oferecido por

University of Geneva

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....

Comece imediatamente e aprenda em seu próprio cronograma.

Redefinir os prazos de acordo com sua programação.

Aprox. 29 horas restantes

Legendas: English

Comece imediatamente e aprenda em seu próprio cronograma.

Redefinir os prazos de acordo com sua programação.

Aprox. 29 horas restantes

Legendas: English

Seção

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....

7 vídeos (Total de 85 min), 1 leitura, 1 teste

Modeling and Simulation13min

Modeling Space and Time15min

Example of bio-medical Modeling9min

Monte Carlo methods I9min

Monte Carlo methods II15min

Monte Carlo methods III10min

Course slides10min

Introduction and general concepts8min

Seção

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....

12 vídeos (Total de 94 min), 2 leituras, 3 testes

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

Course slides10min

Dive into python 310min

Introduction to programming with Python 310min

Project - Piles2min

Project - Class:Integration2min

Seção

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....

9 vídeos (Total de 92 min), 3 leituras, 3 testes

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

Course slides10min

References for numerical analysis10min

A reference for the random walk10min

Dynamical systems and numerical integration8min

The implicit Euler scheme18min

Project - Lotka-Volterra8min

Seção

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....

7 vídeos (Total de 108 min), 2 leituras, 2 testes

Historical background9min

A mathematical abstraction of reality20min

Cellular Automata Models for Traffic13min

Complex systems20min

Lattice-gas models9min

Microdynamics of LGA17min

Course slides10min

Notes on the Parity Rule10min

Cellular Automata8min

Project - The Parity Rule6min

4.3

por EM•Nov 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 AR•Apr 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.

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....

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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