INTRODUCTION TO PHYSICAL COMPUTING & DATA SCIENCE COURSE
Quickly learn how to build complex digital devices without any prior hardware or software knowledge. Run experiments on your new device and perform data analysis.
INTRODUCTION TO PHYSICAL COMPUTING & DATA SCIENCE COURSE
Quickly learn how to build complex digital devices without any prior hardware or software knowledge. Run experiments on your new device and perform data analysis..
Beginner – R 1000
Course Duration:
10 Hours
What will you learn:
In this course you will be introduced to a pocket-sized computer that shows you how interactive systems, that can sense and respond to the world around them, work.
You will learn how to use software and hardware to interact with things like gravity, motion, electrical waves and magnetism and introduced to the basics of data science
Course Outline:
Lesson 1 – Introduction to Micro:bit
Lesson 2 – Data Collection Methods
Lesson 3 – Populaton Trait Data Counter
Lesson 4 – Gravity, Motion and Waves
Lesson 5 – Soil Moisture Tester
Lesson 6 – Electrical Waves
Lesson 7 – Magnetism
Lesson 8 – Electricity
Lesson 9 – Acceleration
Disclaimer:
Learners must provide their own computer and have access to the internet or WiFi to be able to complete this course.
No prior knowledge of coding or robotics is needed to complete the course
Intermediate – R 1950
Course Duration:
12 Hours
What will you learn:
Get started with the basics of physical computing and data science.
Physical computing is a creative framework for understanding our relationship as human beings with the digital world. This is done via fun projects that use sensors and microcontrollers to translate analog input to a software system and / or control electro-mechanical device such as motors, servos, lighting and other hardware.
Physical Computing combines activities from electrical engineering, mechatronics, robotics, computer science and development
Course Outline:
Lesson 2 – Overview of Starter Kit
Lesson 3 – Digital Output (LED)
Lesson 4 – Analog Output (LED)
Lesson 5 – Digital Input (Button)
Lesson 6 – Analog Input (Button with memory)
Lesson 7 – Analog Input (LDR)
Lesson 8 – Analog Input (Temperature)
Lesson 9 – Thermometer
Lesson 10 – Motion Detection
Lesson 11 – Apply Knowledge gained
Disclaimer:
Learners must provide their own computer and have access to the internet or WiFi to be able to complete this course.
No prior knowledge of coding or robotics is needed to complete the course.
Advanced – R 2750
Course Duration:
10 Hours
What will you learn:
This innovative course provides an Introduction to Physical Computing. It consists of a series of lessons, experiments and extension activities, aimed at middle and high school students, uses a variety of different digital instruments built from the kit.
The course is tried and tested in classrooms and is perfect for parents to work through with children: a great way to learn together during the long hours of quarantine. Parents should not be concerned about having specific pre-knowledge: our training materials and the lessons themselves contain all the information you need.
Course Outline:
Lesson 2 – Introduction to IoT
Lesson 3 – IoT in practice
Lesson 4 – Micro-climate interactions
Lesson 5 – Discovery through data
Lesson 6 – Our Earth – Solar Eclipse
Lesson 7 – Data analysis and interpretation
Lesson 8 – Living in Habitats
Lesson 9 – Designing a habitat
Lesson 10 – Conclusion
The course includes:
10 lessons over 2 modules.
Each lesson includes up to 10 extension activities for advanced students and home study.
5 cross-curriculum experiments that can be conducted using the hardware.
First learn how to build then use digital instruments then later how to code them.
Learn the basics of data science and how to undertake environmental monitoring.
Basics of coding are covered from the perspective of software development and the course is designed to ensure students with little interest or aptitude for coding are not alienated.
Disclaimer:
Learners must provide their own computer and have access to the internet or WiFi to be able to complete this course.
No prior knowledge of coding or robotics is needed to complete the course
What’s included In the course?
We include everything that you need to successfully complete this course as part of the package:
The Skills 4.0 modular starter kit. Easy to assemble and use in a variety of configurations
Online classroom where students learn the required theory to complete the task at hand
Live, facilitated group discussions for students to gain peer support and learn together
Access to the IoT cloud dashboard where environmental data can be viewed
What does your child gain?
Gain complex
problem-solving skills
Gain critical
thinking skills
Gain Creativity, originality and initiative skills
Upskilling
for the future
Frequently asked questions
How long does the course take &
what do you need to complete it?
- The course is provided extracurricular and students typically take up to a week to complete it, the course can be presented on a Saturday as well (minimum of 5 learners required).
- All learners need a computer as well as internet access since learning material is supplied to an online classroom.
- Group discussion will be held remotely via online chat and video conferencing
Are there assessments/
assignments?
A quiz is included in the course to test the learners understanding
When does it start?
Courses run in line with the academic year and your teacher will let you know when classes start.
Course completion
On successfully completing the course you will receive a Course Completion Letter from Skills 4.0
Age requirements
Learners should ideally
be in Grade 6-12
Our Partners
