Y7 Computational thinking

What is computational thinking?

• Thinking like a computer.

• Techniques used to solve problems.

• Computer programming

What is the best way to solve a difficult problem in computer science?

• Break the problem down and solve it in small chunks.

• Try and solve the problem in one go.

• If you can do it straight away you should give up.

Which of the following is useful when solving a difficult problem in computer science?

• Not reading the instructions.

• Doing something else until the answer pops into your head.

• Focusing on the important parts of the problem and ignoring the unimportant parts.

Which of the following IS an example of thinking computationally?

• When going to meet a friend, wandering around until you find them?

• When going to meet a friend ask someone else to plan the route.

• When going to meet a friend, plan out your route beforehand.

Which of the following is NOT an example of computational thinking?

• Letting the bossiest decide what to do.

• Thinking about the different options before choosing the best one.

• Discussing the options with others.

What is a complex problem?

• A problem that is not easy to solve or understand at first.

• A problem that you can solve straight away.

• A problem that is too hard so you shouldn't try to solve it.

Which computational thinking technique involves breaking a problem down into smaller parts?

• Decomposition

• Abstraction

• Algorithms

Which of these is a good idea when trying to solve a difficult problem?

• Ignore any advice.

• Don’t plan as it takes too long, just get on with it.

• Plan out how you intend to solve the problem.

Which one of these best describes abstraction?

• Drawing a flow diagram.

• Removing the unimportant parts of the problem.

• Breaking the problem down into smaller chunks.

When creating a computer program to guide a turtle to draw a shape, which of these is the most important problem to work out first?

• The colour of the shape.

• How fast the turtle will move.

• The angles of the shape.