About ICM Learning Roadmap
The ICM (Infocomm Media) Learning Roadmap provides ICM club members with training to develop skills in various infocomm areas.
Duck Learning has been selected by IMDA to run the FULLY-SUBSIDISED relevant programmes for primary schools, secondary schools, and junior colleges. All programmes come in online and offline versions.
Here is an overview of the programmes/roadmaps we provide!
No. | Programme | Level | Programme Length | Ref. Code | Tool/Platform |
---|---|---|---|---|---|
1 | Roadmap 3 - Game Development (Offline) | Primary | 24 hours Base | GD-DL-POF | Scratch 3.0 |
2 | Roadmap 3 - Game Development (Online) | Primary | 24 hours Base | GD-DL-PON | Scratch 3.0 |
3 | Roadmap 5 - Robotics A (Offline) | Primary | 24 hours Base | RB-DL-POF1 | LEGO Education SPIKE Prime |
4 | Roadmap 5 - Robotics A (Online) | Primary | 24 hours Base | RB-DL-PON1 | CoderZ |
5 | Roadmap 5 - Robotics B (Offline) | Primary | 24 hours Base | RB-DL-POF2 | micro:bit |
6 | Roadmap 5 - Robotics B (Online) | Primary | 24 hours Base | RB-DL-PON2 | CoderZ |
7 | Roadmap 8 - Artificial Intelligence A (Offline) | Secondary/JC | 24 hours Base | AI-DL-SOF1 | PictoBlox & Google Collaboratory |
8 | Roadmap 8 - Artificial Intelligence A (Online) | Secondary/JC | 24 hours Base | AI-DL-SON1 | Databot |
9 | Roadmap 8 - Artificial Intelligence A (Offline) Add-On | Secondary/JC | 12 hours Add-On | AI-DL-SOF1-ADD | Databot |
10 | Roadmap 8 - Artificial Intelligence A (Online) Add-On | Secondary/JC | 12 hours Add-On | AI-DL-SON1-ADD | Databot |
11 | Roadmap 8 - Artificial Intelligence B (Offline) | Secondary/JC | 24 hours Base | AI-DL-SOF2 | PictoBlox & Google Collaboratory |
12 | Roadmap 8 - Artificial Intelligence B (Online) | Secondary/JC | 24 hours Base | AI-DL-SON2 | PictoBlox & Google Collaboratory |
13 | Roadmap 8 - Artificial Intelligence B (Offline) Add-On | Secondary/JC | 12 hours Add-On | AI-DL-SOF2-ADD | micro:bit & Google Data Studio |
14 | Roadmap 8 - Artificial Intelligence B (Online) Add-On | Secondary/JC | 12 hours Add-On | AI-DL-SON2-ADD | micro:bit & Google Data Studio |
15 | Roadmap 10 - Data Analytics A (Offline) | Secondary/JC | 24 hours Base | DA-DL-SOF1 | Databot & Arduino IDE |
16 | Roadmap 10 - Data Analytics A (Online) | Secondary/JC | 24 hours Base | DA-DL-SON1 | Databot & Arduino IDE |
17 | Roadmap 10 - Data Analytics A (Offline) Add-On | Secondary/JC | 12 hours Add-On | DA-DL-SOF1-ADD | Arduino IOT Explore |
18 | Roadmap 10 - Data Analytics A (Online) Add-On | Secondary/JC | 12 hours Add-On | DA-DL-SON1-ADD | Arduino IOT Explore |
19 | Roadmap 10 - Data Analytics B (Offline) | Secondary/JC | 24 hours Base | DA-DL-SOF2 | micro:bit & Google Data Studio |
20 | Roadmap 10 - Data Analytics B (Online) | Secondary/JC | 24 hours Base | DA-DL-SON2 | micro:bit & Google Data Studio |
21 | Roadmap 10 - Data Analytics B (Offline) Add-On | Secondary/JC | 12 hours Add-On | DA-DL-SOF2-ADD | Arduino IOT Explore |
22 | Roadmap 10 - Data Analytics B (Online) Add-On | Secondary/JC | 12 hours Add-On | DA-DL-SON2-ADD | Arduino IOT Explore |
23 | Roadmap 12 - Internet of Things (Offline) | Secondary/JC | 24 hours Base | IOT-DL-SOF | Arduino IOT Explore |
24 | Roadmap 12 - Internet of Things (Online) | Secondary/JC | 24 hours Base | IOT-DL-SON | Arduino IOT Explore |
25 | Roadmap 12 - Internet of Things (Offline) Add-on | Secondary/JC | 12 hours Add-On | IOT-DL-SOF-ADD | micro:bit & Google Data Studio |
26 | Roadmap 12 - Internet of Things (Online) Add-on | Secondary/JC | 12 hours Add-On | IOT-DL-SON-ADD | micro:bit & Google Data Studio |
27 | Roadmap 14 - Robotics A (Offline) | Secondary/JC | 24 hours Base | RB-DL-SOF1 | LEGO MINDSTORMS EV3 Education |
28 | Roadmap 14 - Robotics A (Online) | Secondary/JC | 24 hours Base | RB-DL-SON1 | CoderZ |
29 | Roadmap 14 - Robotics A (Offline) Add-on | Secondary/JC | 12 hours Add-On | RB-DL-SOF1-ADD | Arduino IOT Explore |
30 | Roadmap 14 - Robotics A (Online) Add-on | Secondary/JC | 12 hours Add-On | RB-DL-SON1-ADD | Arduino IOT Explore |
31 | Roadmap 14 - Robotics B (Offline) | Secondary/JC | 24 hours Base | RB-DL-SOF2 | LEGO Education SPIKE Prime |
32 | Roadmap 14 - Robotics B (Online) | Secondary/JC | 24 hours Base | RB-DL-SON2 | CoderZ |
33 | Roadmap 14 - Robotics B (Offline) Add-on | Secondary/JC | 12 hours Add-On | RB-DL-SOF2-ADD | Arduino IOT Explore |
