems, they allow you to see a little bit why these topics are important. Overall a nice experience. I can't believe this course is offered for free. Professor Sedgewick truly wants to help humanity improve, I guess.

автор: Ruchitya T A

•14 авг. 2017 г.

A wonderful course that not only teaches one the concepts behind a given data-structure or algorithm, but also prods one to realize software implementations of the same to solve puzzles/ practical problems. The coding assignments do take some time, they are not easy. I took more than the stipulated 5 hours on almost all assignments. But it was worth it, since the problems presented are definitely not easy and give a real sense of accomplishment once completed. There are plenty of pointers to lead one to the correct answer eventually, in the form of checklists and the discussion forum, so fear not! Will be taking up Part 2 of the course soon.

автор: K M M H

•1 июня 2017 г.

An excellent course for programmers who already knows programming but want to take it to the next level. Prof. Sedgewick has done an excellent job explaining the data structures and the algorithms by starting from simple idea and gradually building up on that. His lectures are slow and easy to follow. The programming assignments are interesting and challenging at the same time. I wish the programming exercises were available too. I feel that whatever I have learnt from this course will be immediately useful in my day to day job. Thanks coursera, Prof. Sedgewick and Prof. Wayne for the course. Looking forward for taking Algorithms Part II.

автор: Kevin J

•4 июля 2017 г.

Amazing course to learn data structure and classic algorithm! Thank for all of you provide such a awesome learning experience. As a fresh guy who know little programming skills with python, I just want to try some more challenge course and learn more useful thing but never believe i could complete this course because java and algorithm is absolutely new thing to me. When try to figure homework assignment out, it is really struggling and frustrating, you will definitely enjoying the time during debugging codes and use lecture knowledge to implement your ideas. Finally, thank you so much for all the course mentors and forum's classmate!

автор: Tang

•25 мая 2017 г.

the course was perfect after the introductory CS course, it make you starting to pay more attention to how efficient you program runs. Besides, aside from the intricate math analysis, the instructor also spent a fair amount of time emphasizing on the practical applications where these algorithm truly shines, I love the course not only because the knowledge I acquire about these alogorithm, but the more fundamental reason why we even need them at the first place.

HW each week was fun and challenging, however, sometimes it requires a fair amount of self-exploring before hitting the right track, but it was totally worth it.

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