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!

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.

*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.

FAQ

Contact Us

Quotation & Finance Matters

Email: learn@ducklearning.com

Tel: 6747 4236 (Fazela)

Programme & Curriculum Matters

Email: murtaza@ducklearning.com

Tel: 9752 5201 (Murtaza)

Logistics & Delivery Matters

Email: learn@ducklearning.com

Tel: 6747 4236 (Shan)

We are happy to answer your queries.

STEAM Ecosystem Resources

新加坡的STEM和STEAM教育是什么?

Mar 08, 2024

该博客讨论了新加坡教育的演变,特别关注从 STEM(科学、技术、工程和数学)到 STEAM(包括 STEM 学科之外的艺术)的转变。它突出了STEAM教育的关键方面,强调将创造力、批判性思维和解决问题的技能融入传统STEM学科的重要性。 新加坡的 STEAM 教育被描述为一种整体方法,旨在帮助学生为满足技术驱动的世界经济的需求做好准备。政府、教育机构和各种组织正在通过专门学校、强化项目、竞赛和行业合作伙伴关系积极推动STEAM教育。 该博客还比较了 STEM 和 STEAM 教育,指出虽然两者都旨在培养批判性思维和创新,但 STEAM 更注重创造力和设计思维。它表明 STEAM 提供了一种适合 21 世纪劳动力的更全面的教育方法。 总体而言,该博客倡导 STEAM 教育在新加坡的重要性,强调其在培养未来创新者以及为国家经济发展和全球竞争力做出贡献方面的作用。

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Feb 14, 2024

应用学习计划 (ALP) 正在重塑新加坡的教育,促进学术知识在现实世界中的实际应用。 ALP 将于 2023 年在所有小学实施,强调基于项目的学习、跨学科方法和 21 世纪技能的发展。 主要特征: 基于项目的学习: ALP 让学生参与真实的项目,促进与外部合作伙伴的合作并满足社区需求。 跨学科方法: ALP 整合不同的学科,培养未来成功所必需的全面解决问题的技能。 现实世界的应用: ALP 鼓励学生应用所学知识来解决现实世界的问题,培养公民参与和责任感。 21 世纪技能发展: ALP 培养解决问题和协作等关键技能,为学生未来的职业生涯做好准备。 小学 ALP 与中学 ALP:小学 ALP 专注于核心科目,而中学 ALP 则扩展到 STEAM 和机器人等高级主题。 ALP 与课外活动 (CCA): ALP 通过将知识与现实世界场景联系起来加深理解,而 CCA 通过课外活动拓宽学生的经验。 涵盖的主题: ALP 涵盖游戏设计、健康科学和可持续发展等不同主题,丰富学生的学习体验。

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Feb 07, 2024

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