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.
Algorithms, Part IIプリンストン大学（Princeton University）
Princeton University is a private research university located in Princeton, New Jersey, United States. It is one of the eight universities of the Ivy League, and one of the nine Colonial Colleges founded before the American Revolution.
- 5 stars93.96%
- 4 stars4.93%
- 3 stars0.46%
- 2 stars0.29%
- 1 star0.34%
ALGORITHMS, PART II からの人気レビュー
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!
Excellent course that provides a good introduction to more advanced algorithms that build on those presented in part 1 of the course. Thank you Professor Sedgewick and Kevin Wayne.
This class is amazing. If you follow this course schedule strictly, and finish the homework and interview questions, you are gonna to learn a lot of algorithm thinking methods.
Another great course and perfect follow-up to Algorithms Part 1. I liked that we used the algorithms built in the first part to make other powerful algorithms and tools.
Do I need to pay for this course?
Can I earn a certificate in this course?
I have no familiarity with Java programming. Can I still take this course?
Which algorithms and data structures are covered in this course?
What kinds of assessments are available in this course?
I am/was not a Computer Science major. Is this course for me?
How does this course differ from Design and Analysis of Algorithms?