.

1. MODEL AND SIMULATION
𝐒𝐓𝐄𝐋𝐋𝐀® SIMULATION:
POPULATION MODEL
SBI3013
ICT in Biology

2. Group
Member
D20181082896
NUR ZAFIRAH
BINTI ABD
RAHMAN
D20181082940
MURSHIDA ADNI
BINTI MUHD
GHAZALI
D20181082942
CLEARVIANA
FRANKIE YONG
D20181082879
TIONG MING
MING
D20181082931
IVY CHRISTIE
ANAK ENDAH

3. Introduction
What is :
- Model
- Simulation
- Computer Simulation
- Population

4. Model
A representation of an object, a system or an
idea in some form other than that of the entity
itself.

5. Simulation
The operation of a model, which is a
representation of that system.

6. Computer Simulation
The use of technology devices
to implement the model or
the dynamic responses in
an animated sequence.

7. Population
A group of identical organisms live
together under the same geographical
area at the same time.

8. Enable experiment that
out of reach
Advantages
Can be used to make
prediction
Time - saving

9. May not be as accurate
Disadvantages
Require expensive
hardware and software
The credibility is doubtful

10. Results
and
Discussion
Observation of how long population could
life (lifespan) based on birth rate (birth
fraction).
This simulation involves two variables
The manipulated variable (X-axis) in this
graph is lifespan.
The responding variable in this graph is birth
fraction (Y-axis).
(parameter).
MODEL BY BILLY SCHOENBERG-
“POPULATION”.

11. Understanding
icon in model
simuation

12. No changes
of parameter
The graph shows the normal graph to
observe the relationship between the
lifespan (years) and birth fraction of the
population.
This graph involves no changes of
parameter.

13. Stop time changes
from 50 to 40
The lifespan being adjusted from 0.0
years- 50.0 years to 0 years- 40 years

14. DT changes from
1/4 to 1/3

15. Changes of both
parameter of stop
time and DT

16. Conclusion
By the use of population model and
simulation, it allows us to analyze the
concept, predict possible outcomes,
generate statistics and perform analysis
regarding the population.