ECE313 Computer Networks I

• Probability and Queueing Theory.
• Standards, Network models.
• OSI protocol stack and TCP / IP.
• Application Layer.
• Transport Layer.
• Network Layer.
• Data Link Layer.
• Internet Technologies and Electronic Support Services.

The purpose of this course is to present the area of computer networks and the Internet, technology and basic analysis of the principles of their operation. This is the basic introductory course in the concepts of computer networks.
At the completion of the course the student would be able to:

• Identify the key technologies of Internet and Computer Services and have a basic understanding of the division of functions of a telecommunications network to a ” vertical ” stack of levels . Also as part of the laboratory exercises collaboration is promoted among students so that they can create and produce joint studies on telecommunications traffic and communication protocols. There it is also checked their ability to present the basic concepts of computer networks.
• Have a basic understanding of the division of functions of a telecommunications network to a “vertical” stack of layers. They will also be able to understand the basic principles of mathematical modeling of computer networks using probability tools and queuing theory. Also have a solid first knowledge about the relationship between mathematical modeling and the protocol stack in computer networks operations.
• Be familiar with the basic functions performed at these layers, with emphasis on Application layer , Transport , Network and Data Link Layer and be able to analyze their relationships, their organization and their structure.
• As part of the laboratory exercises the use of applied knowledge to solve network problems is promoted for problems regarding telecommunication traffic. Also it is examined whether knowledge of subdividing the functions of a telecommunications network to a vertical stack are understood in depth so that it can be a tool to resolve new problems.
• (synthesis/evaluation )understand the relationship between the tools of probability and queuing theory with network modeling and the relations between the levels of the protocol stack, while also have the ability to evaluate new technologies associated with computer networks.