Think Again II: How to Reason Deductively

Think Again II: How to Reason Deductively

课程
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8 时
此内容评级为 3.6/5
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  • 来自www.coursera.org
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  • 4 序列
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课程详情

教学大纲

  • Week 1 - Welcome to the Course

    Welcome to Think Again: How to Reason Deductively! This course is the second in a series of four courses jointly titled Think Again: How to Reason and Argue. We are excited that you are taking this course, and we hope that you will stick ar...

  • Week 1 - Propositional Logic and Truth Tables

    CONTENT: This week we will teach you how such phrases as “and”, “or”, “if”, and “not” can work to guarantee the validity or invalidity of the deductive arguments in which they occur. It will also teach you to understand the functioning of these phra...

  • Week 2 - Categorical Logic and Syllogisms

    CONTENT: This week will teach you how such phrases as “all”, “some”, and “none” can work to guarantee the validity or invalidity of the deductive arguments in which they occur. It will also teach you to understand the functioning of these phrases us...

  • Week 3 - Representing Information

    CONTENT: This week we will teach you how to use the tools that you’ve learned about in the preceding modules in order to represent information. Information can be communicated in very different ways – by means of different languages or signaling sys...

  • Week 4 - Catch-Up and Final Quiz

    This week gives you time to catch up and review, because we realize that the previous weeks include a great deal of challenging material. It will also be provide enough time to take the final quiz as often as you want, with different questions each time.

先决条件

没有。

讲师

Dr. Walter Sinnott-Armstrong
Professor
Philosophy

Dr. Ram Neta
Professor
Philosophy

编辑

杜克大学是一所位于北卡罗来纳州达勒姆的北美私立研究型大学。该大学以杜克王朝的名字命名。

虽然该大学直到 1924 年才正式成立(其根源可追溯到 1838 年)。杜克大学经常被称为 "南方的哈佛",是美国南方选拔最严格的大学。

该大学是美国大学协会的成员,自 1900 年以来,该协会一直将北美的精英研究型大学聚集在一起。

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。

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