This introductory course provides the basics of the formation, transmission and reception of information over communication channels. Spectral density and correlation descriptions for deterministic and stationary random signals. Amplitude and angle modulation methods (e.g. AM and FM) for continuous signals. Carrier detection and synchronization. Introduction to digital communication. Binary ASK, FSK and PSK, noise effects, optimum detection: matched filters, maximum-likelihood reception. Basic courses in Probability Theory and Linear Systems are prerequisite requirements to take this course.
Principles and practices of modern data communication systems. Topics include pulse code transmission and error probabilities, M-ary signaling and performance, AWGN channels, band-limited and distorting channels, filter design, equalizers, optimal detection for channels with memory, synchonization methods, introduction to wireless communications. The courses: Introduction to Communication Systems (or equivalent) and Random Signals and Noise are prerequisite requirements to take this course.
The course will cover topics in wireless communications, including: wireless propagation channels (mechanisms, statistical description, characterization and modeling), modulation and demodulation, diversity methods, OFDM, spread spectrum, CDMA and channel coding. Applications of these systems, including the evolution of cellular telephony and sensor networks would be discussed as well. The courses: Introduction to Communication Systems (or equivalent), Random Signals and Noise and Digital Data Communication are prerequisite requirements to take this course.
This course covers communication networks in general and the internet in particular. Topics include layers service models, circuit and packet switching, queuing, pipelining, routing, packet loss and more. A five-layer model is assumed and the top four levels are covered in a top-down approach: starting with the application layer, going down through the transport layer to the network layer and finally the data link layer. Emphasis is placed on wireless networks and network security. A basic course in probability theory is prerequisite requirement to take this course.