Informações sobre o curso
4.3
64 classificações
16 avaliações
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....
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Prazos flexíveis

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Sugerido: 6 hours/week

Aprox. 29 horas restantes
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English

Legendas: English
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Clock

Sugerido: 6 hours/week

Aprox. 29 horas restantes
Comment Dots

English

Legendas: English

Programa - O que você aprenderá com este curso

1

Seção
Clock
2 horas para concluir

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....
Reading
7 vídeos (Total de 85 min), 1 leitura, 1 teste
Video7 videos
Modeling and Simulation13min
Modeling Space and Time15min
Example of bio-medical Modeling9min
Monte Carlo methods I9min
Monte Carlo methods II15min
Monte Carlo methods III10min
Reading1 leituras
Course slides10min
Quiz1 exercício prático
Introduction and general concepts8min

2

Seção
Clock
2 horas para concluir

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....
Reading
12 vídeos (Total de 94 min), 2 leituras, 3 testes
Video12 videos
Concepts of code optimization6min
Concepts of parallelism4min
Palabos, a parallel lattice Boltzmann solver5min
An introduction to Python 36min
Running a Python program6min
Variables and data types11min
Operators8min
Conditional Statements7min
Loops7min
Functions15min
NumPy11min
Reading2 leituras
Course slides10min
Dive into python 310min
Quiz3 exercícios práticos
Introduction to programming with Python 310min
Project - Piles2min
Project - Class:Integration2min

3

Seção
Clock
3 horas para concluir

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....
Reading
9 vídeos (Total de 92 min), 3 leituras, 3 testes
Video9 videos
The random walk14min
Growth of a population8min
Balance equations I8min
Balance equations II13min
Integration of ordinary differential equations7min
Error of the approximation8min
The implicit Euler scheme11min
Numerical integration of partial differential equations13min
Reading3 leituras
Course slides10min
References for numerical analysis10min
A reference for the random walk10min
Quiz3 exercícios práticos
Dynamical systems and numerical integration8min
The implicit Euler scheme18min
Project - Lotka-Volterra8min

4

Seção
Clock
2 horas para concluir

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....
Reading
7 vídeos (Total de 108 min), 2 leituras, 2 testes
Video7 videos
Historical background9min
A mathematical abstraction of reality20min
Cellular Automata Models for Traffic13min
Complex systems20min
Lattice-gas models9min
Microdynamics of LGA17min
Reading2 leituras
Course slides10min
Notes on the Parity Rule10min
Quiz2 exercícios práticos
Cellular Automata8min
Project - The Parity Rule6min
4.3

Melhores avaliações

por EMNov 18th 2017

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!

por ARApr 18th 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.

Instrutores

Bastien Chopard

Full Professor
Computer Science

Jean-Luc Falcone

Research Associate
Computer Science

Jonas Latt

Senior Lecturer
Computer Science

Orestis Malaspinas

Research Associate
Computer Science Department

Sobre 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....

Perguntas Frequentes – FAQ

  • 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.

  • 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.

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