Chevron Left
Retour à Algorithmes, Partie II

Algorithmes, Partie II, Université de Princeton

5.0
650 notes
103 avis

À propos de ce cours

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....

Meilleurs avis

par IO

Jan 21, 2018

Pretty challenging course, but very good. Having a book is a must (at least it was for me), video lectures complement book nicely, and some topics are explained better in the Algorithms, 4th ed. book.

par RK

Sep 26, 2018

An incredible course that covers a lot of vital algorithm on graphs and strings. I learned a lot of new material that I hadn't known before. Thank you very much for this amazing course!

Filtrer par :

103 avis

par Shivraj Rana

Feb 10, 2019

best course available on algorithms

par Stratos Doukakis

Feb 04, 2019

Excellent course.

par Марченко Дмитрий

Feb 04, 2019

Very cool

par Du Liu

Jan 27, 2019

One of the best courses, challenging, enlightening and fun!

par DANISH MUSHTAQ

Jan 24, 2019

i love it

par zzaustc

Jan 10, 2019

concise, interesting, in-depth

par Houssine

Jan 08, 2019

great

par Geng Xue

Jan 07, 2019

Contents is good, but the lecturer's sounds is not clear and low voices.

par Son Ngoc Dinh

Jan 06, 2019

Great course! You're going to learn about algorithms and data structures for graph and string processing. The programming assignments are really interesting and is an important part of the course. You need some familiarity with Java and the course's Java library though.

par Maruf Hassan

Jan 02, 2019

I've completed both Part I and Part II. So my review belongs to two of the courses.

I took this course to gain a better understanding of data structures and algorithms and also to learn more about the Java language.

Best way to learn algorithms is through visualization. In this course, Professor Sedgewick slowly but steadily presents each algorithm and data structure with dynamic visualization. The animations really help to clarify exactly how the algorithms process the data and solve a problem.

Another important aspect is that this course discusses the implementation details of the algorithms by using Java programming language. They developed a java library where almost all the algorithms in a traditional algorithm text-book have been implemented. It's really satisfying to read such nice, concise and elegant code.

I started this course with an intermediate level of knowledge on Java. That's why it was pretty easy for me to keep pace with the implementation challenges. However, I learn and apply many java specific technique such as generics, iterator, object equality, immutability, testing etc. in-depth in this course. From my experience, I would recommend, to get the most out of the course, you should have a little bit of programming experience in Java.

In order to pass the course, you have to complete a programming assignment in each week. The assignments are well written, pretty much challenging and fun to solve. You will get the feelings to solve large-scale complex problems. They expect you to spend 3-5 hours for an assignment to pass (80%) each assignment. However, I lost track of how much time I spent to chase the benchmarks for 100% in each assignment. You will definitely have a challenging time to score 100%.

The evaluation system of the assignment is very sensitive. You have to maintain a prescribed API, otherwise, your solution will not be accepted. I wonder about their effort, how much time they spend to make such unit testing code. In some cases, I see that they wrote 1200-1500 lines of unit testing code to check our only 200-300 lines of solution, definitely praiseworthy!

Overall, this was a great course and it was a great opportunity for me to take such an enriched algorithm course. I highly recommend it to every serious programmer who wants to learn more about data structures, algorithms, and the Java language.