Methods for Solving Problems

  • 4.4
Approx. 7 hours to complete

Course Summary

Explore the intersection of human cognition and artificial intelligence in this course. Learn how to solve complex problems using a variety of methods and tools.

Key Learning Points

  • Understand the cognitive processes involved in problem-solving
  • Learn how to use artificial intelligence tools to solve problems
  • Develop critical thinking and analytical skills

Related Topics for further study


Learning Outcomes

  • Develop problem-solving skills using a variety of methods and tools
  • Understand the cognitive processes involved in problem-solving
  • Apply artificial intelligence tools to solve complex problems

Prerequisites or good to have knowledge before taking this course

  • Basic understanding of programming concepts
  • Familiarity with mathematical concepts like probability and statistics

Course Difficulty Level

Intermediate

Course Format

  • Online
  • Self-Paced
  • Video Lectures
  • Quizzes

Similar Courses

  • Introduction to Cognitive Science
  • Artificial Intelligence for Everyone

Related Education Paths


Notable People in This Field

  • CEO of SpaceX and Tesla
  • CEO of DeepMind

Related Books

Description

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.

Knowledge

  • 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.

Outline

  • Problems for Minds and Machines
  • Solving Problems
  • Problems for Minds and Machines
  • Recognizing, Defining, and Representing Problems
  • Recognizing and Solving Problems
  • A Classic Puzzle
  • Computers and Logic
  • Hard Problems for Computers
  • Machines and Logic
  • Computers and Logic
  • Humans and Heuristics
  • Judgment and Decision Making
  • Heuristics and Biases in Judgment
  • Prospect Theory
  • Judgment under Uncertainty: Heuristics and Biases
  • ***Cognitive Bias Bootcamp
  • Judgment and Decision Making
  • Heuristics and Biases
  • Course Assessment & Wrap-Up Discussion
  • Regression to the Mean
  • Small Numbers Fallacy

Summary of User Reviews

Learn problem-solving methods for tackling complex challenges in a rapidly changing world with Mind and Machine. Students rave about the course's comprehensive coverage of problem-solving methods and the engaging teaching style of the instructors.

Key Aspect Users Liked About This Course

Comprehensive coverage of problem-solving methods

Pros from User Reviews

  • Engaging teaching style of instructors
  • Course materials are easy to understand
  • Real-world examples and case studies
  • Interactive and collaborative learning environment
  • Flexible schedule and self-paced learning

Cons from User Reviews

  • Some technical issues with the platform
  • Limited opportunities for personalized feedback
  • Some topics are not covered in enough depth
  • Not suitable for those without a background in problem-solving
  • Some assignments can be time-consuming
English
Available now
Approx. 7 hours to complete
David Quigley
University of Colorado Boulder
Coursera

Instructor

David Quigley

  • 4.4 Raiting
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