Year 10 Digital Technologies

The Digital Technologies course is crafted to equip students with the essential knowledge, understanding, skills, and values needed to effectively tackle problems by harnessing the power of data management. Emphasising the significance of "Big Data" and the globalised nature of online data, students will explore how these concepts shape the future of information, especially within the context of artificial intelligence. Through hands-on activities and engaging discussions, students will develop proficiency in handling data to derive meaningful insights, preparing them for the challenges and opportunities presented by the digital era.

Students will develop:
● Skills in designing and applying usability principles for UI (User Interfaces) and UX (User Experience)
● Knowledge and understanding of how digital systems manage, control and secure access to data along with the legal, social and ethical issues.
● Decompose real-world problems, plan, collaborate on, and manage agile projects
● Skills in object-oriented programming languages to implement, modify and debug
modular programs, applying selected algorithms and data structures.

Pathways

This subject provides a foundation for further studies of Digital Solutions in Years 11 and 12. The skills developed may also have application to other (Humanities/Science/Arts/Technology) subjects. For pathways beyond school, please refer to the senior course descriptions.

Structure

Unit 1: User Experience

Designing for Impact

  • Build professional-quality websites using HTML, CSS and JavaScript, bringing ideas to life with interactive and responsive features.

  • Explore the art and science of design through usability principles and visual communication principles.

  • Use design thinking and prototyping to develop innovative systems that solve real-world problems.

  • Work with client-style briefs, learning how to meet requirements, communicate ideas, and refine solutions based on feedback.

  • Explore how AI shapes modern user experiences, from personalised content recommendations to adaptive interfaces that respond to individual user needs

Assessment: Project - Client Brief

Unit 2: Big Data

Turning Information into Insight

  • Examine the ethical and privacy implications of AI-powered data collection and decision-making.

  • Build dynamic, data-driven solutions using server-side programming with PHP and SQL to bring ideas to life.

  • Solve real-world problems by collecting, organising, and managing data like a data scientist.

  • Learn to design, document and manage a relational database system, ensuring data is accurate, reliable, and secure.

Assessment: Practical and Theory Test

Contact

Mrs Natalle Sutton

nsutton@mfac.edu.au

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