34 | Roadmap 14 - Robotics B (Online) Add-on | Secondary/JC | 12 hours Add-On | RB-DL-SON2-ADD | Arduino IOT Explore |
If you are not sure which programme is suitable for your students, please do not hesitate to:
- Email us at learn@ducklearning.com or;
- Whatsapp our Educational Consultant, Murtaza, at 9752 5201 or;
- Fill in our contact form at the bottom of the page and we will email you in 2 - 4 working days
How To Select a Programme
Step 1.
Fill in our contact form
Step 2.
Consultation
Step 3.
Programme Confirmation
Step 4.
Detail Submission to IMDA
Step 5.
Free Programme Commences
Primary School Level Roadmaps
Click on tab to view roadmap/programme info
This tab contains info of the following:
1) Roadmap 3 - Game Development | Offline | Add-on 12hrs
2) Roadmap 3 - Game Development | Online | Base 24hrs*
**In case of switch to home-based learning announced by the Government
Reference Code: GD-DL-POF
Roadmap 3 - Game Development | Offline | Base - 24hrs
Suitable for children aged 7 - 12 years old
Details
- About:
This course invites students to create interactive multi-player games through the use of block-based programming software, Scratch. At the end of the course, students will walk away with computational thinking skills, basic coding skills and 21st century skills such as communication, critical thinking, creativity and collaboration.
Total Curriculum Time: 24 Hours
- Project Work:
Students will create design and create their own game (with minimal guidance) taking into consideration game mechanics that will keep the game interesting for the player.
They will:
1. Include a concurrent multi-player mode for at least 2 players
2. Include score-keeping
3. Include a game environment
4. Include audio e.g. background music, sound effects
5. Include at least 1 playable character and 1 non-playable character
Students will document their process. Extension:Students who are faster will be challenged to include more levels of difficulty in the game or adding more elements to the game.
- Software Required:
Scratch 3.0 App
- Hardware Required:
Laptop/ Desktop:1 gigahertz (GHz) or faster processor 1 gigabyte (GB) for 32-bit or 2 GB for 64-bit16 GB for 32-bit OS or 20 GB for 64-bit OS"
Reference Code: GD-DL-PON
Roadmap 3 - Game Development | Online | Base - 24hrs
Details
- About:
This course invites students to create interactive multi-player games through the use of block-based programming software, Scratch. At the end of the course, students will walk away with computational thinking skills, basic coding skills and 21st century skills such as communication, critical thinking, creativity and collaboration.
Total Curriculum Time: 24 Hours
- Project Work:
Students will create design and create their own game (with minimal guidance) taking into consideration game mechanics that will keep the game interesting for the player.
They will:
1. Include a concurrent multi-player mode for at least 2 players
2. Include score-keeping
3. Include a game environment
4. Include audio e.g. background music, sound effects
5. Include at least 1 playable character and 1 non-playable character
Students will document their process.
Extension: Students who are faster will be challenged to include more levels of difficulty in the game or adding more elements to the game.
- Software Required:
Scratch 3.0 App
- Hardware Required:
Laptop/ Desktop:1 gigahertz (GHz) or faster processor 1 gigabyte (GB) for 32-bit or 2 GB for 64-bit16 GB for 32-bit OS or 20 GB for 64-bit OS"
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 5 - Robotics A | Offline | Base 24hrs
2) Roadmap 5 - Robotics A | Online | Base 24hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: RB-DL-POF1
Roadmap 5 - Robotics I | Offline | Base - 24hrs
Suitable for children aged 7 - 12 years old
Details
- About:
In this course, students will get a chance to explore aspects of coding using the LEGO SPIKE PRIME system and software. With the incorporation of educational challenges and games throughout the course, students will be able to learn principles of programming and mechanical engineering, as well as gain public speaking and computational thinking skills which are crucial in the 21st century.
Total Curriculum Time: 24 Hours
- Project Work:
Design Thinking + Final Project
Students will be introduced to the design thinking process and the project theme.
