Scientific Models Lecture Notes

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A comprehensive set of practice flashcards covering the definitions, types, examples, and limitations of scientific models such as diagrams, physical replicas, mathematical representations, analogies, and computer simulations.

Last updated 10:26 AM on 6/15/26
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23 Terms

1
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What are the five types of models used in science categorized in the lecture?

Diagrams, physical replicas, mathematical representations, analogies, and computer simulations.

2
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Why are models used to help visualize concepts in science?

They are used for concepts that are particularly difficult to see because they are too large or too small for the human eye.

3
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According to the notes, what is the definition of diagrams?

2D representations that are simplified versions of concepts, processes, or objects that are either too big or too small to be observed.

4
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What are the key limitations of using 2D diagrams as models?

They are 2D and therefore cannot show depth or movement.

5
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List the five examples of diagrams provided in the lecture.

  1. The atomic model, 2. The cell model, 3. The eye model, 4. The heart model, 5. The wave model.
6
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How is a physical replica defined?

A physical model that usually attempts to take an aspect of a scientific phenomenon and show how it works.

7
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What are the limitations of physical models?

They are expensive and time-consuming to make, and it may be difficult to get appropriate detail for scale and size.

8
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Name five examples of physical models mentioned in the notes.

Solar system model, the skin model, DNA, electric motor, and steam engine.

9
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How are mathematical representations used in science?

They demonstrate the relationship between two or more scientific concepts and are presented in a formula.

10
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What are the five mathematical model formulas listed in the notes?

  1. F=maF = ma, 2. p=mvp = mv, 3. S=ut+12atS = ut + \frac{1}{2}at, 4. C=nvC = \frac{n}{v}, and 5. E=mc2E = mc^2.
11
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What is a limitation of mathematical models?

They require mathematical understanding and data to substitute into the formula.

12
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Provide the Drake Equation formula as shown in the notes if $N$ is the number of civilizations.

N=R×fp×ne×fl×fi×fc×LN = R \times f_{p} \times n_{e} \times f_{l} \times f_{i} \times f_{c} \times L

13
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What is the definition of an analogy in a scientific context?

The comparison between one thing to another used as a way to explain a concept in terms the audience may have experienced.

14
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What analogy is used to describe a tectonic plate?

A tectonic plate is like the cracked shell of an egg.

15
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What is a limitation of using analogies?

They are based off understanding of other concepts and language conventions, meaning they are not internationally transferable.

16
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What are computer simulations and how do they work?

The newest type of model, which uses complex mathematical models called algorithms to quickly compute possible relationships.

17
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List four examples of computer simulations.

Weather predictions, flight simulators, car crash modelling, and disaster predictions.

18
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What three factors are epidemic models based on?

Knowledge of pathogens, understanding the mechanism of disease spread, and knowing vaccination coverage.

19
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What is GLEAM and what is its purpose?

Global Epidemic and Mobility Model; it uses epidemic models to predict disease spread and how to limit this spread.

20
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Define the Steady state model of the universe.

A model where the universe has no beginning or end in time, new matter is generated at the center, expansion is observed, and the density remains constant.

21
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Define the Big Bang Theory as a model of the universe.

A model suggesting the universe is always expanding outwards from a 'singularity' and the density of the universe is decreasing.

22
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What is the difference between a scientific concept and a scientific process?

A concept is an abstract idea like the structure of a cell, while a process describes the interactions between system components or a sequence of events like protein synthesis.

23
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When are models typically used for experimentation?

When it is either impossible or impractical to create conditions in which scientists can directly measure outcomes due to time frames, size, or cost.