About this Course
최근 조회 13,342

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 32시간 필요

권장: 6 hours/week...

영어

자막: 영어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 32시간 필요

권장: 6 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

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.

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7 videos (Total 85 min), 1 reading, 1 quiz
7개의 동영상
Modeling and Simulation13m
Modeling Space and Time15m
Example of bio-medical Modeling9m
Monte Carlo methods I9m
Monte Carlo methods II15m
Monte Carlo methods III10m
1개의 읽기 자료
Course slides10m
1개 연습문제
Introduction and general concepts8m
2
완료하는 데 2시간 필요

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.

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12 videos (Total 94 min), 2 readings, 3 quizzes
12개의 동영상
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
2개의 읽기 자료
Course slides10m
Dive into python 310m
3개 연습문제
Introduction to programming with Python 310m
Project - Piles2m
Project - Class:Integration2m
3
완료하는 데 3시간 필요

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.

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9 videos (Total 92 min), 3 readings, 3 quizzes
9개의 동영상
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
3개의 읽기 자료
Course slides10m
References for numerical analysis10m
A reference for the random walk10m
3개 연습문제
Dynamical systems and numerical integration8m
The implicit Euler scheme18m
Project - Lotka-Volterra8m
4
완료하는 데 2시간 필요

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.

...
7 videos (Total 108 min), 2 readings, 2 quizzes
7개의 동영상
Historical background9m
A mathematical abstraction of reality20m
Cellular Automata Models for Traffic13m
Complex systems20m
Lattice-gas models9m
Microdynamics of LGA17m
2개의 읽기 자료
Course slides10m
Notes on the Parity Rule10m
2개 연습문제
Cellular Automata8m
Project - The Parity Rule6m
4.2
26개의 리뷰Chevron Right

Simulation and modeling of natural processes의 최상위 리뷰

대학: 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!

강사

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Bastien Chopard

Full Professor
Computer Science
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Jean-Luc Falcone

Research Associate
Computer Science
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Jonas Latt

Senior Lecturer
Computer Science
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Orestis Malaspinas

Research Associate
Computer Science Department

제네바대학교 정보

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....

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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