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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What You Will 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.
Course 2 of 4 in the Mind and Machine Specialization.
Syllabus
WEEK 1
Problems for Minds and Machines
This week we will begin our discussions by defining the boundaries and limitations of problems and their solutions.
WEEK 2
Computers and Logic
This week we will explore adapting problem-solving approaches into computational methods.
WEEK 3
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.
WEEK 4
Course Assessment & Wrap-Up Discussion
In this module, you will test your knowledge on methods for solving problems.
