Computational thinking course with Coach

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Free
About the Course

The goal of this course is to help educators learn about computational thinking (CT), how it differs from computer science, and how it can be integrated into a variety of subject areas. As a course participant, you will increase your awareness of CT, explore examples of CT integrated into your subject areas, experiment with examples of CT-integrated activities for your subject areas, and create a plan to integrate CT into your own curricula.

The course is divided into five units, each focusing on the following:

  • Introducing Computational Thinking: What is CT? – What is computational thinking, where does it occur, why should you care, and how is it being applied?
  • Exploring Algorithms – Walk through examples of algorithms used in your subject area. Recognize why algorithms are powerful tools to increase what you can do and that technology can be useful for implementing and automating algorithms.
  • Finding Patterns – Explore examples of patterns in various subjects and develop your own processes for approaching a problem through pattern recognition.
  • Developing Algorithms – Increase your confidence in applying the computational process to a given problem and recognize how algorithms can articulate a process or rule.
  • Final Project: Applying Computational Thinking – Create a statement of how computational thinking applies to your subject area and a plan to integrate it into your work and classroom.
What:A free online course helping educators integrate computational thinking into their curriculum
Who:Humanities, Math, Science, and Computing educators
When:All of the course materials are available as a self-study program.

Capsule Features

  • Lectures 25
  • Quizzes 0
  • Duration 50 hours
  • Skill level All levels
  • Language English
  • Clients 0
  • Certificate No
  • Assessments Yes
  • Introducing Computational Thinking 0/2

    • Lecture1.1
      What is Computational Thinking? 30 min
    • Lecture1.2
      How the Course Works 30 min
  • Exploring Algorithms 0/6

    • Lecture2.1
      Overview 30 min
    • Lecture2.2
      CS: Traveling 30 min
    • Lecture2.3
      Humanities: Words Over Time 30 min
    • Lecture2.4
      Math: Cellular Automata 30 min
    • Lecture2.5
      Science: Genomics 30 min
    • Lecture2.6
      Lesson 30 min
  • Finding Patterns 0/6

    • Lecture3.1
      Overview 30 min
    • Lecture3.2
      CS: Data Compression 30 min
    • Lecture3.3
      Humanities: Music 30 min
    • Lecture3.4
      Math: Turtle Geometry 30 min
    • Lecture3.5
      Science: Classifying 30 min
    • Lecture3.6
      Lesson 30 min
  • Developing Algorithms 0/6

    • Lecture4.1
      Overview 30 min
    • Lecture4.2
      CS: Towers 30 min
    • Lecture4.3
      Humanities: Chatbot 30 min
    • Lecture4.4
      Math: Calculator 30 min
    • Lecture4.5
      Science: Bouncing Ball 30 min
    • Lecture4.6
      Lesson 30 min
  • Applying Computational Thinking 0/5

    • Lecture5.1
      Project Overview 30 min
    • Lecture5.2
      Project, Part I 30 min
    • Lecture5.3
      Project, Part II 30 min
    • Lecture5.4
      Conclusion 30 min
    • Lecture5.5
      Final Survey 30 min

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