L3 Unit 1, Computational Thinking

Level 3, Unit 1 - Computational Thinking (10 credits)

1. understand the computational problem solving process.	2. be able to apply number systems and logic to computing problems.	3. analyse problems to create computational solutions.
1.1 demonstrate how abstractions represent complex data structures and instructions.	2.1 use mathematical functions in practical algorithms.	3.1 work collaboratively and persistently to achieve a good computational solution.
1.2 consult with relevant industry professionals and academics to improve solutions.	2.2 explain how digital computers can work with a full range of real numbers.	3.2 explain computational solutions in terms of sequential automated steps.
1.3 iteratively refine solutions to improve efficiency and effectiveness.	2.3 analyse expressions in boolean logic to simplify them.	3.3 identify practical problems suitable for a computational solution.
1.4 organise data in terms of logical patterns.	2.4 explain the difference between packed and unpacked binary coded decimal.	3.4 find ways of making computational solutions more efficient.
1.5 use multiple algorithms to solve complex problems.	2.5 explain the relationship between binary and hexadecimal numbers.	3.5 analyse complex problems into simpler related components.