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.
提供方
课程信息
您将学到的内容有
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.
教学大纲 - 您将从这门课程中学到什么
周
1完成时间为 3 小时
Problems for Minds and Machines
This week we will begin our discussions by defining the boundaries and limitations of problems and their solutions.
2 个视频 （总计 55 分钟）, 1 个阅读材料, 2 个测验
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
周
2完成时间为 1 小时
Computers and Logic
This week we will explore adapting problem-solving approaches into computational methods.
2 个视频 （总计 48 分钟）, 1 个测验
1 个练习
Computers and Logic15分钟
周
3完成时间为 3 小时
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.
2 个视频 （总计 50 分钟）, 3 个阅读材料, 2 个测验
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
周
4完成时间为 1 小时
Course Assessment & Wrap-Up Discussion
In this module, you will test your knowledge on methods for solving problems.
2 个测验
2 个练习
Regression to the Mean15分钟
Small Numbers Fallacy10分钟
讲师
David Quigley
Research AssociateCognitive 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.
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