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.
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Algorithms, Part II
Princeton UniversityÜber diesen Kurs
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- Graphs
- Data Structure
- Algorithms
- Data Compression
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Probieren Sie Coursera for Business ausLehrplan - Was Sie in diesem Kurs lernen werden
Introduction
Undirected Graphs
Directed Graphs
Minimum Spanning Trees
Shortest Paths
Maximum Flow and Minimum Cut
Radix Sorts
Tries
Substring Search
Bewertungen
- 5 stars93,87 %
- 4 stars5,06 %
- 3 stars0,44 %
- 2 stars0,27 %
- 1 star0,33 %
Top-Bewertungen von ALGORITHMS, PART II
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!
This is an excellent course as an introduction to algorithms. Together with part 1, the Princeton Algorithms series is the best MOOC course I've ever done.
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.
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.
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I have no familiarity with Java programming. Can I still take this course?
Which algorithms and data structures are covered in this course?
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I am/was not a Computer Science major. Is this course for me?
How does this course differ from Design and Analysis of Algorithms?
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