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Methods for Solving Problems
  • Level Foundation
  • Duration 7 hours
  • Course by University of Colorado Boulder
  • Offered by

About

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.

Modules

Recognizing Problems and Problem Solving Methods

    • 2 Videos
    • 1 Readings
    • 2 Discussion
    • 2 Assignment
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2 Assignment

  • Recognizing and Solving Problems
  • A Classic Puzzle

2 Discussions

  • Your Problem Solving Methods
  • SEND MORE MONEY Discussion

2 Videos

  • Solving Problems
  • Problems for Minds and Machines

1 Readings

  • Recognizing, Defining, and Representing Problems

Understanding the Difficulty of Problems

    • 2 Videos
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Computers and Logic

1 Discussions

  • Propositional Logic

2 Videos

  • Hard Problems for Computers
  • Machines and Logic

Judgment and Decision Making

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Judgment and Decision Making

1 Videos

  • Judgment and Decision Making

1 Readings

  • Prospect Theory

Heuristics and Biases

    • 1 Videos
    • 2 Readings
    • 1 Discussion
    • 1 Assignment
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1 Assignment

  • Heuristics and Biases

1 Discussions

  • Confirmshaming

1 Videos

  • Heuristics and Biases in Judgment

2 Readings

  • Judgment under Uncertainty: Heuristics and Biases
  • ***Cognitive Bias Bootcamp

Discussion Prompt

    • 1 Discussion
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1 Discussions

  • Small Numbers Fallacy

Quizzes

    • 2 Assignment
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2 Assignment

  • Regression to the Mean
  • Small Numbers Fallacy

Auto Summary

"Methods for Solving Problems" is an engaging and foundational course in the domain of Data Science & AI, offered by Coursera. This course delves into the various types of problems encountered in the field, examining the limits of solvability and the diverse algorithms, rules, and heuristics available for problem-solving. With a comprehensive duration of 420 minutes, it provides a thorough exploration suited to beginners. Learners can access the course through the Starter subscription plan. This course is ideal for individuals looking to build a solid foundation in problem-solving techniques within Data Science and AI, guided by expert instruction.

David Quigley
Instructor

David Quigley