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.

Offered By

## Simulation and modeling of natural processes

## About this Course

#### 100% online

#### Flexible deadlines

#### Approx. 33 hours to complete

#### English

### Offered by

#### University of Geneva

Founded in 1559, the University of Geneva (UNIGE) is one of Europe's leading universities. Devoted to research, education and dialogue, the UNIGE shares the international calling of its host city, Geneva, a centre of international and multicultural activities with a venerable cosmopolitan tradition.

## Syllabus - What you will learn from this course

**2 hours to complete**

## Introduction and general concepts

This module gives an overview of the course and presents the general ideas about modeling and simulation. An emphasis is given on ways to represent space and time from a conceptual point of view. An insight of modeling of complex systems is given with the simulation of the grothw and thrombosis of giant aneurysms. Finally, a first class of modeling approaches is presented: the Monte-Carlo methods.

**2 hours to complete**

**7 videos**

**1 reading**

**1 practice exercise**

**3 hours to complete**

## Introduction to programming with Python 3

This module intends to provide the most basic concepts of high performance computing used for modeling purposes. It also aims at teaching the basics of Python 3 which will be the programming language used for the quizzes in this course.

**3 hours to complete**

**12 videos**

**2 readings**

**3 practice exercises**

**4 hours to complete**

## Dynamical systems and numerical integration

Dynamical systems modeling is the principal method developed to study time-space dependent problems. It aims at translating a natural phenomenon into a mathematical set of equations. Once this basic step is performed the principal obstacle is the actual resolution of the obtained mathematical problem. Usually these equations do not possess an analytical solution and advanced numerical methods must be applied to solve them. In this module you will learn the basics of how to write mathematical equations representing natural phenomena and then how to numerically solve them.

**4 hours to complete**

**9 videos**

**3 readings**

**3 practice exercises**

**3 hours to complete**

## Cellular Automata

This module defines the concept of cellular automata by outlining the basic building blocks of this method. Then an insight of how to apply this technique to natural phenomena is given. Finally the lattice gas automata, a subclass of models used for fluid flows, is presented.

**3 hours to complete**

**7 videos**

**2 readings**

**2 practice exercises**

### Reviews

#### 4.1

##### TOP REVIEWS FROM SIMULATION AND MODELING OF NATURAL PROCESSES

This course was a perfect match with my expectations! I think it is a perfect introduction to Computer modeling of natural processes. I enjoyed lectures and tasks. Thank you very much!

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.

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)

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

Extremely good course with excellent python codes for interesting applications

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

A good overview of various simulation methodologies for diffe

## Frequently Asked Questions

When will I have access to the lectures and assignments?

Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

What is the refund policy?

Is financial aid available?

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