Back to Simulation and modeling of natural processes
University of Geneva

Simulation and modeling of natural processes

This course gives you an introduction to modeling methods and simulation tools for a wide range of natural phenomena. The different methodologies that will be presented here can be applied to very wide range of topics such as fluid motion, stellar dynamics, population evolution, ... This course does not intend to go deeply into any numerical method or process and does not provide any recipe for the resolution of a particular problem. It is rather a basic guideline towards different methodologies that can be applied to solve any kind of problem and help you pick the one best suited for you. The assignments of this course will be made as practical as possible in order to allow you to actually create from scratch short programs that will solve simple problems. Although programming will be used extensively in this course we do not require any advanced programming experience in order to complete it.

Status: Statistical Methods
Status: Python Programming
Course23 hours

Featured reviews

GV

5.0Reviewed Sep 27, 2019

Extremely good course with excellent python codes for interesting applications

AR

5.0Reviewed Apr 17, 2018

Excellent course for people who love math, physics and simulations ! I choose it to get an insight on Lattice Boltzmann Method, I was happy to apply it and extend it to other cases.

PC

4.0Reviewed Sep 22, 2023

Great content and lots of examples. However, some assignments and quizzes need to be updated, as well as instructions and feedback for wrong answers.

SB

5.0Reviewed Jul 24, 2019

In depth analysis of simulating processes, from mathematics to algorithms.

GG

4.0Reviewed Jul 27, 2017

A good overview of various simulation methodologies for diffe

RM

4.0Reviewed Apr 20, 2019

Week 5 and 6 where harder to follow and the projects where more complicated to understand (even though it shows that effort were put into them)

EB

4.0Reviewed Jan 19, 2021

There was some problems with the quizes that took the professors some time to correct.

BB

4.0Reviewed Jul 1, 2020

Course content could have been more intense and detailed

MB

4.0Reviewed Sep 20, 2020

The course was nice and informative. Easily presented. But the last two weeks were difficult to grasp and not well delivered.

DC

5.0Reviewed Sep 7, 2021

I am completely sattisfied with the amount of information and questions that I got from this course.

JJ

4.0Reviewed Jul 28, 2020

I recommend to put Jupyter Notes in this course. It might come handy in my opinion.

FO

5.0Reviewed Mar 3, 2023

A perfect course learning you exactly what you want step by step

All reviews

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Reviewed Feb 18, 2019
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