This document discusses the basic concepts of object-oriented programming (OOP). It defines objects as instances of classes, and classes as user-defined data types that contain variables and functions. It describes data abstraction and encapsulation as wrapping data and functions into a single class unit. Other key concepts covered include inheritance, polymorphism, dynamic binding, and message passing. Benefits of OOP like reusability and mapping to real-world objects are highlighted. Real-time systems, databases, and modeling are some example applications of OOP.

1. Basic concepts of oop
R.Prabhu
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2. • It is necessary to understand some concept
used extensively in oop. These include:
• Object
• Classes
• Data abstraction and encapsulation
• Polymorphism
• Dynamic binding
• Message passing
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3. Objects:
• In OOP, a problem is considered as a
collection of a number of entities called
objects. Objects are instances of classes.
Classes:
• It is user defined data type. It consists of
variable & functions
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4. Data abstraction and
Encapsulation
• The wrapping up of data and functions into a
single unit (called class) is known as
encapsulation. Data encapsulation is the most
striking features of a class.
• Abstraction refers to the act of representing
essential features without including the
background details or explanations.
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5. Inheritance:
• Inheritance is the process by which objects of
one class acquire properties of objects of
another class
Polymorphism:
• Polymorphism means one name, multiple
forms. It allows us to have more then one
function with the same name in a program.
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6. Dynamic binding:
• Binding refers to the linking of a procedure
call to the code to be executed in response to
the call.
• Dynamic binding also known as late binding
• It associated with polymorphism and
inheritance.
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7. Benefits of OOP
• It is possible to have multiple instances of an
object to co-exist without any interference.
• It is possible to map objects in the problem
domain to those in the program.
• It is easy to partition the work in a project
based on objects.
• Software complexity can be easily managed.
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8. Applications of OOP
• Real-time systems
• Simulation and modeling
• Object-oriented database
• Hypertext, hypermedia and expertext
• Expert systems
• Neural networks and parallel programming
• Decision support and office automation systems
• CIM/CAM/CAD systems
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9. THANK YOU…
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10. THANK YOU…
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