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Learn the Fundamentals of Computer Networking. Design, implement, and troubleshoot computer networks.
IT and Software ,Network and Security,Computer Network
Lectures -107
Duration -8 hours
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Computer Networks Online Course is designed to teach you the fundamentals of computer networking. You will learn about the different layers of the OSI model, the most common network protocols, and the technologies used to build computer networks.
Computer networks are essential for communication and collaboration in today's world. They allow us to share files, access information, and communicate with others from anywhere in the world. This course will teach you the fundamentals of computer networking, so you can understand how these networks work and how to use them effectively.
This course is an introduction to computer networking. It is designed for students with no prior experience in networking. The course will cover the fundamental concepts of networking, but it will not go into the depth of a more advanced course.
The OSI model
Network protocols
Network topologies
Network technologies
Network security
Introduction to Computer Networks
Overview of Networking
Network Models
Network Data and Signals
Digital Transmission Modes
Analog Transmission Modes
Multiplexing For Bandwidth Utilization
Transmission Media
Switched Networks
Error Detection and Correction
Data Link Control
Multiple Access Protocol
Connecting LANs
Wireless WANs With Satellite Networks
Network Layer Logical Addressing
Network Layer Routing Protocol
Domain Name System
Electronic Mail
Network Security With Cryptography
Master the fundamental concepts of computer networking.
Develop the skills to design and implement simple computer networks.
Prepare for more advanced courses in computer networking.
Understand the basic concepts of computer networking.
Design and implement simple computer networks.
Troubleshoot common network problems.
Apply your computer networking knowledge to real-world scenarios.
Basic knowledge of computer science, such as data structures and algorithms is recommended.
Check out the detailed breakdown of what’s inside the course
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