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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.

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.

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

The teacher's use of crutch words like sort of, like, and you know was distracting. Count how many times he says sort of! It's ironic for a university professor. But this is the United States, the land of substandard education - where everyone is special and receives a medal for participation.

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

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