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.
Simulation and modeling of natural processes
Universität von GenfÜber diesen Kurs
40,552 kürzliche Aufrufe
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 23 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Chinesisch (vereinfacht), Italienisch, Vietnamesisch, Koreanisch, Deutsch, Russisch, Türkisch, Englisch, Spanisch
Dozenten
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 23 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Chinesisch (vereinfacht), Italienisch, Vietnamesisch, Koreanisch, Deutsch, Russisch, Türkisch, Englisch, Spanisch
von
Universität von Genf
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
2 Stunden zum Abschließen
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 Stunden zum Abschließen
7 Videos (Gesamt 85 min), 1 Lektüre, 1 Quiz
7 Videos
Modeling and Simulation13m
Modeling Space and Time15m
Example of bio-medical Modeling9m
Monte Carlo methods I9m
Monte Carlo methods II15m
Monte Carlo methods III10m
1 Lektüre
Course slides10m
1 praktische Übung
Introduction and general concepts30m
3 Stunden zum Abschließen
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 Stunden zum Abschließen
12 Videos (Gesamt 94 min), 2 Lektüren, 3 Quiz
12 Videos
Concepts of code optimization6m
Concepts of parallelism4m
Palabos, a parallel lattice Boltzmann solver5m
An introduction to Python 36m
Running a Python program6m
Variables and data types11m
Operators8m
Conditional Statements7m
Loops7m
Functions15m
NumPy11m
2 Lektüren
Course slides10m
Dive into python 310m
3 praktische Übungen
Introduction to programming with Python 330m
Project - Piles30m
Project - Class:Integration30m
4 Stunden zum Abschließen
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 Stunden zum Abschließen
9 Videos (Gesamt 92 min), 3 Lektüren, 3 Quiz
9 Videos
The random walk14m
Growth of a population8m
Balance equations I8m
Balance equations II13m
Integration of ordinary differential equations7m
Error of the approximation8m
The implicit Euler scheme11m
Numerical integration of partial differential equations13m
3 Lektüren
Course slides10m
References for numerical analysis10m
A reference for the random walk10m
3 praktische Übungen
Dynamical systems and numerical integration30m
The implicit Euler scheme30m
Project - Lotka-Volterra30m
3 Stunden zum Abschließen
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 Stunden zum Abschließen
7 Videos (Gesamt 108 min), 2 Lektüren, 2 Quiz
7 Videos
Historical background9m
A mathematical abstraction of reality20m
Cellular Automata Models for Traffic13m
Complex systems20m
Lattice-gas models9m
Microdynamics of LGA17m
2 Lektüren
Course slides10m
Notes on the Parity Rule10m
2 praktische Übungen
Cellular Automata30m
Project - The Parity Rule30m
Bewertungen
Top-Bewertungen von SIMULATION AND MODELING OF NATURAL PROCESSES
von SM2. Sep. 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.
von OT30. Juli 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.
von AA11. März 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.
von RM20. Apr. 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)
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