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

OT

4.0Reviewed Jul 30, 2020

The course was really interesting and enlightening. The course gave me further understanding of important concepts I had been exposed to as well as new concepts.

SB

5.0Reviewed Jul 24, 2019

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

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.

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)

GG

4.0Reviewed Jul 27, 2017

A good overview of various simulation methodologies for diffe

BB

4.0Reviewed Jul 1, 2020

Course content could have been more intense and detailed

DM

5.0Reviewed Apr 4, 2021

Great course, it presents mathematical models and implementations to simulate behaviors of natural systems with the right level of difficulty. It offer awesome insights to solve and optimize code.

GB

4.0Reviewed Sep 8, 2018

Very systematic and detailed introduction. Good way to start off into the science of simulation and modelling.

AA

4.0Reviewed Mar 11, 2018

The first 6 weeks of the course very well done. Unfortunately, the last two weeks were not of the same quality as the remaining parts of the course.

SM

5.0Reviewed Sep 2, 2020

I really enjoyed this course. This course has motivated me to learn more computational tools to apply in any field of sciences. It was thoroughly designed and challenging.

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.

All reviews

Showing: 20 of 110

Qingfeng Li
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Reviewed Feb 18, 2019
Martin Bruner
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Reviewed Jul 24, 2019
Sean Brown
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Reviewed Sep 4, 2019
Luigi Neri
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Reviewed May 12, 2020
Ruedi Gygax
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Reviewed Dec 19, 2018
Persistent Learner
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Reviewed May 2, 2020
Lucas Jones
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Reviewed Mar 7, 2019
Simon Crase
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Reviewed Jan 17, 2018
Johannes Wittmann
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Reviewed Jan 6, 2019
Zhixia Liu
3.0
Reviewed Nov 10, 2017
Girish Venkatachalapathy
5.0
Reviewed Sep 28, 2019
Kiril Klein
2.0
Reviewed Aug 18, 2019
Gopalakrishna Rayamandar Ramasammy-Cook
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Reviewed Apr 30, 2019
Diego Fernando Valero Molano
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Reviewed Apr 5, 2021
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Reviewed Jun 18, 2020
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Reviewed Jun 18, 2020
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Madhu Kumar Sreedhar
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Reviewed Mar 25, 2020
Prayon Joshi
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Reviewed Oct 30, 2019
Anastasiia Ershova
5.0
Reviewed Jul 25, 2020