Differential Equations in Action

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8/10 stars
based on  3 reviews
Provided by:
Cost FREE
Start Date On demand

Course Details

Cost

FREE

Upcoming Schedule

  • On demand

Course Provider

Udacity online courses
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and ...
Udacity gives students the opportunity to create hands-on projects that can be put into their portfolios and used to demonstrate their skills to future employers. You'll have a personal coach who helps provide feedback on your assignments and projects to assist you in reaching your goals and staying on track in your online classes. Throughout your education experience, you'll be able to track your development, complete in-class projects, have access to interactive exercises and videos and earn a verified certificate at the end of the course as proof of all that you've learned. You'll be learning from knowledgeable professors across various schools and parts of the globe. Learn about computer science from Dave Evans, an instructor at the University of Virginia, or delve into app development with Samantha Ready, a Developer Evangelist at Salesforce.com.

Provider Subject Specialization
Sciences & Technology
102 reviews

Course Description

In this course, you'll hone your problem-solving skills through learning to find numerical solutions to systems of differential equations. You'll write code in Python to fight forest fires, rescue the Apollo 13 astronauts, stop the spread of epidemics, and resolve other real-world dilemmas.
Reviews 8/10 stars
3 Reviews for Differential Equations in Action

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Dan profile image
Dan profile image
9/10 starsCompleted
  • 6 reviews
  • 6 completed
6 years, 5 months ago
Jorn Loviscach and his teaching assistants produced an excellent course in applied differential equations. Of the five courses I have completed through Udacity, the problem sets in this course were the most enjoyable to complete. Coming from an engineering background, I have previous exposure to the math theory, as well as engineering specific theory, although few courses required applied programming. Since graduation six years ago, I have rarely applied it with programming. The course served as an excellent refresher on developing numerical models and the frequent code-based quizzes helped improve my fluency in writing Python code. The topics presented covered an interesting range of disciplines, but didn't cover nearly the scope of a university-level introductory differential equations course. That said, I came out of this course much better equipped to apply numerical computation in practice which may be more significant and may i... Jorn Loviscach and his teaching assistants produced an excellent course in applied differential equations. Of the five courses I have completed through Udacity, the problem sets in this course were the most enjoyable to complete. Coming from an engineering background, I have previous exposure to the math theory, as well as engineering specific theory, although few courses required applied programming. Since graduation six years ago, I have rarely applied it with programming. The course served as an excellent refresher on developing numerical models and the frequent code-based quizzes helped improve my fluency in writing Python code. The topics presented covered an interesting range of disciplines, but didn't cover nearly the scope of a university-level introductory differential equations course. That said, I came out of this course much better equipped to apply numerical computation in practice which may be more significant and may indicate a better understanding of fundamentals. Simply put, the course requires students to spend time applying a few basic computational algorithms in a diverse array of disciplines to encourage knowledge transfer. This is the type of learning that eludes many students in the university system. I would have liked more emphasis on analysis of the complexity of problems such that students develop a more adaptable problem-solving 'toolbox' or intuitive sense of what algorithm to use with what resolution (time-step, grid size). This topic was covered in the course at various points, but not to the degree I hoped it would.
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Robert Davis profile image
Robert Davis profile image
9/10 starsCompleted
  • 16 reviews
  • 16 completed
5 years, 3 months ago
This class was enjoyable. I did not complete it yet due to other courses interfering (I imagine I will get back to it some day). You should have a solid programming background before beginning. (unless they changed something...I started this class last year sometime)
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Sai profile image
Sai profile image
8/10 starsCompleted
  • 14 reviews
  • 13 completed
6 years, 8 months ago
This course covers the basics of numerically solving ordinary and partial differential equations. I like how it picks interesting problems from physics, biology, engineering, and social sciences and shows you how they are formulated as ODE or PDE. The assignments are in Python with some help from the NumPy library (http://www.numpy.org/). If you are interested in more advanced material, I recommend to take a look at Coursera's Scientific Computing (http://coursetalk.org/scientific-computing-uw).
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