I really enjoyed this course. This course has motivated me to learn more computational tools to apply in any field of sciences. It was thoroughly designed and challenging.
Great course. Filled with examples and implementation tips and tricks. Worth it just for the knowledge of new types of simulations.
par Qingfeng L•
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...
par Martin B•
Very poor presentation of the course.
par Persistent L•
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.
par Luigi N•
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.
par Simon C•
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.
par Johannes W•
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.
par Lucas J•
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.
par Ruedi G•
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.
par Sean B•
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.
par Zhixia L•
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?
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.
par Kiril K•
Poor presentation of the course.
par Gopalakrishna R R•
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.
par Girish S•
Extremely good course with excellent python codes for interesting applications
par Joris R•
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
par Alberto D M•
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.
par Ulrike H•
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).
par MOHAMMED R M•
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 😊
par Franklin A•
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
par Кузьмич В А•
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.
par Rihouey M•
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)
par GIRISH B•
Very systematic and detailed introduction. Good way to start off into the science of simulation and modelling.
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.
par Andrew E•
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.
par Pedro P R•
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.