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