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
9,293 already enrolled
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4.4
(168 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.
Details to know
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Assessments
7 assignments
Taught in English
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This course is part of the Mind and Machine 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
Recommended if you're interested in Algorithms
University of Colorado Boulder
Howard University
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