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Overall a very good course in terms of covering a broad range of topics. Suitable as a foundation to go onto to do more specialized courses in various parts of modelling. Some of the mathematical and quantitative methods could be better explained with more structured processes and formulae. For the learner that isn't familiar with these methodologies, some specific background reading on how best to approach the math would have been very useful. Having said that, well done to the lecturer and the rest of the staff and course organizers who tried their best to cover what are some quite complicated concepts.

A pesar de que la materia es bellísima y desafiante. Le curso es extremadamente demandante de tiempo. Las evaluaciones son un total de 12 y son muy difíciles. Creo que la evaluaciones tienen una curva de dificulta que no es equivalente a lo visto en clase, lo cual termina provocando frustración y deserción entre los estudiantes.

i would like to see some subtitles in Spanish, to help me understand much better the main idea ! but in generally is so good and helpful!

It is interesting and mind opening during the beginning and the middle of the course. Learned some interesting principle.

Interesting but so boring

As a person who has a fair amount of Computer Science Education especially in the Artificial Intelligence area, I DO NOT recommend this course to someone with a similar background as I do. This course introduces several common models which a typical engineering/science student will encounter in her/his first two years of college study. The professor basically touches every model without much deep insights into how they might be practically applied to everyday choices/decisions. If you really want to Learn some Models, I would recommend the "Machine Learning" course here by Andrew Ng!

There have been some undesirable references to equations, in terms of equating modeling to economic growth and investment. I was interested by the syllabus and its outline of theories and the means to use models to study social sciences and systems sciences. After week 1, though, it was not a very interesting course so I considered trying to simply survey most of the videos to gain some more information, not necessarily for any more insight from the Professor from the University of Michigan.

Expected to understand why things take place. The more I try to understand this material, the less sense it makes. All I see is a person throwing random numbers like these are a logical course of things. Very disappointed.

Interesting topic but poor lecture method. Abandoned the course because lecturer difficult to follow

Mathematical ability and statistics are required for this course.

I​ couldn't get through it, a little tour of wikipedia would be far more enlightening:

-​ The lecturer remarks that application to the real world (and model fertility) are a goal of the course, but spends almost no time talking about real world applications.

-​ A lot of the lectures are getting bogged down in simple math: why do I need to go through look-up table examples for cellular automata?

-​ Lots of mistakes in each lecture, quiz questions are fairly poorly structured (asking who invented a particular model doesn't actually reinforce understanding)

-​ Class structure doesn't seem very thought out. Each category of models has an intro video that gives an overview as-if I were in a 10th grade english class, with 10+ minutes wasted with an overview where we should just jump right in.

T​o be honest, I'm not even very certain the lecturer understands many of the models he's presenting very well.

The videos may be useful for some but are difficult for others to follow (attention, accessibility, and other issues). This, combined with the lack of reading materials available (none) make information - especially the maths component of the course - harder to understand and absorb, given the quick nature and short timeline of the course. Given that the quizzes contain some math problems, it would be more helpful to have reading materials and small exercises to prepare for those quizzes instead of redoing the quiz rendering the learning process poor.

Cons:

-Too dated - links to many of the materials are unavailable.

-Instructors knowledge of some the models he cover is questionable (regression)

Pros:

-Covers a lot of materials

If your first language is not English, you will find it very hard to follow the video as the author talks too fast to understand.

dropped

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