This is my first lecture about data communication and its importance,the components of a datacommunication and networks and distributed processing.

1. Course Instructor : Sehrish Rafiq
Department Of Computer Science
University Of Peshawar
Data Communications & Networking
Lecture-01

2. Readings recommended
 Data Communications & Networking 3rd Edition by Behrouz
A.Forouzon
 Data & Computer Communications 6th edition by william stallings

3. Lecture Overview
 What is Data communication?
 Importance of Data communication
 Fundamental characteristics of a data communication system
 Components of a data Communication system
 Networks & distributed processing

4. What is Data Communication?
 The word data refers to facts,concepts and instructions presented in
whatever form is agreed upon by the parties creating and using the
data.
 In context of computer information systems data are represented by
binary information units(or bits) produced and consumed in the form of
0’s and 1’s.
 Data Communication is the exchange of data (in the form of 0’s and 1’s)
between devices via some form of transmission medium(such as a wire
cable).
 Local and remote data communication
 For data communication to occur the communicating devices must be a
part of a communication system made up of a combination of hardware
& software.

5. Why study data communication?
 Entertainment
 Business
 Education & research
 Space missions
 PC revolution
 Telecommunications

6. Fundamental characteristics of a data
communication system
 The effectiveness of a data communication system depends on
three fundamental characteristics:
 Delivery
 Accuracy
 Timeliness

7. Components of a Data communication system

8. Networks
 A network is a set of devices(often referred to as nodes)
connected by media links.
 A node can be a computer, printer or any other device capable of
sending and/or receiving data generated by other nodes on the
network.
 The links connecting the devices are often called communication
channels.

9. Distributed Processing
 In distributed processing a task is divided among multiple
computers.
 Instead of a single large machine being responsible for all
aspects of a process,each separate computer handles a subset.
 Advantages of distributed processing:
 Security/Encapsulation e.g. ATM
 Distributed databases e.g. World Wide Web
 Faster Problem solving e.g. Encryption Codes
 Security through redundancy e.g. space programs
 Collaborative processing e.g. Games in a multi-user environment

10. HAVE A NICE DAY!!!