6. 1.1 Abstract system
Abstract systems are
conceptual or non
physical entities.
Program in a computer is
an abstract system.
They may be models-the
abstract conceptualization
of physical situations.
An abstract system is an
orderly arrangement of
interdependent ideas or
constructs.
7. 1.2 Physical system
Physical systems are tangible
entities that may be static or
dynamic in operation.
For Example, the physical parts
of the computer center are the
offices, desks, and chairs that
facilitate operation of the
computer.
They can be seen and counted,
they are static.
A physical system is a set of
elements which operate together
to accomplish an objective.
9. 2.1 Open system
A system that interacts freely with its
environment,
It takes Input from environment and
gives Output back to environment.
Open systems are self – adjusting
and self-regulating.
Open systems resist entropy by
seeking new inputs or modifying the
processes to return to a steady state.
Open systems are Adaptive in nature.
It gets influenced by the changes
taking place in the environment.
Example - a computer program with
well defined inputs, a process and an
output.
10. 2.2 Closed system
A system that is cut off from its
environment and does not interact with
it
It neither take input nor provides
output to environment.
Self contained, self sufficient systems.
Might run down over time, resulting
in entropy or loss of energy.
Closed systems are non adaptive
It remains uninfluenced by the
environmental changes.
Such systems, in business world, are
rare.
Example - A chemical reaction in a
sealed, insulated container.
12. 3.1 Manual system
Here data collection,
manipulation and final
reporting is done absolutely by
human efforts.
It can handle less volume of
data.
Their processing speed is
relatively slow and change of
human error is always there.
Data are difficult to transmit
from one place to another.
Data analysis can be done only
on sample and conclusion is
drawn about population.
13. 3.2 Automated system
Here computer or
microprocessor perform
all the tasks.
It can handle relatively
huge volume of data
which is not possible by
human efforts.
It offers quick and
accurate processing of
data.
Data can be transported
easily through computer
network.
Full population can be
analyzed.
15. 4.1 Deterministic system
It behaves in a Predictable
manner.
The current state of the
system is known to us then
its future state can be
determined.
It has strong relationship
among elements.
Example: A program to find
the factorial of the entered
number, calculators etc.
16. 4.2 Probabilistic system
It behaves in a
Unpredictable manner.
The future state can’t be
determined even if the
current state is known for
sure.
It has weak relationship
among the elements.
Example: Weather
forecasting system.