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.
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 stars93.97%
- 4 stars4.94%
- 3 stars0.45%
- 2 stars0.28%
- 1 star0.34%
Awesome course. Helped me understand graph better. The API is simple and effective. I implemented the whole API and have been using it in my other graph solutions
This was a great overview of more advanced algorithms, and I also got to prep for interviews and use concepts in actual work. The theory at the end was very helpful as well
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!
The exercise, while is very hard, is very well-prepared and selected for students to understand and appreciate the algorithm. The explanation is descriptive and detailed.
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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?