Students will be provided with activity sheets to track their progress and reinforce the design thinking process.
Project theme: Care for my Community
Question
Students will question to identify and refine their solution within the Empathise, Design and Ideate phases.
Understand
In this lesson, students will be exploring solutions to the problems they have identified. They will also understand what they require to complete the project task.
Apply
Students will start to build/program.
Critique
Trainers and students will critique and affirm each group’s work at the presentation phase. Trainers will roam around to assist groups in creating a sound build and efficient program.
Know(ledge)
Students will understand how Computational Thinking process can be used in a different process such as the design thinking process.
They will:
1. Include a concurrent multi-player mode for at least 2 players
2. Include score-keeping
3. Include a game environment
4. Include audio e.g. background music, sound effects
5. Include at least 1 playable character and 1 non-playable character
Students will document their process. Extension:Students who are faster will be challenged to include more levels of difficulty in the game or adding more elements to the game.
- Software Required:
SPIKE App
- Hardware Required:
- LEGO Education SPIKE Prime set
- Windows Hardware
1.5 GHz Intel® Core Duo processor - or equivalent or better
4 GB RAM2 GB available storage space
Bluetooth 4.0 or above
OR
- iPad Hardware:
iPad Air 2 and iPad Mini 4 or newer
Reference Code: RB-DL-PON1
Roadmap 5 - Robotics A | Online | Base - 24hrs
Details
- About:
In this course, students will be introduced to the CoderZ system where they learn ways to manipulate sensors and robots in a completely virtual environment. With a step-by-step curriculum and a challenge mission pack, students will learn, and apply coding concepts such as decision-making statements, as well as loops and conditions to affect various responses from the robot.
Total Curriculum Time: 24 Hours
- Project Work:
Challenge: Students will attempt the challenge pack missions an attempt to get as high of a score as they can.
Scores will be tallied and displayed at the end of the lesson.
There will be a total of 4 challenge missions in this pack which will increase in difficulty, testing the students skills at applying what they have learnt.
Students will then apply computational thinking techniques as they attempt the missions Students may revisit the previous lesson packs to attempt a full score on each in this session.
Students will discuss how their programs will apply and work in real life.
Question
- What sensors and navigational blocks can I apply to make a program as simple as possible, yet able to get a high score?
- How would my programs work in real life?
Understand
At the end of the class, the trainer will give a quick overview of how each program can be completed.
Apply
Students will start to build/program.
Critique
Using the scoring assessment function in the CoderZ system, trainers and students can easily assess their proficiency in each challenge accomplished.
Students will also explain how their programs would work in real life and think of other real world applications
Know(ledge)
Students will understand how to use and manipulate the Navigation blocks learned in this lesson.
- Software Required:
CoderZ Platform (No Installation Required)
- Hardware Required:
CPU
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 5 - Robotics B | Offline | Base 24hrs
2) Roadmap 5 - Robotics B | Online | Base 24hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: RB-DL-POF2
Roadmap 5 - Robotics B | Offline | Base - 24hrs
Suitable for students aged 7 - 12 years old
Details
- About:
Students participating in this course will use a coding and robotics kit - Strawbees - to create mechanisms and structures out of straws.They will also be challenged to modify their structures and programmes to solve real-world problems. Through tinkering, this program aims to cultivate invention literacy and encourage students to invent so as to achieve desired outcomes.
Total Curriculum Time: 24 Hours
- Project Work:
Students will design and create their own motorized model.
Theme: Smart Home/School/ Community
Students can design a game or a device that can solve a problem e.g. a smart bin/ a traffic light
Their models should:
1. Be motorized
2. Include at least 1 movable joint (output)
3. Include at least 1 type of sensor (input)
Students will document their process.
Extension:
Students who are faster will include variables into their program or be guided to improve and advance their codes.
Presentation
Students will present their projects to their peers and explain the rationale behind their model, the real world application of their model and explain the program and design (using key terms they learnt).
Students will also share their key takeaways from the program.
- Software Required:
Makecode for micro:bit (optional as students can just use browser)
- Hardware Required:
- Tool: Strawbees Robotics Invention for micro:bit
- Laptop/Desktop
1 gigahertz (GHz) or faster 32-bit (x86) or 64-bit (x64) processor
1 gigabyte (GB) RAM (32-bit) / 2 GB RAM (64-bit)
16 GB available disk space (32-bit) / 20 GB (64-bit)
Reference Code: RB-DL-PON2
Roadmap 5 - Robotics B | Online | Base - 24hrs
Details
- About:
In this course, students will be introduced to the CoderZ system where they will learn ways to manipulate sensors and robots in a completely virtual environment. By offering a step-by-step curriculum and a challenge mission pack, students will learn, and apply coding concepts such as decision-making statements, as well as loops and conditions to affect various responses from the robot.
Total Curriculum Time: 24 Hours
- Project Work:
Challenge: Students will attempt the challenge pack missions an attempt to get as high of a score as they can. Scores will be tallied and displayed at the end of the lesson.
