MODELLING AND SIMULATION

Modelling is about building representations of things in

real world and allowing ideas to be investigated, a central to all activities

in the process for building or creating an artefact of some form or other. Modeling

obtain a set of equations that describes the behavior of the system.

Models are means of understanding the problem involved in

building something. They are classified into three, physical mathematical and

process models. Physical models looks and feels like the real thing for example

statues. Mathematical uses mathematical symbols and relationships to describe

something. And lastly the process model which involves steps to be followed for

something to be done, for instance a flow chart.

Simulation can be

defined as the production of a computer model of something, especially the

purpose of study. Simulation uses the mathematical model to determine the

response of the system in different situations. Like modelling, simulation is

categorized into three types namely virtual, live and constructive. Live

simulations involves real people operating real systems for example practicing

baseball while virtual simulation is where simulated systems are operated my

real people then finally simulated people operates simulated systems under the

constructive simulation. Live, virtual and constructive simulations helps

individuals to become great decision makers because they learn how to handle

situations. Simulations also allows models to be tested before put into

construction.

Then modelling and simulation involves the use of models as

a basis of simulations to develop data as a basis for managerial or technical

decision making. Also seen as the way of appreciating the world around us

through creativity and imagination. This can facilitate understanding a

system’s behavior without actually testing the system in real world.

HISTORY OF MODELLING AND SIMULATION

This module was designed to promote awareness to students

about how technology has improved over the years. This includes mathematical

models technical decision making innovative applications, simply appreciating

how far they have been useful to representation of things in real world. This course was made to provide a powerful

platform on how to familiarize ourselves with modelling abilities so as to

assess the dynamic behavior of real systems which involves verifying and

solving the model including construction and modelling formalism among others. The

students also appreciate the fact that the modelling and simulation module does

not require any prerequisite which means anyone can learn it.

IMPORTANCE OF SIMULATION AND MODELLING

One importance of simulation is its ability to display a

practical feedback. As mentioned earlier, simulation help designers to measure

how correct the model is before it is develop hence taking into consideration

the medical field where the drug need to be tested by machines before it is

made ready for use. Simulation is used as a means of minimizing costs because

it is preferred to conduct experiments that are said to be impossible and very

expensive in real life. Modern systems such as high technology factories are too

complex that the interactions can be treated only by simulation. It offers

opportunities for firsthand experiments because learners explore what they

learnt in class and they tend to realize the relationship of mathematical

equations.

In cases of mathematical simulations, it becomes clearer to

learners to understand the methods behind every concepts making it easier for

them to prosper academically. This means if simulation can be taught at earlier

age there will be smarter problem solvers who will beat the latest technologies

moreover discovering their potentials in this industry.

It is very easy to identify constraints on a simulated model

which means they can be solved before the construction of a physical model.

This can also apply in the aircraft industry where a fault in a newly invented

aero-plane can be identified before its construction. This also save lives, in

general, simulation save lives

When dealing with simulated systems it is easy to upgrade it

into a better and more efficient product. Taking cars into consideration for

example, when a BMW want to produce better car, the don’t start afresh, they

just edit the simulated system, doing little touches, adding few qualities

corresponding to what they want to have at the end which a faster, less fuel

consuming car.

Even though simulation is used for many systems, there are cases where it is

not appropriate to use simulation for instance, if the problem can be solved

analytically or when it is easier to perform direct experiments.

APPLICATIONS OGF MODELLING AND SIMULATION

Designing an automobile, the knowledge of simulation help in

designing a perfect aircraft that can withstand all the conditions like hash weather

and crashes. This is implemented through testing of a simulated system before

the actual model is created hence saving money because there will be no crashes.

Military application is one of the crucial fields of application

of simulation. Different powerful and more dangerous weapons are created

therefore before they are brought to production they go through analysis in the

simulated systems. How these weapons affect the environment can be minimized hence

the production of powerful but more environmentally friendly weapons.

One of the most important application of simulation is under

weather forecast. All the machines used to predict the weather where high

temperatures are simulated using powerful computers. If the model is correct,

then it can be used to tell future weather for up to the maximum of weeks if

not months.

Another application is for civil engineers, during the

constructions of big buildings and bridges.