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Introduction to Ordinary Differential Equations

In this introductory course on Ordinary Differential Equations, we first provide basic terminologies on the theory of differential equations and then proceed...
4.7
4.7/5
(1,056 reviews)
31,576 students
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8.3

Classbaze Grade®

N/A

Freshness

8.6

Popularity

7.5

Material

Introduction to Ordinary Differential Equations
Platform: Coursera
Video: 10h 0m
Language: English

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Classbaze Rating

Classbaze Grade®

8.3 / 10

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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Course content can become outdated quite quickly.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

8.6 / 10
We analyzed factors such as the rating (4.7/5) 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

7.5 / 10
Video Score: 9.1 / 10
The course includes 10h 0m 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 39 minutes of 52 Math and Logic courses on Coursera.
Detail Score: 7.9 / 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: 1.0 / 10

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

This course contains:

0 articles.
0 resource.
0 exercise.
0 tests or quizzes.

In this page

About the course

In this introductory course on Ordinary Differential Equations, we first provide basic terminologies on the theory of differential equations and then proceed to methods of solving various types of ordinary differential equations. We handle first order differential equations and then second order linear differential equations. We also discuss some related concrete mathematical modeling problems, which can be handled by the methods introduced in this course.

The lecture is self contained. However, if necessary, you may consult any introductory level text
on ordinary differential equations. For example, “Elementary Differential Equations and Boundary Value Problems
by W. E. Boyce and R. C. DiPrima from John Wiley & Sons” is a good source for further study on the subject.

The course is mainly delivered through video lectures. At the end of each module, there will be a quiz consisting of several problems related to the lecture of the week.

What can you learn from this course?

What you need to start the course?

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Math and Logic knowledge.

Who is this course is made for?

This course is suitable for beginners.

Are there coupons or discounts for Introduction to Ordinary Differential Equations ? 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.

Will I be refunded if I'm not satisfied with the Introduction to Ordinary Differential Equations 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 Kwon, Kil Hyun?

Kwon, Kil Hyun has created 1 courses that got 208 reviews which are generally positive. Kwon, Kil Hyun has taught 31,576 students and received a 4.53 average review out of 208 reviews. Depending on the information available, we think that Kwon, Kil Hyun is an instructor that you can trust.
Department of Mathematical Sciences
Korea Advanced Institute of Science and Technology(KAIST)
The main research area is sampling theories in various functional spaces. Recently he has a strong interest in irregular sampling theories in shift-invariant spaces(SIS), average sampling series in SIS, vector sampling theories in SIS, channeled sampling theories in SIS and its aliasing errors. He is interested in not only sampling theories in SIS but also ones in Wavelet sub-spaces and reproducing kernel Hilbert spaces. Multi-resolution analysis and harmonic analysis are research interests as well.

8.3

Classbaze Grade®

N/A

Freshness

8.6

Popularity

7.5

Material

Platform: Coursera
Video: 10h 0m
Language: English

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