Professional Course

Differential Equations in Action

Udacity, Online
48 hours
Next course start
Free E-Learning: Start Anytime! See details
Self-paced Online
48 hours
Next course start
Free E-Learning: Start Anytime! See details
Self-paced Online
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Course description

Differential Equations in Action from Udacity

Differential Equations in Action: E-learning for the applied sciences

This e-learning course is designed to guide participants in the design of numerical solutions for differential equations. Throughout the program delegates will gain skills for using differential equations to work with real world problems. Participants will learn to write code in Python for rescuing astronauts, stopping the spread of epidemics, fighting forest fires and more.

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Upcoming start dates

1 start date available

Free E-Learning: Start Anytime!

  • Self-paced Online
  • Online

Who should attend?

This Differential Equations in Action program is intended for anyone hoping to gain a clear understanding of differential equations for the applied sciences. 


This course requires basic understanding of programming in Python, an understanding of Python packages and a general comfort with trigonometry and basic vector algebra. This course looks at differential equations numerically rather than analytically, however some understanding of physics and calculus would be helpful.

Find out if this course is right for you - request more information here!

Training content

This Differential Equations in Action is divided into 7 lessons:

Rescuing Apollo 13, Part 1

  • Introduction to the Forward Euler Method

Rescuing Apollo 13, Part 2

  • Comparing solvers, Heun’s Method, and the Symplectic Euler Method

Analyzing the Spread of Diseases

  • Implicit methods and stiffness

There’s Plenty of Fish in the Sea?

  • Stability, sensitivity, and optimization

Antilock Brake Systems

  • Friction, equilibria, and control theory

The Path of a Forest Fire

  • Partial differential equations and heat conduction

Advanced Applications of Numerical Methods

  • Chaos, software, and predictive capability


It is free to start this  Introduction to Java Programming course

Estimated time for completion assuming 6 hours per week: Approx. 4 months

2-Week Free Trial: Love it or Leave it

All Udacity courses are offered with a two-week free trial. Learners will have plenty of time to make sure that the program fits their needs. If it's not working out for any reason - user can cancel their subscription fee of charge.

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