學生對 西奈山伊坎医学院 提供的 系统生物学的动力学建模方法 的評價和反饋

A+. Great course, easy to follow, and amazing instructor. Thank you Eric!

I liked it a lot!

great

T

Probably the best course in this overall very nice specialization

This is a amazing course. I've learned a lot and all the knowledge will be usable to me in my work.

very clear explanation of ordinary differential equations

The first week on MATLAB was a great refresher since I hadn't used MATLAB in a few years

This is a very useful and well dessigned general course.

It was exactly what I was looking for.

Great course with very good explanations!

New to systems biology and I am really impressed with the clear explanations. Currently, on week 4 but aiming to finish to the end. Thanks to the dude who made it! :) #lifesaver

Easy to follow up and clear lectures to understand dynamical modeling methods

good

terrific！

Great course

Great course. Well taught and very useful.

everything explained in very easy to understand way. the assignments were designed quite well- not only to test the knowledge acquired but the assignment results were designed in such a way that they will be useful in modeling.

This is a great course.

Very clear and well constructed.

Very interesting course: I'm a Computer Engineer and I found very interesting the lessons about bistability and about stochastic modelling.

Eric Sobie va muy rápido, el cambio entre diapositivas no tiene una pausa y continua de corrido, es por ello que en algunas ocasiones repetía o erraba la idea que continuaba. Personalmente, tuve que pausar muchas veces los videos para deternerme a analizar lo que Eric decía.En cuanto al contenido del curso, me pareció fantástico, topando hitos históricos de modelos matemáticos en Sistemas Biológicos y manipulando el código en MATLAB por nuestra propia cuenta.

it's quite very interesting

Very informative course with good exercises. Would recommend having PDE example code, as well.

Good

Lots of good parts to the course. Found the ODE examples very useful. Feel like it tailed off at the end in terms of detail and utility. Also, it seemed less adapted to the format than other courses such as Machine Learning by Andrew Ng and Computational Neuroscience by Rajesh Rao.