課程信息

第 2 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為12 小時

建議:13 hours/week...

英語(English)

字幕:英語(English)

您將學到的內容有

  • 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 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為12 小時

建議:13 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

Problems for Minds and Machines

2 個視頻 (總計 55 分鐘), 1 個閱讀材料, 2 個測驗
2 個視頻
Problems for Minds and Machines31分鐘
1 個閱讀材料
Recognizing, Defining, and Representing Problems30分鐘
2 個練習
Recognizing and Solving Problems10分鐘
A Classic Puzzle25分鐘
2
完成時間為 1 小時

Computers and Logic

2 個視頻 (總計 48 分鐘), 1 個測驗
2 個視頻
Machines and Logic25分鐘
1 個練習
Computers and Logic15分鐘
3
完成時間為 3 小時

Humans and Heuristics

2 個視頻 (總計 50 分鐘), 3 個閱讀材料, 2 個測驗
2 個視頻
Heuristics and Biases in Judgment21分鐘
3 個閱讀材料
Prospect Theory30分鐘
Judgment under Uncertainty: Heuristics and Biases30分鐘
***Cognitive Bias Bootcamp15分鐘
2 個練習
Judgment and Decision Making5分鐘
Heuristics and Biases10分鐘
4
完成時間為 1 小時

Course Assessment & Wrap-Up Discussion

2 個測驗
2 個練習
Regression to the Mean15分鐘
Small Numbers Fallacy10分鐘

講師

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David Quigley

Research Associate
Cognitive Science

關於 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....

關於 Mind and Machine 專項課程

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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