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.
Gratis
Acceso gratuito a todas las conferencias, lecturas y tareas
ofrecido por
Simulation and modeling of natural processes
Universidad de GinebraAcerca de este Curso
78,315 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 23 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Aprox. 23 horas para completar
Inglés (English)
Subtítulos: Inglés (English)
ofrecido por
Universidad de Ginebra
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.
Programa - Qué aprenderás en este curso
2 horas para completar
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 horas para completar
7 videos (Total 85 minutos), 1 lectura, 1 cuestionario
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 lectura
Course slides10m
1 ejercicio de práctica
Introduction and general concepts30m
3 horas para completar
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 horas para completar
12 videos (Total 94 minutos), 2 lecturas, 3 cuestionarios
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 lecturas
Course slides10m
Dive into python 310m
3 ejercicios de práctica
Introduction to programming with Python 330m
Project - Piles30m
Project - Class:Integration30m
4 horas para completar
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 horas para completar
9 videos (Total 92 minutos), 3 lecturas, 3 cuestionarios
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 lecturas
Course slides10m
References for numerical analysis10m
A reference for the random walk10m
3 ejercicios de práctica
Dynamical systems and numerical integration30m
The implicit Euler scheme30m
Project - Lotka-Volterra30m
3 horas para completar
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 horas para completar
7 videos (Total 108 minutos), 2 lecturas, 2 cuestionarios
7 videos
Historical background9m
A mathematical abstraction of reality20m
Cellular Automata Models for Traffic13m
Complex systems20m
Lattice-gas models9m
Microdynamics of LGA17m
2 lecturas
Course slides10m
Notes on the Parity Rule10m
2 ejercicios de práctica
Cellular Automata30m
Project - The Parity Rule30m
Revisiones
Principales revisiones sobre SIMULATION AND MODELING OF NATURAL PROCESSES
por AA11 de mar. de 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.
por RM20 de abr. de 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)
por BV17 de jun. de 2020
Great course. Filled with examples and implementation tips and tricks. Worth it just for the knowledge of new types of simulations.
por GB8 de sep. de 2018
Very systematic and detailed introduction. Good way to start off into the science of simulation and modelling.
Preguntas Frecuentes
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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?
You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.
© 2020 Coursera Inc. Todos los derechos reservados.
