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 I
Princeton UniversityAbout this Course
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- Data Structure
- Algorithms
- Java Programming
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Syllabus - What you will learn from this course
Course Introduction
Union−Find
Analysis of Algorithms
Stacks and Queues
Elementary Sorts
Mergesort
Quicksort
Priority Queues
Elementary Symbol Tables
Reviews
- 5 stars90.09%
- 4 stars8.16%
- 3 stars0.96%
- 2 stars0.23%
- 1 star0.53%
TOP REVIEWS FROM ALGORITHMS, PART I
Good contents and the logic of the whole course structure is very clear for a novice like me. The weekly homework is also awesome. Would recommend to anyone who wants to learn about computer science.
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!
Extremely well designed course. The assignments touch all the concepts taught in the class. Lot of concepts get clarified when you try to reach 100% on each assignment. Highly recommend this course.
Best algorithm course ever seen. The assignments were awesome. Problem statements of assignments are well written. And the best thing is grading system. I loved the course and now going for part 2.
Frequently Asked Questions
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I have no familiarity with Java programming. Can I still take this course?
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How does this course differ from Design and Analysis of Algorithms?
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