The course is a great introduction to the world of modelling and numerical simulation. The material provided is sufficient to get ahold of the different modelling techniques available in the field. During most weeks, the assignments provide examples of real models that really help understanding the concepts explained during the lessons. The scripts provided are clear and easy to handle despite Python is not my preferred language.

I learnt a lot in the course, but, I felt that they expected you to have some sort of programming, math or science related knowledge because some topics where taught superficially but the quizes related to that topic where pretty hard in some cases. Aside from that and the fact some slides had mistakes, I really enjoyed the course, they showed complicated topics in a simple and to the point way, and I always appreciate that.

I feel young again ;)

Some parts of the course covered methods I had last seen in numerical methods courses in the 1980s. Other topics such as the Verlet leapfrog method were new to me, and they made me want to revisit old vispy n-body simulations.

The presentation of Lattice Boltzmann methods improved my understanding of inflow and outflow boundaries. Now I need to fix some bugs in one of my hobby projects...

This course covers a lot of different numerical simulation methods. Considering the length of video lectures, it is hard to go deep with certain details. I definitely recommend my peers to spend their own time to play around with some code. This will help you understand what's going on!

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.

This is a very nice course designed smartly and covering a variety of deterministic and stochastic models. The quizzes have been designed in a way that one has to have a good understanding of the course content as well as Python programming in order to pass.

En general me gusto mucho el curso, aprendí bastante y pude correr una gran cantidad de simulaciones, buenos recursos aplicables.

Los últimos dos módulos necesitan un poco más de explicación como de la revisión de las preguntas de los exámenes.

While the course is only an introduction to the world of Simulation and Modelling, it manages to introduce just enough components to intrigue the learner and spring a curiosity to learn further on their own accord.

The course was really interesting and enlightening. The course gave me further understanding of important concepts I had been exposed to as well as new concepts.

Great content and lots of examples. However, some assignments and quizzes need to be updated, as well as instructions and feedback for wrong answers.

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.

The course was nice and informative. Easily presented. But the last two weeks were difficult to grasp and not well delivered.

There was some problems with the quizes that took the professors some time to correct.

I recommend to put Jupyter Notes in this course. It might come handy in my opinion.

Overall, it is an excellent and well organized multidisciplinary modeling course.

A good overview of various simulation methodologies for diffe

Course content could have been more intense and detailed

Great course in general, learned a lot of things.

Content is great, it can be made better though,

This course is very useful, Thanks!

a bit hard in my opinion.

Very Intersting........

very good course

Très bon cours !

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