Marianville · Grade 11 ICT
Grade 12 · Term 1 · Unit 1 · Simulations · Chapter 2

Models & Simulation — Types and Purpose

Week 2 · Benchmark 12.5.1.1 Explore models and simulations
Essential question

Why do engineers, scientists and planners use models instead of the real thing?

Learning objectives
  • Define a model and a simulation
  • Classify models as physical, mathematical or computer-based
  • Distinguish deterministic vs stochastic and discrete-event vs continuous simulations

Overview

A model is a simplified copy of something real. A simulation runs a model over time to see what would happen. Weather forecasters, traffic planners in Port Moresby, and airlines all use simulations because doing the real experiment would be slow, dangerous, or impossibly expensive. This week we meet the main types of models and see when each is used.

A wooden scale model of a bridge, paper graphs and equations, and a laptop showing a 3D simulation side by side on a desk.
The three families of models: physical (scale bridge), mathematical (equations and graphs on paper) and computer-based (3D simulation on a laptop).
Marianville ICT — generated illustration · CC BY 4.0
Computer screen displaying a swirling tropical cyclone simulation over the Pacific with data overlays.
A weather simulation of a tropical cyclone near PNG — a computer model running forward in time so forecasters can plan before the real storm arrives.
Marianville ICT — generated illustration · CC BY 4.0

Three families of models

We usually group models into three families based on what they are made of.

The three families are:

  1. Physical models: A real object built to scale — a model bridge, a plastic anatomy heart.
  2. Mathematical models: Equations that describe how something behaves — Ohm's law, projectile motion.
  3. Computer models: Software that combines many mathematical rules — climate models, traffic simulators.

Deterministic vs stochastic

A deterministic simulation always gives the same result for the same inputs (e.g. a projectile calculator). A stochastic simulation includes randomness — like a queue simulation where customer arrivals vary — and gives a slightly different result each run.

Discrete-event vs continuous

Discrete-event simulations jump from event to event (a customer arriving, a truck leaving). Continuous simulations update smoothly with time (water flowing through a pipe, temperature changing in a room).

Activity

Classify PNG examples

  1. In pairs, place each example on the correct family: PMV route planner, Sepik River flood model, model canoe, HR salary spreadsheet.
  2. Then decide whether each is deterministic or stochastic, and discrete or continuous.
  3. Report to the class with a one-line reason for each classification.
Review questions
  1. What is the difference between a model and a simulation?
    Reveal answer

    A model is the simplified representation; a simulation is running that model over time.

  2. Is a projectile calculator deterministic or stochastic?
    Reveal answer

    Deterministic — same inputs give the same output.

  3. Give one PNG example where simulation is safer than the real experiment.
    Reveal answer

    Testing a flood plan for the Sepik or Ramu river before it happens.

Take it home

Find one news story where a simulation was used to plan or predict something in PNG or the Pacific.

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