- 来自www.coursera.org
Mindware: Critical Thinking for the Information Age
课程
en
英语
Subtitles available
12 时
此内容评级为 0/5
- 自定进度
- 免费获取
- 收费证书
- 4 序列
- 等级 介绍
- 字幕在 German, English, Spanish, French, Portuguese, Russian
课程详情
教学大纲
- Week 1 - Introduction
Individuals and cultures can make themselves smarter. Since the beginning of the Industrial Revolution, people have become enormously smarter. The Information Age requires a brand-new set of skills involving statistics, probability, cost-benefit analysis, prin... - Week 1 - Lesson 1: Statistics
Basic concepts of statistics and probability including the concepts of variable, normal distribution, standard deviation, correlation, reliability, validity, and effect size. Concrete examples are drawn from everyday life and show how the concepts can be used ... - Week 1 - Lesson 2: The Law of Large Numbers
How to think about events in such a way that they can be counted and a decision can be made about how much data is enough. You will learn about the concept of error variance and how it can be combatted by obtaining multiple observations. Your will learn that y... - Week 2 - Lesson 3: Correlation
It can be extremely difficult to make an accurate assessment of how two variables are related to one another; prior beliefs can be more important than data in estimating the strength of a given relationship. You will learn simple tools to estimate degree of as... - Week 2 - Lesson 4: Experiments
You will learn that correlations can only rarely provide conclusive evidence about whether one variable exerts a causal influence on another and why experiments provide far better evidence about causality than correlations. You will be shown how to conduct exp... - Week 3 - Lesson 5: Prediction
You will learn about the kinds of systematic errors we make when trying to predict the future. You will learn about regression to the mean and why you should assume that extreme values on a variable will be less extreme when next observed. You will learn how t... - Week 3 - Lesson 6: Cognitive Biases
We understand the world not through direct perception but through inferential procedures that we are unaware of. Our understanding of the world is heavily influenced by schemas or abstract representations of events. We are prone to serious judgment errors that... - Week 4 - Lesson 7: Choosing and Deciding
How to conduct a cost-benefit analysis. Why you should throw the analysis away after doing it if the decision is personal and very important. How to avoid throwing good money after bad. How to avoid doing something that will prevent you from doing something mo... - Week 4 - Lesson 8: Logic and Dialectical Reasoning
The distinction between inductive logic and deductive logic. Syllogisms. Conditional reasoning. The distinction between truth of an argument and validity of an argument. The concepts of necessity and sufficiency. Venn diagrams. Common logical errors. When to a... - Week 4 - Conclusion
先决条件
没有。
讲师
Richard E. Nisbett
Theodore M. Newcomb Distinguished University Professor
Department of Psychology
编辑
密歇根大学（UM，UMich 或简称密歇根）是一所公立研究型大学，位于美国密歇根州安阿伯市。该大学成立于 1817 年，是密歇根州历史最悠久、规模最大的大学。
密歇根大学的使命是为密歇根州和全世界人民服务，在创造、交流、保存和应用学术知识、艺术和价值观方面发挥领导作用，培养挑战现在和丰富未来的领导者和公民。
平台
Coursera是一家数字公司，提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作，在线提供一些课程，并提供许多科目的课程，包括：物理，工程，人文，医学，生物学，社会科学，数学，商业，计算机科学，数字营销，数据科学 和其他科目。
此内容评级为 4.5/5
(没有评论)此内容评级为 4.5/5
(没有评论)完成这个资源，写一篇评论