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.
Methods for Solving Problems
Methods for Solving Problems
This course is part of Mind and Machine Specialization
Instructor: David Quigley
Sponsored by Coursera Learning Team
9,669 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(179 reviews)
Beginner level
No prior experience required
6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 assignments
Taught in English
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This course is part of the Mind and Machine Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
This week we will begin our discussions by defining the boundaries and limitations of problems and their solutions.
What's included
2 videos1 reading2 assignments2 discussion prompts
This week we will explore adapting problem-solving approaches into computational methods.
What's included
2 videos1 assignment1 discussion prompt
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.
What's included
2 videos3 readings2 assignments1 discussion prompt
In this module, you will test your knowledge on methods for solving problems.
What's included
2 assignments1 discussion prompt
Instructor
Instructor ratings
4.8 (31 ratings)Offered by
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4.5
179 reviews
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6.70%
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Showing 3 of 179
CN
5
Reviewed on Dec 3, 2020
Fantastic course! Big thanks to the University of Colorado, Boulder.
AM
4
Reviewed on Aug 29, 2020
Some of the resources are broken. Also, there are some quizzes which require revision
AS
5
Reviewed on Jul 3, 2020
it really broaden the way i look and attempt problems
Recommended if you're interested in Computer Science
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