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Introduction to Computational Thinking

Personal Development

Rating4.5
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Introduction to Computational Thinking, available at $44.99, has an average rating of 4.45, with 59 lectures, based on 117 reviews, and has 578 subscribers.

You will learn about Develop detailed step-by-step solutions to problems, think about and interpret data, and understand how different techniques improve problem solution efficiency This course is ideal for individuals who are Someone who wants to improve their attention to detail as they solve problems or Someone who wants to better understand how they can use and interpret data or Someone who's curious about how computation affects problem solutions in society It is particularly useful for Someone who wants to improve their attention to detail as they solve problems or Someone who wants to better understand how they can use and interpret data or Someone who's curious about how computation affects problem solutions in society.

Enroll now: Introduction to Computational Thinking

Summary

Title: Introduction to Computational Thinking

Price: $44.99

Average Rating: 4.45

Number of Lectures: 59

Number of Published Lectures: 59

Number of Curriculum Items: 59

Number of Published Curriculum Objects: 59

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Develop detailed step-by-step solutions to problems, think about and interpret data, and understand how different techniques improve problem solution efficiency

Who Should Attend

  • Someone who wants to improve their attention to detail as they solve problems
  • Someone who wants to better understand how they can use and interpret data
  • Someone who's curious about how computation affects problem solutions in society

Target Audiences

  • Someone who wants to improve their attention to detail as they solve problems
  • Someone who wants to better understand how they can use and interpret data
  • Someone who's curious about how computation affects problem solutions in society

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 course
covers core computational thinking concepts. Four of the lectures
include active learning activities integrated into the lectures, and
the course also includes 13 additional exercises and topic
understanding checks you can use to evaluate and hone your
computational thinking skills.

The course includes lots of practice because computational
thinking is a  set of skills that most people need to develop by
applying those skills rather than just hearing someone talk about
them!

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Introduction

Lecture 2: Navigating a Udemy Course

Lecture 3: Meet the Instructor

Chapter 2: Fun With Algorithms

Lecture 1: Section Introduction

Lecture 2: Find the Queen

Lecture 3: Nom Nom Nom

Chapter 3: Data Collection

Lecture 1: Section Introduction

Lecture 2: Data Collection Problems

Lecture 3: Deciding What Data to Collect

Lecture 4: Finding the Data

Lecture 5: Storing the Collected Data

Lecture 6: Data Collection Activity

Chapter 4: Algorithms and Procedures

Lecture 1: Section Introduction

Lecture 2: How Do I Get There?

Lecture 3: The Caesar Cipher

Chapter 5: Data Analysis

Lecture 1: Section Introduction

Lecture 2: Mean and Standard Deviation Part 1

Lecture 3: Mean and Standard Deviation Part 2

Lecture 4: Fictional Drug Trials

Lecture 5: Continuous vs Discrete Data

Lecture 6: Spelling Errors

Chapter 6: Data Representation

Lecture 1: Section Introduction

Lecture 2: Histograms

Lecture 3: Bar Charts

Lecture 4: Line Graphs

Lecture 5: Pie Charts

Lecture 6: Scatterplots

Lecture 7: Super Cool Representations

Chapter 7: Problem Decomposition

Lecture 1: Section Introduction

Lecture 2: Going Green

Lecture 3: Building a Chair

Lecture 4: Designing a Car

Chapter 8: Abstraction

Lecture 1: Section Introduction

Lecture 2: Rock and Roll

Lecture 3: What Is a Chair?

Lecture 4: Network Layers

Chapter 9: Automation

Lecture 1: Section Introduction

Lecture 2: What is Automation?

Lecture 3: Turning Up The Heat

Lecture 4: Who You Gonna Call?

Lecture 5: Who's Hungry?

Lecture 6: CNC Machines

Lecture 7: Robots

Lecture 8: Driving

Chapter 10: Simulation

Lecture 1: Section Introduction

Lecture 2: What is Simulation?

Lecture 3: Simulating Computers with Computers

Lecture 4: Training

Lecture 5: Real-World Systems

Lecture 6: Fitness

Chapter 11: Parallelization

Lecture 1: Section Introduction

Lecture 2: What is Parallelization?

Lecture 3: Sandwiches in Parallel

Lecture 4: Doing Math in Parallel

Lecture 5: Building a Video Game in Parallel

Lecture 6: Pipelines

Lecture 7: Parallel Processing

Lecture 8: Parallelization Activity

Chapter 12: Course Wrapup

Lecture 1: Course Wrapup

Instructors

Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 7 votes
  • 3 stars: 15 votes
  • 4 stars: 34 votes
  • 5 stars: 59 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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