There will be a total of 4 challenge missions in this pack which will increase in difficulty, testing the students skills at applying what they have learnt.
Students will then apply computational thinking techniques as they attempt the missions Students may revisit the previous lesson packs to attempt a full score on each in this session.
Students will discuss how their programs will apply and work in real life.
Question
What sensors and navigational blocks can I apply to make a program as simple as possible, yet able to get a high score? How would my programs work in real life?
Understand
At the end of the class, the trainer will give a quick overview of how each program can be completed
Apply
Students will start to build/program.
Critique
Using the scoring assessment function in the CoderZ system, trainers and students can easily assess their proficiency in each challenge accomplished. Students will also explain how their programs would work in real life and think of other real world applications
Know(ledge)
Students will understand how to use and manipulate the Navigation blocks learned in this lesson."
- Software Required:
CoderZ Platform (No Installation Required)
- Hardware Required:
CPU
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
*Secondary School/JC Level Roadmaps
Click on tab to view roadmap/programme info
This tab contains info of the following:
1) Roadmap 8 - Artificial Intelligence A | Offline | Base 24hrs
2) Roadmap 8 - Artificial Intelligence A | Offline | Add-on 12hrs
3) Roadmap 8 - Artificial Intelligence A | Online | Base 24hrs*
4) Roadmap 8 - Artificial Intelligence A | Online | Add-on 12hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: AI-DL-SOF1
Roadmap 8 - Artificial Intelligence A | Offline | Base - 24hrs
Details
- About:
Students will code AI systems. Learning to mimic human senses. Students will create projects that showcase Machine Learning, Natural Language Processing and Computer Vision. In the end, students will be able to navigate the intricacies of coding AI, comprehending ethics, and implementing solutions using Pictoblox and Google Collaboratory IDE.
- Project Work:
To create a Computer Vision system that detects and sorts different types of trash.
- Software Required:
- Pictoblox
- Google Collaboratory
- Hardware Required:
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM
250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: AI-DL-SOF1-ADD
Roadmap 8 - Artificial Intelligence A | Offline | Add-On - 12 hours
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will understand how this can be applied in the real-world.
Total Curriculum Time: 12 Hours
- Project Work:
To determine if global warming can be slowed down by switching to fans instead of using the aircon
- Software Required:
- Microsoft Excel 2016 or better
- Arduino IDE 1.8.13
- Google Data Studio (online)
- Hardware Required:
- Tool: Databot kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM250GB HDD ROM
802.11abgn 2x2 (Dual Band)
- Databot Device
Reference Code: AI-DL-SON1
Roadmap 8 - Artificial Intelligence A | Online | Base - 24hrs
Details
- About:
Students will code AI systems. Learning to mimic human senses. Students will create projects that showcase Machine Learning, Natural Language Processing and Computer Vision. In the end, students will be able to navigate the intricacies of coding AI, comprehending ethics, and implementing solutions using Pictoblox and Google Collaboratory IDE.
Total Curriculum Time: 24 Hours
- Project Work:
To create a Computer Vision system that detects and sorts different types of trash.
- Software Required:
- Pictoblox
- Google Collaboratory
- Hardware Required:
- Laptop or Desktop
Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB) 2GB RAM
250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: AI-DL-SON1-ADD
Roadmap 8 - Artificial Intelligence A | Online | Add-On - 12 hours
Suitable for students aged 13 - 18 years old
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will understand how this can be applied in the real-world.
Total Curriculum Time: 12 Hours
- Project Work:
To determine if global warming can be slowed down by switching to fans instead of using the aircon
- Software Required:
- Microsoft Excel 2016 or better
- Arduino IDE 1.8.13
- Google Data Studio (online)
- Hardware Required:
- Tool: Databot kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM250GB HDD ROM
802.11abgn 2x2 (Dual Band)
- Databot Device
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 8 - Artificial Intelligence B | Offline | Base 24hrs
2) Roadmap 8 - Artificial Intelligence B | Offline | Add-on 12hrs
3) Roadmap 8 - Artificial Intelligence B | Online | Base 24hrs*
4) Roadmap 8 - Artificial Intelligence B | Online | Add-on 12hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: AI-DL-SOF2
Roadmap 8 - Artificial Intelligence B | Offline | Base - 24hrs
Details
- About:
Students will code AI systems. Learning to mimic human senses. Students will create projects that showcase Machine Learning, Natural Language Processing and Computer Vision. In the end, students will be able to navigate the intricacies of coding AI, comprehending ethics, and implementing solutions using Pictoblox and Google Collaboratory IDE.
- Project Work:
To create a Computer Vision system that detects and sorts different types of trash.
- Software Required:
- Pictoblox
- Google Collaboratory
- Hardware Required:
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM
250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: AI-DL-SOF2-ADD
Roadmap 8 - Artificial Intelligence B | Offline | Add-On - 12 hours
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will understand how this can be applied in the real-world.
