Computational Physics: Scientific Programming with Python

Computational Physics: Scientific Programming with Python

This course is for everyone who wants to learn and get better in Python and physics.

Except for some school mathematics, no prior knowledge is required. We will start from the basics and climb the ladder up to advanced projects!

Python is an enormously powerful tool and widely used in theoretical and computational physics.
It is not difficult to use but the whole topic can be overwhelming to learn if you are on your own.

In computational physics we use numerical techniques from mathematics, such as:

• Interpolation & Model fitting

• Derivatives & Integrals

• Differential equations

• Eigenvalue problems

• Monte Carlo methods

to solve problems from all areas of physics.

You are kindly invited to join this carefully prepared course that will teach you all you need to know about Python for scientific programming. It includes a crash course, quizzes, exercises, solutions and, of course, hands-on programming sessions in which we will solve real-life examples, such as

• Calculating the magnetic field of a charged wire (integrals & derivatives)

• Chaos & the butterfly effect (differential equations)

• Heat propagation in a sample (differential equations)

• Simulating (and navigating) a spaceship interacting with sun, earth and moon (differential equations)

• The strange behavior of coupled oscillators (Eigenvalue problems, Fourier analysis & fitting procedure)

• Ferromagnets & Antiferromagnets (Monte Carlo methods)

• Special properties of graphene (Advanced science lecture about the Nobel prize winning material)

• ... & many more
  
  

Why me?

My name is Börge Göbel and I am a postdoc working as a scientist in theoretical physics.
I have refined my advisor skills as a tutor of Bachelor, Master and PhD students in theoretical physics and have other successful courses here on Udemy.

Especially when I started my PhD, I was impressed how easily you can solve demanding tasks with Python. I have used the program for the results in many of my publications and have recommended Python to all of my students.

“Excellent course, it is just what I was looking for: everything you need to know about Python for solving physics problems from the basics. Very well structured, full of examples and applications to real problems, template files to help you follow the classes and entertaining while instructive explanations.“ - Adrián Terrones Aragón

I hope you are excited and I kindly welcome you to our course!

From numerical methods to exciting applications: Differential equations, eigenvalue problems, Monte Carlo methods & more

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What you will learn

• Getting Started: A beginner-friendly crash course about NumPy, functions, loops, conditionals, lists, arrays & plots
• Numerical methods: Derivatives & integrals, differential equations & eigenvalue problems, interpolation & Monte Carlo methods
• Practice at Physics Problems: Moment of inertia, magnetic field of a wire, radioactive decay, harmonic oscillators, free fall, rolling balls

Rating: 4.65254

Level: All Levels

Duration: 21 hours

Instructor: Dr. Börge Göbel