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 stars90.05%
- 4 stars8.19%
- 3 stars0.97%
- 2 stars0.23%
- 1 star0.54%
TOP REVIEWS FROM ALGORITHMS, PART I
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!
The course is good and the concepts are clear to understand. Best course to choose if you want to learn Algorithms completely. Each and every concept is explained with good number of examples.
The course lost a lot without tests. Theory is great. Assignments are pain in the azz - too much is assumed here and there. You must resubmit like a dozen of times to figure out what is wrong.
It is a must for those who are having trouble with object oriented programming. Coding in java was really easy for the object oriented approach. Really gained great insights into data structures.
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