Total Curriculum Time: 12 Hours
- Project Work:
To determine if global warming can be slowed down by switching to fans instead of using the aircon
- Software Required:
- Microsoft Excel 2016 or better
- Google Data Studio (online)
- Makecode for micro:bit (online)
- Hardware Required:
- Tool: micro:bit kit
- Laptop or Desktop Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM 802.11abgn 2x2 (Dual Band)
- micro:bit (1 per student)
Reference Code: AI-DL-SON2
Roadmap 8 - Artificial Intelligence B | Online | Base - 24 hours
Details
- About:
Students will code AI systems. Learning to mimic human senses. Students will create projects that showcase Machine Learning, Natural Language Processing and Computer Vision. In the end, students will be able to navigate the intricacies of coding AI, comprehending ethics, and implementing solutions using Pictoblox and Google Collaboratory IDE.
Total Curriculum Time: 24 Hours
- Project Work:
To create a Computer Vision system that detects and sorts different types of trash.
- Software Required:
- Pictoblox
- Google Collaboratory
- Hardware Required:
- Laptop or Desktop
Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB) 2GB RAM
250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: AI-DL-SON2-ADD
Roadmap 8 - Artificial Intelligence B | Online | Add-On - 12 hours
Suitable for students aged 13 - 18 years old
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will understand how this can be applied in the real-world.
Total Curriculum Time: 12 Hours
- Project Work:
To determine if global warming can be slowed down by switching to fans instead of using the aircon
- Software Required:
- Microsoft Excel 2016 or better
- Google Data Studio (online)
- Makecode for micro:bit (online)
- Hardware Required:
- Tool: micro:bit kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L23MB)
2GB RAM 250GB HDD ROM 802.11abgn 2x2 (Dual Band)
- micro:bit (1 per student)
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 10 - Data Analytics A | Offline | Base 24hrs
2) Roadmap 10 - Data Analytics A | Offline | Add-on 12hrs
3) Roadmap 10 - Data Analytics A | Online | Base 24hrs*
4) Roadmap 10 - Data Analytics A | Online | Add-on 12hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: DA-DL-SOF1
Roadmap 10 - Data Analytics A | Offline | Base - 24hrs
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will also get an introduction to R, Python, Big Data, Data Mining and Machine Learning. Students will be able to apply this in a real-world setting.
Total Curriculum Time: 24 Hours
- Project Work:
Since COVID19, MOE has informed all students to remain at home and for teachers to conduct classes online.
MOE would like to conduct a study on the impact of online classes on the performance on students' grade.
- Software Required:
- Microsoft Excel 2016 or better
- Arduino IDE 1.8.13
- Google Data Studio (online)
- Hardware Required:
- Tool: Databot kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM250GB HDD ROM
802.11abgn 2x2 (Dual Band)
- Databot Device
Reference Code: DA-DL-SOF1-ADD
Roadmap 10 - Data Analytics A | Offline | Add-on - 12hrs
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.
6. Students may either use the cloud Dashboard or the Web Hosting service to display their results.
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: DA-DL-SON1
Roadmap 10 - Data Analytics A | Online | Base - 24hrs
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will also get an introduction to R, Python, Big Data, Data Mining and Machine Learning. Students will be able to apply this in a real-world setting.
Total Curriculum Time: 24 Hours
- Project Work:
Since COVID19, MOE has informed all students to remain at home and for teachers to conduct classes online. MOE would like to conduct a study on the impact of online classes on the performance on students' grade.
- Software Required:
- Microsoft Excel 2016 or better - Google Data Studio (online) - Makecode for micro:bit (online)
- Hardware Required:
- Tool: Databot kit
- Laptop or Desktop
Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB) 2GB RAM
250GB HDD ROM
802.11abgn 2x2 (Dual Band)
- Databot Device
Reference Code: DA-DL-SON1-ADD
Roadmap 10 - Data Analytics A | Online | Add-on - 12hrs
Suitable for students aged 13 - 18 years old
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.
6. Students may either use the cloud Dashboard or the Web Hosting service to display their results.
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 10 - Data Analytics B | Offline | Base 24hrs
2) Roadmap 10 - Data Analytics B | Offline | Add-on 12hrs
3) Roadmap 10 - Data Analytics B | Online | Base 24hrs*
4) Roadmap 10 - Data Analytics B | Online | Add-on 12hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: DA-DL-SOF2
Roadmap 10 - Data Analytics B | Offline | Base - 24hrs
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will also get an introduction to R, Python, Big Data, Data Mining and Machine Learning. Students will be able to apply this in a real-world setting.
Total Curriculum Time: 24 Hours
- Project Work:
Since COVID19, MOE has informed all students to remain at home and for teachers to conduct classes online.
MOE would like to conduct a study on the impact of online classes on the performance on students' grade.
