Methods for Solving Problems

This course is part of Mind and Machine Specialization

Instructor: David Quigley

What you'll learn

  •   Ascribe human and computational problems to various definitions of difficulty and problem solving techniques.
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  •   Use problem solving strategies to break down problems.
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  •   Describe the effects of various sources of bias in judgement and decision making.
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  •   Analyze and apply heuristic models and probability modeling to a variety of decision making scenarios.
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    • Skills you'll gain

  •   Analytical Skills
  •   Algorithms
  •   Probability Distribution
  •   Problem Solving
  •   Computational Thinking
  •   Psychology
  •   Behavioral Economics
  •   Logical Reasoning

    • There are 4 modules in this course

    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.

    Computers and Logic

    Humans and Heuristics

    Course Assessment & Wrap-Up Discussion

    Explore more from Algorithms

    Problem-Solving

    Algorithmic Solutions: Design, Problem Solving, Reporting

    Data Structures & Algos: Software Development Skills

    Algorithmic Toolbox

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