2.1 Computational Thinking

Question 1

Computational thinking

Answer 1

Thinking about how a problem can be solved
-Formulate the problem as a computational problem
-Try to construct an algorithm to solve the problem

Question 2

Representational Abstraction

Answer 2

Representational abstraction is removing unnecessary detail

Question 3

Thinking abstractly

Answer 3

Removing unnecessary detail and including relevant details

Question 4

Thinking ahead

Answer 4

Identifying the preconditions, inputs, outputs and reusable components of a system

Question 5

Thinking procedurally

Answer 5

Breaking down a problem

Question 6

Thinking logically

Answer 6

Identifying decision points for branching or iteration

Question 7

Thinking concurrently

Answer 7

Multiple things happening at the same time

Question 8

Data mining

Answer 8

The analysis of large amounts of data to provide new information

Question 9

Heuristics

Answer 9

Data that provides a suitable but not necessarily accurate solution. A best guess

Question 10

Problem recognition

Answer 10

Knowing what the problem is

Question 11

Backtracking

Answer 11

Going back to a previously successful match to find another solution

Question 12

Performance modelling

Answer 12

Carrying out a mathematical analysis to assess efficiency

Question 13

Pipelining

Answer 13

The output of one process is the input to another

Queueing up processes

Question 14

Visualisation

Answer 14

A representation of reality using symbols, charts and colours