Exploring Randomness in Computer Science

Exploring Randomness in Computer Science

Learning Objective

At the end of the lesson, you will be able to define 'random' in computer science, identify similar and opposite words to 'random,' and understand examples of randomness in computer science.

What do you already know about randomness in computer science?

Definition of Random in Computer Science

Random in computer science refers to a process or event that lacks predictability or follows no specific pattern.

Similar Words to Random

Synonyms for random in computer science include 'chance,' 'unpredictable,' and 'haphazard.'

Opposite Words to Random

Antonyms for random in computer science include 'deterministic,' 'predictable,' and 'systematic.'

Examples of Random in Computer Science

Examples of random in computer science include generating random numbers, shuffling decks of cards, and simulating unpredictable events.

Example: Generating Random Numbers

Random number generation is crucial in cryptography, simulation, and games to introduce an element of unpredictability.

Example: Shuffling Decks of Cards

Random shuffling ensures fairness in card games and prevents players from predicting the order of the cards.

Example: Simulating Unpredictable Events

Computer simulations can model natural phenomena like weather patterns or the behavior of crowds by incorporating randomness.

Write down 3 things you learned in this lesson.

Have students enter three things they learned in this lesson. With this they can indicate their own learning efficiency of this lesson.

Write down 2 things you want to know more about.

Here, students enter two things they would like to know more about. This not only increases involvement, but also gives them more ownership.

Ask 1 question about something you haven't quite understood yet.

The students indicate here (in question form) with which part of the material they still have difficulty. For the teacher, this not only provides insight into the extent to which the students understand/master the material, but also a good starting point for the next lesson.