学生对 密歇根大学 提供的 模型思维 的评价和反馈

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

Mathematical ability and statistics are required for this course.

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

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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