- Software Required:
- Microsoft Excel 2016 or better
- Google Data Studio (online)
- Makecode for micro:bit (online)
- Hardware Required:
- Tool: micro:bit kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM250GB HDD ROM
802.11abgn 2x2 (Dual Band)
- micro:bit (1 per student)
Reference Code: DA-DL-SOF2-ADD
Roadmap 10 - Data Analytics B | Offline | Add-on - 12hrs
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.
6. Students may either use the cloud Dashboard or the Web Hosting service to display their results.
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: DA-DL-SON2
Roadmap 10 - Data Analytics B | Online | Base - 24hrs
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will also get an introduction to R, Python, Big Data, Data Mining and Machine Learning. Students will be able to apply this in a real-world setting.
Total Curriculum Time: 24 Hours
- Project Work:
Since COVID19, MOE has informed all students to remain at home and for teachers to conduct classes online. MOE would like to conduct a study on the impact of online classes on the performance on students' grade.
- Software Required:
- Microsoft Excel 2016 or better - Google Data Studio (online) - Makecode for micro:bit (online)
- Hardware Required:
- Tool: micro:bit kit - Laptop or Desktop Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB) 2GB RAM250GB HDD ROM 802.11abgn 2x2 (Dual Band) - micro:bit (1 per student)
Reference Code: DA-DL-SON2-ADD
Roadmap 10 - Data Analytics B | Online | Add-on - 12hrs
Suitable for students aged 13 - 18 years old
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.
6. Students may either use the cloud Dashboard or the Web Hosting service to display their results.
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor (3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 12 - Internet of Things (IOT) | Offline | Base 24hrs
2) Roadmap 12 - Internet of Things (IOT) | Offline | Add-on 12hrs
3) Roadmap 12 - Internet of Things (IOT) | Online | Base 24hrs*
4) Roadmap 12 - Internet of Things (IOT) | Online | Add-on 12hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: IOT-DL-SOF
Roadmap 12 - Internet of Things (IOT) | Offline | Base - 24hrs
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform.
Students will also learn to export data and analyse it using Excel and Data Google Studio. Students will create real-world projects throughout the course.
Total Curriculum Time: 24 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance.
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.
6. Students may either use the cloud Dashboard or the Web Hosting service to display their results
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud
system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: IOT-DL-SOF-ADD
Roadmap 12 - Internet of Things (IOT) | Offline | Add-on - 12hrs
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will also get an introduction to R, Python, Big Data, Data Mining and Machine Learning. Students will be able to apply this in a real-world setting.
Total Curriculum Time: 12 Hours
- Project Work:
Project work Since Covid19, MOE has informed all students to remain at home and for teachers to conduct classes online. MOE would like to conduct a study on the impact of online classes on the performance on students' grade.
- Software Required:
- Microsoft Excel 2016 or better
- Google Data Studio (online)
- Makecode for microbit (online)
- Hardware Required:
- Tool: micro:bit Kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB) 2GB RAM
250GB HDD ROM
802.11abgn 2x2 (Dual Band)
- micro:bit (1 per student)
Reference Code: IOT-DL-SON
Roadmap 12 - Internet of Things (IOT) | Online | Base - 24hrs
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform.
Students will also learn to export data and analyse it using Excel and Data Google Studio. Students will create real-world projects throughout the course.
Total Curriculum Time: 24 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance.
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.
6. Students may either use the cloud Dashboard or the Web Hosting service to display their results
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud
system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: IOT-DL-SON-ADD
Roadmap 12 - Internet of Things (IOT) | Online | Add-on - 12hrs
Suitable for students aged 13 - 18 years old
Details
- About:
Students will learn Data Analysis. Students will learn about Setting Goals, Data Collection, Data Cleaning, Data Exploration and Data Evaluation. Students will be able to solve business related queries/strategies by analyzing data and coming up with a conclusive set of actions to take. Students will also get an introduction to R, Python, Big Data, Data Mining and Machine Learning. Students will be able to apply this in a real-world setting.
Total Curriculum Time: 12 Hours
- Project Work:
Project work Since Covid19, MOE has informed all students to remain at home and for teachers to conduct classes online. MOE would like to conduct a study on the impact of online classes on the performance on students' grade.
- Software Required:
- Microsoft Excel 2016 or better
- Google Data Studio (online)
- Makecode for microbit (online)
- Hardware Required:
- Tool: micro:bit Kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB) 2GB RAM
250GB HDD ROM
802.11abgn 2x2 (Dual Band)
- micro:bit (1 per student)
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 14 - Robotics A | Offline | Base 24hrs
2) Roadmap 14 - Robotics A | Offline | Add-on 12hrs
3) Roadmap 14 - Robotics A | Online | Base 24hrs*
4) Roadmap 14 - Robotics A | Online | Add-on 12hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: RB-DL-SOF1
Roadmap 14 - Robotics A | Offline | Base - 24hrs
Details
- About:
Featuring the LEGO Education Mindstorms EV3 system and classroom software, this course will allow students to explore basic coding principles as well as mechanical design/engineering concepts.
