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Simulation and modeling of natural processes, University of Geneva

4.2
Оценки: 66
Рецензии: 16

Об этом курсе

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....

Лучшие рецензии

автор: EM

Nov 18, 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!

автор: AR

Apr 18, 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.

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Рецензии: 16

автор: GIRISH BALAKRISHNAN

Sep 09, 2018

Very systematic and detailed introduction. Good way to start off into the science of simulation and modelling.

автор: Grabkowiak A.

Jun 19, 2018

This course is very well designed! I find the lessons useful and the evaluation rewarding.

автор: Andrew Everall

May 19, 2018

There are a frustrating number of mistakes in the questions and sometimes in the lecture slides. I think the course gives a good grounding in the types of simulation required for different problems and I like the examples used. I'm not a huge fan of the style of lectures as it's incredibly different to learn from flicking through slides. Lectures where examples are worked through in a more interactive way (such as on white boards) are far more effective for teaching.

автор: Alberto De Marchi

Apr 25, 2018

I am a bit disappointed by the last two weeks, especially week 7, not because of the errors but because they have not been fixed yet. I would say that not all the instructors have put the same effort in giving and preparing their own lectures. Anyway, interesting topics and good introduction to all of them.

автор: 杨名

Apr 25, 2018

Introduce many interesting topics. The Lattice Boltzmann Model is the most challenging one. Implementation examples are demonstrated all through the class and there are chances to experiment and execute the code. However, the projects are already half-finished. Although building the code from scratch is a bit hard, I still think it's a really crucial step.

It would be better if more challenging questions and topics are introduces and there should be more explanations on a more fundamental level. The homework is somewhat ambiguous in some weeks and guessing the REAL meaning of the problem was quite annoying.

автор: Azeddine Rachih

Apr 18, 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.

автор: Siddharth Singh

Apr 12, 2018

The Course is an excellent soft introduction to simulation methods and gives a soft landing to the world of computation. I recommend this course to anyone who is proficient in programming and just needs a logical guide to help build efficient simulation models.

автор: Apurva

Mar 13, 2018

Content is great, it can be made better though,

автор: Anders Albert

Mar 12, 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.

автор: Pedro Pinto Rebelo

Mar 07, 2018

The topics covered in the course are extremely interesting and its a great place to get the fundamentals right. Special mention to the cell automata and the LB method. Although, I feel extra exercises would be needed to further deep the material. Overall, a great course if you are looking to learn fundamentals but exercising what is show is much dependent on your own imitative.