Week 2.3. Computational Thinking

Computational Thinking

Decomposition: breaking down data, processes, or problems into manageable parts
Identify inputs and outputs
Pattern recognition: observing patterns, trends, and regularities in the data
Abstraction: identifying the general principles behind the patterns
Algorithm design: developing the step-by-step instructions for solving this and similar problems
Organisation of data: how to store intermediate calculations
Testing: challenge your algorithm – where does it go wrong?

Even small apps have 000s of lines.
Most apps developed by teams.
Identify manageable features:

Game:

Volunteer student spokesperson
You turn your back
Spokesperson hands a token to an audience member
Goal: locate the token with yes/no questions
You have to find the token – what is your strategy?