Coding as a Literacy for the 21st Century
Data, Coding & Sensors
Basic Block Coding: Inputs, Variables, Built-in sensors, External sensors with Pins and Coding, Mathematically functions.
Sensors, Network Coding
Code the ultrasonic and the servo motor, design with the logical operators, remote communication between two micro: bits to send information and to record.
Assemble (TrashBot) | (Parking Barrier)
Robotic Arm Control
Introduce projects to connect (1) micro: bits with robotic arm movement, (2) gripper to transfer from one place to another, (3) micro: bit to control robotic car and (4) the communication of robotic car and robotic arm. Assemble (Robotic Arm)
Coding & Logical Operators
Learn to code with sensors and the sensor shield, photo interrupter, external LED light, light sensor and simple logical operators.
Assemble the robot: Version 1 | Version 2
Robotic Car & DC Motor
Use micro: bit to control the DC motor and the motor shield to operate the wheels; Design with "Functions" with various movements (forward, backward, pause, Turn left/Right); Set arrays to manage the movements; and wireless controlling the movements.
Assemble the Robotic Car - Version 1 | 2
with Machine Learning & Data Science
Crash Course in Block Coding
This course is designed for beginners with little or new in coding to start their learning in Python. The course will introduce various important aspects of block-coding and you are expected to complete a robotic project.
Jupyter Notebooks
Learn to collect data with sensors and display the data on Jupyter Notebooks; Learn to display the data, collaborate with team members, and create simple predictions with different types of data sets: [Preparing data (categorical); cleaning data; model selection; model training; evaluate the model; make predictions;]
Case Study - Create several projects based on Data Types- Decision Tree, Linear & Logistic Regression
Study the different types of data: Logistic regression, classification and linear regression; develop the model of each of the data types; carry out the predictions: Bakery; Insurance; Car Sellers; Bank Loans; Clothings.
Python with sensors
Apply Python codes with projects using the breadboard, Servo Motor and create Sound/Music with Piezo Buzzer; Apply For Loop; Function & Wireless Control.
Python Framework -Flask
Learn to build, deploy, and run your app in the cloud; Utilise GitHub essentials like repositories, branches, commits, and pull requests; Create a simple web app with a few static pages with Flask;
CV- Read Images/Streaming
Learn to read video files, streaming and managing videos with Python.
CV- Hands Detection
Detect the fingers and add voice into the codes.
CV-MediaPipe Face Mesh
Detecting key facial features from images: determine age, gender and emotions.
CV- Virtual Drag & Drop
Learn to set the various shapes, colours, drag and drop
CV- Pose Estimation
Learn to understand the body movements. It is used to describe a pose of a person.
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With Immersive Technology
Introduction to HTML </>
Create an HTML page: The core of HTML; Input Form; Adding Multimedia (Audio & Video);
OpenCV WITH JS
Create a Webpage and design the boxes with OpenCV; Upload the images to detect the circles; Scan images with a camera and play the videos.
Projects with OpenCV & JS
Multiple colour detection by an industrial robot to perform pick and place; face mask detection with Open CV.
HTML, CSS and JS
CSS rules; Font-family, Size, Style; Objects and Boxes, Borders, Padding, Margin; Variables, Functions, Conditional Statements, Events.
DEPLOYMENT WITH HTML & ML
Deploy a page of online clothes store purchase; get the information of the user and recommend the clothes; repeat with other examples: bakery store and vehicle purchase.
