课程信息

第 2 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为12 小时

建议:13 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Ascribe human and computational problems to various definitions of difficulty and problem solving techniques.

  • Check

    Use problem solving strategies to break down problems.

  • Check

    Describe the effects of various sources of bias in judgement and decision making.

  • Check

    Analyze and apply heuristic models and probability modeling to a variety of decision making scenarios.

第 2 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

完成时间大约为12 小时

建议:13 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 3 小时

Problems for Minds and Machines

2 个视频 (总计 55 分钟), 1 个阅读材料, 2 个测验
2 个视频
Problems for Minds and Machines31分钟
1 个阅读材料
Recognizing, Defining, and Representing Problems30分钟
2 个练习
Recognizing and Solving Problems10分钟
A Classic Puzzle25分钟
2
完成时间为 1 小时

Computers and Logic

2 个视频 (总计 48 分钟), 1 个测验
2 个视频
Machines and Logic25分钟
1 个练习
Computers and Logic15分钟
3
完成时间为 3 小时

Humans and Heuristics

2 个视频 (总计 50 分钟), 3 个阅读材料, 2 个测验
2 个视频
Heuristics and Biases in Judgment21分钟
3 个阅读材料
Prospect Theory30分钟
Judgment under Uncertainty: Heuristics and Biases30分钟
***Cognitive Bias Bootcamp15分钟
2 个练习
Judgment and Decision Making5分钟
Heuristics and Biases10分钟
4
完成时间为 1 小时

Course Assessment & Wrap-Up Discussion

2 个测验
2 个练习
Regression to the Mean15分钟
Small Numbers Fallacy10分钟

讲师

Avatar

David Quigley

Research Associate
Cognitive Science

关于 科罗拉多大学波德分校

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies....

关于 Mind and Machine 专项课程

This specialization examines the ways in which our current understanding of human thinking is both illuminated and challenged by the evolving techniques and ideas of artificial intelligence and computer science. Our collective understanding of “minds” – both biological and computational – has been revolutionized over the past half-century by themes originating in fields like cognitive psychology, machine learning, neuroscience, evolutionary psychology, and game theory, among others. This specialization focuses on both the larger “historical” arc of these changes as well as current research directions and controversies....
Mind and Machine

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