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
您將學到的內容有
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.
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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.
授課大綱 - 您將從這門課程中學到什麼
Problems for Minds and Machines
This week we will begin our discussions by defining the boundaries and limitations of problems and their solutions.
Computers and Logic
This week we will explore adapting problem-solving approaches into computational methods.
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.
Course Assessment & Wrap-Up Discussion
In this module, you will test your knowledge on methods for solving problems.
審閱
- 5 stars57.48%
- 4 stars30.70%
- 3 stars8.66%
- 2 stars1.57%
- 1 star1.57%
來自METHODS FOR SOLVING PROBLEMS的熱門評論
Fantastic course! Big thanks to the University of Colorado, Boulder.
Some of the resources are broken. Also, there are some quizzes which require revision
it really broaden the way i look and attempt problems
this course give you many tools and new ideas the how to think computationally
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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