Course Outline: Students create practical, innovative solutions to problems of interest. By extracting, interpreting, and modelling real-world data sets, students identify trends to examine sustainable solutions to problems in, for example, business, industry, the environment, and the community. They investigate how potential solutions are influenced by current and projected social, economic, environmental, scientific, and ethical considerations, including relevance, originality, appropriateness, and sustainability.
Innovation in Digital Technologies involves students creating new ways of doing things, generating their own ideas and creating digital solutions problems of interest. They design solutions that may take the form of a product, prototype, and/or proof of concept, and are encouraged to experiment and learn from what does not work as planned, as well as from what does. Innovation may also include students designing solutions that improve existing processes or products.
Students use computational thinking skills and strategies to identify, deconstruct, and solve problems that are of interest to them. They analyse and evaluate data, test hypotheses, make decisions based on evidence, and create solutions. Through the study of Digital Technologies, students are encouraged to take ownership of problems and design, code, validate, and evaluate their solutions. In doing so, they develop and extend their understanding of designing and programming, including basic constructs involved in coding, array processing, and modularisation.
Students develop and apply their skills in computational thinking and in program design They engage in iterative project development, where a product or prototype is designed and tested and/or implemented in stages. They follow agile practices and/or iterative engineering design processes. Learning environments in Digital Technologies may include physical, online, and/or simulated spaces.
Digital Technologies promotes learning through initiative, collaboration, creativity, and communication, using project- and inquiry-based approaches.
Topics Included:
Computational thinking skills are integral to each focus area, together with applying program design skills and exploring innovation. Students analyse patterns and relationships in data sets and/or algorithms and draw conclusions about their usefulness in defining the problem.
In developing and applying their program design skills, students develop and extend their understanding of program design methodology. They take a structured approach to designing an algorithm or digital solution (product, prototype, and/or proof of concept) that is appropriate to the context of the problem, and meets the needs of the intended user. They code, test, and evaluate their solutions.
In Advanced Programming, students extend their programming skills with a particular focus on problem solving. While in Exploring Innovations students apply their creativity and critical thinking skills to explore developments in digital innovations, develop ideas, and create digital solutions.
Assessment: The following assessment types enable students to demonstrate their learning.
Project Skills
Digital Solution
Students provide evidence of their learning through four assessments. Each assessment type should have a weighting of at least 20%.
Students complete:
at least two project skills tasks
at least one digital solution.
Students must have the opportunity to work collaboratively in at least one assessment.
Credit Points: 10
Length of course: Semester
Recommended Background: Satisfactory completion of a Year 8 - 10 Digital Technologies and Stage 1 Digital Technologies - Programming and Data Analytics
Course Outline:
Students create practical, innovative solutions to problems of interest. By extracting, interpreting, and modelling real-world data sets, students identify trends to examine sustainable solutions to problems in, for example, business, industry, the environment, and the community. They investigate how potential solutions are influenced by current and projected social, economic, environmental, scientific, and ethical considerations, including relevance, originality, appropriateness, and sustainability.
Innovation in Digital Technologies involves students creating new ways of doing things, generating their own ideas and creating digital solutions problems of interest. They design solutions that may take the form of a product, prototype, and/or proof of concept, and are encouraged to experiment and learn from what does not work as planned, as well as from what does. Innovation may also include students designing solutions that improve existing processes or products.
Students use computational thinking skills and strategies to identify, deconstruct, and solve problems that are of interest to them. They analyse and evaluate data, test hypotheses, make decisions based on evidence, and create solutions. Through the study of Digital Technologies, students are encouraged to take ownership of problems and design, code, validate, and evaluate their solutions. In doing so, they develop and extend their understanding of designing and programming, including basic constructs involved in coding, array processing, and modularisation.
Students develop and apply their skills in computational thinking and in program design They engage in iterative project development, where a product or prototype is designed and tested and/or implemented in stages. They follow agile practices and/or iterative engineering design processes. Learning environments in Digital Technologies may include physical, online, and/or simulated spaces.
Digital Technologies promotes learning through initiative, collaboration, creativity, and communication, using project- and inquiry-based approaches.
Topics Included:
Computational thinking skills are integral to each focus area, together with applying program design skills and exploring innovation. Students analyse patterns and relationships in data sets and/or algorithms and draw conclusions about their usefulness in defining the problem.
In developing and applying their program design skills, students develop and extend their understanding of program design methodology. They take a structured approach to designing an algorithm or digital solution (product, prototype, and/or proof of concept) that is appropriate to the context of the problem, and meets the needs of the intended user. They code, test, and evaluate their solutions.
In Advanced Programming, students extend their programming skills with a particular focus on problem solving. While in Exploring Innovations students apply their creativity and critical thinking skills to explore developments in digital innovations, develop ideas, and create digital solutions.
Assessment:
The following assessment types enable students to demonstrate their learning.
Students provide evidence of their learning through four assessments. Each assessment type should have a weighting of at least 20%.
Students complete:
Students must have the opportunity to work collaboratively in at least one assessment.
Additional Costs: