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
University of GenevaAbout this Course
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Approx. 23 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Instructors
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Approx. 23 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
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 (Total 85 min), 1 reading, 1 quiz
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 (Total 94 min), 2 readings, 3 quizzes
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 (Total 92 min), 3 readings, 3 quizzes
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 (Total 108 min), 2 readings, 2 quizzes
Reviews
TOP REVIEWS FROM SIMULATION AND MODELING OF NATURAL PROCESSES
by DMApr 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.
by ARApr 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.
by SMSep 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.
by OTJul 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.
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