The inclusion of fun and educational challenges throughout the course will also inculcate in students, computational thinking and public speaking skills pertinent in the current times.
Total Curriculum Time: 24 Hours
- Project Work:
Design Thinking + Final Project
Students will be introduced to the design thinking process and the project theme.
Students will be provided with activity sheets to track their progress and reinforce the design thinking process.
Project theme: Improve My Life
Question
Students will question to identify and refine their solution within the Empathise, Design and Ideate phases.
Understand
In this lesson, students will be exploring solutions to the problems they have identified. They will also understand what they require to complete the project task.
Apply
Students will start to build/program.
Critique
Trainers and students will critique and affirm each group’s work at the presentation phase. Trainers will roam around to assist groups in creating a sound build and efficient program.
Know(ledge)
Students will understand how Computational Thinking process can be used in a different process such as the design thinking process.
Presentation:
Students will present their project and program their peers.
Peer-to- peer critique will happen after each presentation.
Trainer will wrap up the course at the end of the session
- Software Required:
- EV3 Classroom Software
- Hardware Required:
- Tool: LEGO MINDSTORMS Education EV3 Core set
- Computer Specs:
Windows Hardware
1.5 GHz Intel® Core Duo processor or equivalent or better
4 GB RAM2 GB available storage space
Bluetooth 4.0 or above
iPad specs:
iPad Air 2 and iPad Mini 4 or newer
Reference Code: RB-DL-SOF1-ADD
Roadmap 14 - Robotics A | Offline | Add-on - 12hrs
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.6. Students may either use the cloud Dashboard or the Web Hosting service to display their results
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: RB-DL-SON1
Roadmap 14 - Robotics A | Online | Base - 24hrs
Details
- About:
In this course, students will be introduced to the CoderZ system where they learn ways to manipulate sensors and robots in a completely virtual environment. With a step-by-step curriculum and a challenge mission pack, students will learn, and apply coding concepts such as decision-making statements, as well as loops and conditions to affect various responses from the robot.
Total Curriculum Time: 24 Hours
- Project Work:
Challenge:
Students will attempt the challenge pack missions an attempt to get as high of a score as they can.
Scores will be tallied and displayed at the end of the lesson.
There will be a total of 4 challenge missions in this pack which will increase in difficulty, testing the students skills at applying what they have learnt.
Students may revisit the previous lesson packs to attempt a full score on each in this session.
Applying Design Engineering process.
(This is a 5 step process.)
1. Problem Evaluation : list the tasks to solve
2. Defining the Problem: choose 1 task at a time
3. Forming pseudocode/test solutions: create pseudocode solutions(Pseudocode is a tool to design codes for automation and sharing)
4. Testing a set of codes: implement pseudocodes into actual codes
5. Evaluate performance: check the efficiency of program
Question
What sensors and navigational blocks can I apply to make a program as simple as possible, yet able to get a high score?
Understand
At the end of the class, the trainer will give a quick overview of how each program can be completed
Apply
Students will start to build/program.
Critique
Using the scoring assessment function in the CoderZ system, trainers and students can easily assess their proficiency in each challenge accomplished.
Know(ledge)
Students will understand how to use and manipulate the Navigation blocks learned in this lesson.
- Software Required:
- No installation required
- Hardware Required:
- Tool: None
- Computer only:CPU i5 or similar
Recommended 64 Bit architecture
RAM 4 GB minimum
Recommended 8 GB for Windows/OS X
Reference Code: RB-DL-SON1-ADD
Roadmap 14 - Robotics A | Online | Add-on - 12hrs
Suitable for students aged 13 - 18 years old
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.6. Students may either use the cloud Dashboard or the Web Hosting service to display their results
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
If you need more information,
please contact our educational consultant Murtaza at 9752 5201
or fill in our contact form at the bottom of the page.
This tab contains info of the following:
1) Roadmap 14 - Robotics B | Offline | Base 24hrs
2) Roadmap 14 - Robotics B | Offline | Add-on 12hrs
3) Roadmap 14 - Robotics B | Online | Base 24hrs*
4) Roadmap 14 - Robotics B | Online | Add-on 12hrs*
*In case of switch to home-based learning announced by the Government
Reference Code: RB-DL-SOF2
Roadmap 14 - Robotics B | Offline | Base - 24hrs
Details
- About:
In this course, students will get a chance to explore aspects of coding using the LEGO SPIKE PRIME system and software. With the incorporation of educational challenges and games throughout the course, students will be able to learn principles of programming and mechanical engineering, as well as gain public speaking and computational thinking skills which are crucial in the 21st century.
Total Curriculum Time: 24 Hours
- Project Work:
Design Thinking + Final Project
Students will be introduced to the design thinking process and the project theme.
Students will be provided with activity sheets to track their progress and reinforce the design thinking process.
Project theme: A Game For Everyone
Question
Students will question to identify and refine their solution within the Empathise, Design and Ideate phases.
Understand
In this lesson, students will be exploring solutions to the problems they have identified. They will also understand what they require to complete the project task.
