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Kursteilnehmer-Bewertung und -Feedback für Model Thinking von University of Michigan

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1,715 Bewertungen
370 Bewertungen

Über den Kurs

We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians. The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!...

Top-Bewertungen

GK

Feb 25, 2017

Great content and lectures, that possibly provides new dimensions to look/explain the situation in context, I guess I will comeback for references to continue with this journey in to 'Model Thinking'

YK

Apr 07, 2018

The course presents a multitude of models that enable us to analyze human and systems behavior and interactions. By making implicit assumptions explicit we can understand real world processes better.

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351 - 361 von 361 Bewertungen für Model Thinking

von Ratheesh P

Jan 14, 2016

Excellent

von zhangmutanxi

Mar 21, 2016

great

von Mahmudul H

Jun 28, 2018

good

von Luiz C d P W F

Apr 04, 2017

Ver

von Adem A

Sep 06, 2016

T

von Nick M W

Mar 07, 2016

S

von Milady M

Mar 07, 2017

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!

von Hoong W L

Oct 24, 2016

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

von Eli M

Mar 14, 2016

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.

von Deleted A

May 04, 2020

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.

von Ryan K

Feb 14, 2017

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