Introduction to Computational Thinking

Course details

Computational thinking is critical for solving problems and using data effectively in modern society, but what is computational thinking anyway? Computational thinking is really a way to solve problems by specifying detailed, step-by-step solutions to those problems; collecting, representing, and analyzing data to support drawing conclusions or making decisions; and using a variety of techniques to improve the efficiency of our problem solutions. 

This course is designed to help you learn key computational thinking topics and develop your skills in those areas.

Learn About and Develop Computational Thinking Skills

• Algorithms and Procedures
• Data Collection, Representation, and Analysis
• Problem Decomposition
• Abstraction
• Automation
• Simulation
• Parallelization

Contents and Overview

In over 4 1/2 hours of content including 57 lectures, this coursecovers core computational thinking concepts. Four of the lecturesinclude active learning activities integrated into the lectures, andthe course also includes 13 additional exercises and topicunderstanding checks you can use to evaluate and hone yourcomputational thinking skills.

The course includes lots of practice because computationalthinking is a  set of skills that most people need to develop byapplying those skills rather than just hearing someone talk aboutthem!

When you finish the course, you should be able to develop detailedstep-by-step solutions to a variety of problems, think about andinterpret data, and understand how different techniques improveproblem solution efficiency.