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.
Offered By
Algorithms, Part I
Princeton UniversityAbout this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Data Structure
- Algorithms
- Java Programming
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
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 star0.54%
TOP REVIEWS FROM ALGORITHMS, PART I
An amazing course which enables one to appreciate and analyze various algorithms used in various applications. Must take for anyone who wants to build a career in computer science or related fields.
Great lectures. Lectures are a faster pace than most, which helped keep me engaged. Assignments are challenging yet well-polished, and the automated assignment grader provides helpful feedback.
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!
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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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?
Which 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?
More questions? Visit the Learner Help Center.