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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.
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!
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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