In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.
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課程信息
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Ascribe human and computational problems to various definitions of difficulty and problem solving techniques.
Use problem solving strategies to break down problems.
Describe the effects of various sources of bias in judgement and decision making.
Analyze and apply heuristic models and probability modeling to a variety of decision making scenarios.
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第 2 門課程（共 4 門）
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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
完成時間為 3 小時
Problems for Minds and Machines
This week we will begin our discussions by defining the boundaries and limitations of problems and their solutions.
完成時間為 3 小時
2 個視頻 （總計 55 分鐘）, 1 個閱讀材料, 2 個測驗
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
完成時間為 1 小時
Computers and Logic
This week we will explore adapting problem-solving approaches into computational methods.
完成時間為 1 小時
2 個視頻 （總計 48 分鐘）, 1 個測驗
1 個練習
Computers and Logic15分鐘
完成時間為 3 小時
Humans and Heuristics
This week we will discuss judgment and decision making as a different kind of problem-solving and explore how heuristics are used for these tasks.
完成時間為 3 小時
2 個視頻 （總計 50 分鐘）, 3 個閱讀材料, 2 個測驗
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
完成時間為 1 小時
Course Assessment & Wrap-Up Discussion
In this module, you will test your knowledge on methods for solving problems.
完成時間為 1 小時
2 個測驗
2 個練習
Regression to the Mean15分鐘
Small Numbers Fallacy10分鐘
講師
David Quigley
Research AssociateCognitive 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.
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