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- Catalog Description
- 537 Communication Networks. II, Odd Yrs; 3 cr. Study of
communication networks. Layered
network architecture. Queueing theory: Little's
theorem, M/ and M/G/1 queues, Jackson
networks. Data link control: error detection,
retransmission strategies, framing. Network layer:
flow control (window flow control), routing
(shortest-path routing, flow models, optimal routing).
Multiaccess communications: random access and Aloha,
carrier sensing, multiaccess
reservations. Circuit switched networks. P: ECE 331 or Math/IE 632, or cons inst.
- Course Prerequisite(s)
- Prerequisite knowledge and/or skills
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probability
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stochastic processes
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Markov chains
- Textbook(s) and/or other required material
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D. Bertsekas and R. Gallager, Data Networks, Second Edition, Prentice Hall, 1992.
- Course objectives
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This course provides an introduction to communication networks. The main focus of the course is on basic principles, modeling, and quantitative analysis.
- Topics covered
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Introduction
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Traffic Modeling, Performance Measures
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Medium Access Control
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Switching
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Traffic Policing, Shaping, and Scheduling
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Flow Control
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Routing
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Call Admission Control and Call Blocking
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Pricing
- Class/laboratory schedule
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three 50-minute or 2 75-minute lectures/week
- Contribution of course to meeting the professional component
- This course contributes primarily to the students' knowledge of engineering topics, but does not provide design experience.
The following statement indicates which of the following considerations are included in this course: economic, environmental, ethical, political, societal, health and safety, manufacturability, sustainability.
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societal
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manufacturability
- Relationship of course to undergraduate degree program objectives and outcomes
- This course primarily serves students in the department. The information below describes how the course contributes to the undergraduate program objectives.
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knowledge in the basic techniques of mathematics and the physical sciences
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basic skill in methods of design and analysis across a broad range of electrical and computer engineering areas
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knowledge of measurement techniques and experimental procedures in core electrical and computer engineering applications
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advanced expertise in design, analysis, and fabrication techniques within a student-selected electrical and computer engineering concentration area
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strong skills in problem solving, leadership, and communication
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a capacity to use their engineering education to contribute to their communities
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the ability to make thoughtful, well-informed career choices
- Assessment of student progress toward course objectives
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weekly homework assignments
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exams
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student projects