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Bewertung und Feedback des Lernenden für Simulation and modeling of natural processes von Universität von Genf

293 Bewertungen
87 Bewertungen

Über den Kurs

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....


4. Apr. 2021

Great course, it presents mathematical models and implementations to simulate behaviors of natural systems with the right level of difficulty. It offer awesome insights to solve and optimize code.

17. Apr. 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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1 - 25 von 86 Bewertungen für Simulation and modeling of natural processes

von Qingfeng L

18. Feb. 2019

I really doubt about whether those lectures have carefully prepared this course or not.

First, there are several typos in the slides.

Second, sometimes the logical connections from one section to another section is weak. I can understand the content of each section, but when I ask myself why they introduce this section... I lost...

von Martin B

24. Juli 2019

Very poor presentation of the course.

von Luigi N

12. Mai 2020

This is one of the worst courses I have ever attended. The topics are interesting, but not well explained. The lecturers do not teach during the lessons a lot of things, missing essential steps are missing, and the student realizes this in the moment of the assignments. Furthermore, there is no assistance, in the forum, thanks to some brilliant contribution, the student learns a lot, and this should not be the case. The code many times, present problems so that when executed, it does not work and the support offered by other learners in the forum is vital. I would recommend not taking this course or updating it, making it better. I realized halfway through, but I wanted to finish just to finish something that I started. It is deplorable that courses like this one are still around.

von Persistent L

2. Mai 2020

This is a wonderful, industrially very relevant subject. The course content is good; except that the delivery is very lousy. It is apparent that the faculy are not native speakers of english. They seem like they make up their sentences in their native language and then translate it in their minds to english and then speak. This results in annoying time lag from sentence to sentece, due to which it is more challenging to conceptrate on the topic. When they are not taking this path, they are reading the slides, without much sights are explanations.

Some questions were very difficult to understand because the translation was bad. Again, first thought in or even written out in another language and translated to english with some essentials lost in translation.

All in all it was a disappointing course for me.

von Ruedi G

19. Dez. 2018

Moocs are valid if they involve better than average teachers. The current teachers do not fulfill this criterium. In particular, some of them have very poor diction and knowledge of the English language. The texts in the quizzes have elementary language mistakes. It would not have been too much effort to at least have them checked by a native speaker.

von Simon C

17. Jan. 2018

Much of the content is excellent. I think the introductory lectures were good for someone who hasn't studied the topic before, and I found weeks 4-6 to be very valuable. Some other parts were not so strong: lectures on Discrete Event Simulation introduced data structure that weren't explained well, e.g. Calendar Queues. On the whole, a competent first course.

Lectures were presented professionally. Participation in the forums was patchy, compared to some other Coursera courses. There doesn't seem to be evidence of Mentors/TAs getting involved when students are stuck.

I would have liked to have had more reference material for those who wish to follow up topics further.

von Johannes W

6. Jan. 2019

Nice introduction in various topics. Further studying is required to use any of the topics in a practical way, but it helps to get started looking for more advanced literature.

Unfotunately I found the Quizes and Projects of little help to further understand or deepen any of the material. They are way to easy to solve and, in my opinion, mostly do not require a good understanding of the material to solve.

I would recommend to watch the videos and skip the quizzes.

von Sean B

4. Sep. 2019

Overall a good course, but looking through the forums I see that plenty of other learners were confused and frustrated about the same problems I encountered. There are too many unresolved questions and errors.

Before you enroll in this course I recommend enrolling in "Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python". It's more introductory than this course, but it gives a solid foundation of simulation and Python.

von Lucas J

7. März 2019

Not enough challenging problems. Too many poor quality videos. The presenters didn't care, couldn't speak english, or were too shallow. Too many typos, and errors.

von Zhixia L

10. Nov. 2017

Some slides have mistakes, please review it!

Some quizzes have wrong answers, please correct them, they are confusing!

Some instructors made mistakes in the video, why not record it again?

von Girish S

28. Sep. 2019

Extremely good course with excellent python codes for interesting applications

von ffpffp

11. März 2020

If you paid for the course, sorry you might find it below your expectations. However, regardless of all the language issues, errors in slides and quiz, lacking of instructor interaction, you might still be available to learn something. Take good use of the slides and make sure that you have completed all the projects. Refer to the discussion forum in case that you encounter any challenge.

von Kiril K

18. Aug. 2019

Poor presentation of the course.

von Gopalakrishna R R

30. Apr. 2019

A very good coverage of the range of computational modelling techniques available. The lectures were both interesting and informative, and the quizzes and coding exercises well designed to facilitate learning. My thanks to the lecturers and researchers at the University of Geneva and associated organizations for developing an excellent course.

von Diego F V M

5. Apr. 2021

Great course, it presents mathematical models and implementations to simulate behaviors of natural systems with the right level of difficulty. It offer awesome insights to solve and optimize code.

von Joris R

6. Dez. 2019

In my opinion some of the exercises were testing computing rather than understanding. I would have liked to work on completing the codes of the simulation models. The examples that were discussed are very appealing and interesting. Overall level of content is very good, good explanations and goo level of difficulty in the content

von Alberto D M

25. Apr. 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.

von Ulrike H

30. Jan. 2019

Overall, it is a very good class in which one gets a broad overview of modeling and simulation of processes. Very recommendable! I drop a star, because some lecturers don't have a fluent language and therefore it is sometimes difficult to follow the content (e.g. using many filler words).


22. Apr. 2020

It is good course.I learned so many models and simulations processes in natural things and our surroundings.This gives you best impact on your computing skill.thankyou coursera for this opportunity to study this 😊

von Franklin A

5. Okt. 2019

More reading materials need to be uploaded onto the website because it becomes difficult to complete assignments without any prior knowledge. Aside that, the course is great and be educational. Thanks a lot

von Кузьмич В А

8. Feb. 2020

I get really good base knowledge in modelling and simulation. But, this course would be better, if more tests and exercises about algorithm implementation were.

von Rihouey M

21. Apr. 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)


9. Sep. 2018

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

von 杨名

25. Apr. 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.

von M

1. Feb. 2021

Pretty good introduction to the various techniques in scientific modeling but could have been done better. Might be too difficult for people who do not have a solid background in vector calculus, algorithms, and programming. Yet if you already have such a background, you are probably already familiar with most of the material covered, as the models discussed in this course are all toy/classroom examples given during a typical undergrad treatment of these CS/Math topics.