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