Apply
Students will start to build/program.
Critique
Trainers and students will critique and affirm each group’s work at the presentation phase. Trainers will roam around to assist groups in creating a sound build and efficient program.
Know(ledge)
Students will understand how Computational Thinking process can be used in a different process such as the design thinking process.
- Software Required:
- SPIKE PRIME App
- Hardware Required:
- Tool: LEGO Education SPIKE Prime set
- Windows Hardware
1.5 GHz Intel® Core Duo processor - or equivalent or better
4 GB RAM2 GB available storage space
Bluetooth 4.0 or above
OR
iPad specs:
Hardware iPad Air 2 and iPad Mini 4 or newer
Reference Code: RB-DL-SOF2-ADD
Roadmap 14 - Robotics B | Offline | Add-on - 12hrs
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.6. Students may either use the cloud Dashboard or the Web Hosting service to display their results
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
Reference Code: RB-DL-SON2
Roadmap 14 - Robotics B | Online | Base - 24hrs
Details
- About:
In this course, students will be introduced to the CoderZ system where they learn ways to manipulate sensors and robots in a completely virtual environment. With a step-by-step curriculum and a challenge mission pack, students will learn, and apply coding concepts such as decision-making statements, as well as loops and conditions to affect various responses from the robot.
Total Curriculum Time: 24 Hours
- Project Work:
Challenge:
Students will attempt the challenge pack missions an attempt to get as high of a score as they can.
Scores will be tallied and displayed at the end of the lesson.
There will be a total of 4 challenge missions in this pack which will increase in difficulty, testing the students skills at applying what they have learnt.
Students may revisit the previous lesson packs to attempt a full score on each in this session.
Applying Design Engineering process.
(This is a 5 step process.)
1. Problem Evaluation : list the tasks to solve
2. Defining the Problem: choose 1 task at a time
3. Forming pseudocode/test solutions: create pseudocode solutions (Pseudocode is a tool to design codes for automation and sharing)
4. Testing a set of codes: implement pseudocodes into actual codes
5. Evaluate performance: check the efficiency of program
Question
What sensors and navigational blocks can I apply to make a program as simple as possible, yet able to get a high score?
Understand
At the end of the class, the trainer will give a quick overview of how each program can be completed
Apply
Students will start to build/program.
Critique
Using the scoring assessment function in the CoderZ system, trainers and students can easily assess their proficiency in each challenge accomplished.
Know(ledge)
Students will understand how to use and manipulate the Navigation blocks learned in this lesson.
- Software Required:
- No installation required
- Hardware Required:
- Tool: None
- Computer only: CPU i5 or similar
Recommended 64 Bit architecture
RAM 4 GB minimum
Recommended 8 GB for Windows/OS X
Reference Code: RB-DL-SON2-ADD
Roadmap 14 - Robotics B | Online | Add-on - 12hrs
Suitable for students aged 13 - 18 years old
Details
- About:
Students in this course will learn to build IoT systems encompassing both hardware and cloud connections using the Arduino Explore IoT Kit. On top of that, they will learn to visualize data in a cloud platform. At the end of the course, students will be challenged to design their own IoT solution to solve real-world problems.
Total Curriculum Time: 12 Hours
- Project Work:
Open-Project: Water Leaking Challenge
Problem/Project Idea
Every year, over 38,000 liters of water is lost due to leaks*.
These leaks are caused with running taps forgotten to be closed, or leaks in the pipes at home.
Requirements
1. Students are to propose a solution to detect water leaks in a standard 5-room HDB flat in Singapore.
2. Students’ solutions should be free standing and require only monthly maintenance
3. The leaks need to be immediately updated to home-owners (level 1 to level 3)
4. Home-owners need to plug the leak and inform the IoT system (level 3 only)
5. Non-technical users should find the system easy to use.6. Students may either use the cloud Dashboard or the Web Hosting service to display their results
Level 1: Students need to implement at least 1 passive sensor.
Level 2: Students need to implement at least 1 sensor and 1 actuator in the separate Nodes in the IOT cloud system.
Level 3: Students need to implement at least 1 sensor, 1 servo and 1 actuator in the separate Nodes in the IOT cloud system.
Students are to submit a working prototype. The Design Thinking process should be used and demonstrated.
- Software Required:
- Arduino IDE 1.8.13
- Hardware Required:
- Tool: Arduino IOT Explore kit
- Laptop or Desktop
Intel Core i3-2100 Processor
(3.1GHz/1333MHz with L2-3MB)
2GB RAM 250GB HDD ROM
802.11abgn 2x2 (Dual Band)
If you need more information,
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STEAM Ecosystem Resources
Code for Fun: Sparking AI Learning with Pictoblox in Singapore
Code for Fun programme in Singapore uses Pictoblox to introduce students to AI and coding, fostering innovation through hands-on learning. With block-based and Python coding, kids develop essential skills, preparing for a tech-driven future in an engaging, practical way.