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Algorithms, Part I

Name: Algorithms, Part I
Rating: 9.2 (8666 reviews)

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications ...

4.9

☆☆☆☆☆ 4.9/5

(8,666 reviews)

848,526 students

Created by

Kevin Wayne

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Classbaze Rating

Classbaze Grade®

9.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.9 / 10

We analyzed factors such as the rating (4.9/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.0 / 10

Video Score: 9.4 / 10

The course includes 11h 45m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.

The average video length is 6 hours 42 minutes of 133 Algorithms courses on Coursera.

Detail Score: 7.7 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

20 articles.

0 resource.

0 exercise.

16 tests or quizzes.

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About the course

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.

All the features of this course are available for free. It does not offer a certificate upon completion.

What can you learn from this course?

What you need to start the course?

Basic knowledge of Algorithms is required to start this course, as this is an intermediate level course.

Who is this course is made for?

This course was made for intermediate-level students.

Are there coupons or discounts for Algorithms, Part I ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.

The average price is $6.8 of 133 Algorithms courses. So this course is 100% cheaper than the average Algorithms course on Coursera.

Will I be refunded if I'm not satisfied with the Algorithms, Part I course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Kevin Wayne?

Kevin Wayne has created 5 courses that got 1,010 reviews which are generally positive. Kevin Wayne has taught 986,644 students and received a 4.8 average review out of 1,010 reviews. Depending on the information available, we think that Kevin Wayne is an instructor that you can trust.

Learn everything about

Kevin Wayne

Computer Science

Princeton University

Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has been teaching since 1998. He received a Ph.D. in operations research and industrial engineering from Cornell University. His research interests include the design, analysis, and implementation of algorithms, especially for graphs and discrete optimization. With Robert Sedgewick, he is the coauthor of two highly acclaimed textbooks, Computer Science: An Interdisciplinary Approach (Addison-Wesley, 2016) and Algorithms, 4th Edition (Addison-Wesley Professional 2011). Together, Sedgewick and Wayne co-developed two of the most popular courses at Princeton University and four associated MOOCs on Coursera, inspiring thousands of students locally and hundreds of thousands more worldwide. He has won numerous awards for his teaching was named an ACM Distinguished Educator in 2014.

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