Digital technologies / Year 9 and 10 / Digital Technologies Processes and Production Skills

Curriculum content descriptions

Design algorithms represented diagrammatically and in structured English and validate algorithms and programs through tracing and test cases (ACTDIP040)

Elaborations
  • designing algorithms to solve real-world problems and describing algorithms using flow charts and structured English, for example START, END, IF and UNTIL
  • recognising that different algorithms can solve a problem with different trade-offs
  • tracing algorithms to predict results and program state for a given input, for example desk checking or using an interactive debugging tool
  • using tracing techniques to test algorithms, for example desk checking an algorithm for a given input by stepping through the algorithm while keeping track of contents of the variables
  • developing test cases that correspond to the requirements of the specifications, for example validating program behaviour on a range of valid and invalid user input
General capabilities
  • Literacy Literacy
  • Numeracy Numeracy
  • Critical and creative thinking Critical and creative thinking
  • ICT capability Information and Communication Technology (ICT) capability
ScOT terms

Diagrams,  Design,  Algorithms,  Data logging,  Desk checking,  Conditional statements

Downloadable

PyGame in a Day

As a general purpose programming language, python has a number of libraries that can be used for different purposes. PyGame is a free and open source python library that makes it easier to make multimedia applications like games.

Text

Kim review: Systems thinking

This article explores the types of systems in our world, their characteristics and how our behaviour can initiate and respond to changes in their performance. The author differentiates between systems thinking and a system and elaborates on those factors that contribute to systemic behaviour.

Text

Voskoglou & Buckley review: Problem solving and computational thinking

This article explores the relationship between computational and critical thinking as it applies to solving technological problems. Research evidence derived from classroom experiments strongly suggests that using computers to solve problems enhances students’ abilities in solving real-world problems involving mathematical ...

Text

Curzon & Bell et al. review: Computational thinking

This article explores the concept of computational thinking within computer science learning and in relation to other learning areas. The authors assert that because of its focus on analysis, computational thinking is not only suitable for computation but also the development of systems-based on computation.