P21S-MLIC Advanced Computer Scientists (Machine Learning - Image Classification)
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About the Programme
The Advanced Computer Scientists programme develops students to the next level of programming. Students will now deep dive into app creation for both iOs and Android, develop the maker in them with our extensive micro:bit curriculum, and model advanced concepts across syntax-based programming to create tangible, real-world products.
Course Outline
In this research area, students will dive into an exciting journey into the world of machine learning, focusing on the fun challenge of image classification. They'll create their own custom image classification model using Google Teachable Machine and bring it to life by building a recycling app with App Inventor. Their new app will allow users to snap a photo of an item and instantly categorise it for recycling such as plastic, metal, or paper.
Along the way, students will explore the entire machine learning lifecycle, from collecting data and training models to optimising and deploying their creations. By the end of the course, they’ll have hands-on experience building their very own practical, eco-friendly tool that helps people recycle more efficiently, all while making machine learning fun and accessible!
Programme Schedule
| Location | Date | Time |
| United Square | Monday to Friday 16 Jun to 20 Jun |
3 pm - 5 pm |
Pre-requisite: P201 App Inventor 1, P202 App Inventor 2, P205 Python Junior 1, P206 Python Junior 2
| Duration : 5 x 2 hour lessons | |
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Fee :
Early Bird Discount (14 days before programme commences): $491.86 Regular Fee: $517.75 |
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| Class Format : Fully physical classes |
Interested to learn more about our other Coding Lab programmes?
Frequently Asked Questions About Our Coding Lab Programmes
What is your average class size?
Our classes have a 1:8 teacher to student ratio. We keep our classes small so that every student benefits from maximum personalised attention.