About this Course

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 31시간 필요

권장: 6 hours/week...


자막: 영어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 31시간 필요

권장: 6 hours/week...


자막: 영어

강의 계획 - 이 강좌에서 배울 내용

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....
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
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....
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
Conditional Statements7m
2개의 읽기 자료
Course slides10m
Dive into python 310m
3개 연습문제
Introduction to programming with Python 310m
Project - Piles2m
Project - Class:Integration2m
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....
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
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
완료하는 데 2시간 필요

Lattice Boltzmann modeling of fluid flow

This module provides an introduction to the lattice Boltzmann method, a powerful tool in computational fluid dynamics. The lesson is practice oriented and show, step by step, how to write a program for the lattice Boltzmann method. The program is used to showcase an interesting problem in fluid dynamics, the simulation of a vortex street behind an obstacle....
8 videos (Total 94 min), 1 reading, 4 quizzes
8개의 동영상
Equations and challenges9m
From Lattice Gas to Lattice Boltzmann9m
Macroscopic Variables13m
Collision step: the BGK model12m
Streaming Step8m
Boundary Conditions21m
Flow around an obstacle6m
1개의 읽기 자료
Course slides10m
4개 연습문제
Optional - Equations and challenges2m
Lattice Boltzmann modeling of fluid flow4m
Project - Flow around a cylinder2m
Collision Invariant6m
완료하는 데 2시간 필요

Particles and point-like objects

A short review of classical mechanics, and of numerical methods used to integrate the equations of motions for many interacting particles is presented. The student will learn that the computational expense of resolving all interaction between particles poses a major obstacle to simulating such a system. Specific algorithms are presented to allow to cut down on computational expense, both for short-range and large-range forces. The module focuses in detail on the Barnes-Hut algorithm, a tree algorithm which is popular a popular approach to solve the N-Body problem....
6 videos (Total 86 min), 1 reading, 2 quizzes
6개의 동영상
Newton’s laws of motion, potentials and forces15m
Time-integration of equations of motion10m
The Lennard-Jones potential: Introducing a cut-off distance16m
The n-body problem: Evaluation of gravitational forces21m
Barnes-Hut algorithm: using the quadtree16m
1개의 읽기 자료
Course slides10m
2개 연습문제
Particles and point-like objects6m
Project - Barnes-Hut Galaxy Simulator2m
완료하는 데 1시간 필요

Introduction to Discrete Events Simulation

In this module, we will see an alternative approach to model systems which display a trivial behaviour most of the time, but which may change significantly under a sequence of discrete events. Initially developed to simulate queue theory systems (such as consumer waiting queue), the Discrete Event approach has been apply to a large variety of problems, such as traffic intersection modeling or volcanic hazard predictions....
6 videos (Total 70 min), 1 reading, 2 quizzes
6개의 동영상
Definition of Discrete Events Simulations8m
Optimisation problems11m
Implementation matters9m
Traffic intersection12m
Volcano ballistics19m
1개의 읽기 자료
Course slides10m
2개 연습문제
Introduction to Discrete Event Simulation6m
Project - Simple modelling of traffic lights2m
완료하는 데 2시간 필요

Agent based models

Agent Based Models (ABM) are used to model a complex system by decomposing it in small entities (agents) and by focusing on the relations between agents and with the environment. This approach is derived from artificial intelligence research and is currently used to model various systems such as pedestrian behaviour, social insects, biological cells, etc....
6 videos (Total 71 min), 1 reading, 2 quizzes
6개의 동영상
Multi-Agent systems9m
Implementation of Agent Based Models15m
Ants Corpse clustering16m
Bacteria chemotaxy12m
1개의 읽기 자료
Course slides10m
2개 연습문제
Agent based models6m
Project - Multi-agents model6m
26개의 리뷰Chevron Right

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!



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

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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