Faculty of Engineering and Applied Sciences

Under Graduate - Results Found per page: 5

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ECE439 - Data Communication Networks

Faculty : Faculty of Engineering and Applied Sciences
School : Electronics and Communications Engineering

Prerequisit Course : ECE326
Credit Hours : 3.00
Offered For : Under Graduate

Course Description :

Basic concepts, network topologies, and networks models. Local area networks (LANs) and IEEE 802 standards, shared and bridged Ethernets, switched Ethernets, physical layer, media access control (MAC) sublayer, carrier sense multiple access with collision detection (CSMA/CD) protocol. Fast and Gigabit Ethernets. Internetworking devices and routing protocols, gateways and routers, routing information protocol (RIP), open shortest path first (OSPF) protocol, Dijkstra algorithm, border gateway protocol (BGP). Internet addressing and subnetting, classful and classless addressing, subnet design and assignments, variable length subnet masks (VLSMs), network address translation (NAT) protocol. Network layer protocols and IP protocols. Wireless LANs and IEEE 802.11 protocol, MAC sublayer and CSMA/CA protocol, hidden and exposed station problems, frame format and addressing mechanism. Wide area networks (WANs), virtual circuit switching and packet switching, frame relays, asynchronous transfer mode (ATM).
ECE440 - Optical Communications Systems

Faculty : Faculty of Engineering and Applied Sciences
School : Electronics and Communications Engineering

Prerequisit Course : ECE436
Credit Hours : 3.00
Offered For : Under Graduate

Course Description :

Why optical communications. Modulation of light-emitting and laser diodes; LED analog modulation, LED digital modulation. Difficulties in laser diodes’ transmitters, laser diode analog modulation, laser diode digital modulation. Advanced modulation techniques; optical amplitude- and phase-shift keying. Mach-Zehnder Modulators, quadrature modulators. Coherent detection; heterodyne and homodyne receivers. Receiver noise and direct detection; shot and thermal noise. Power launching and coupling; source-to-fiber power launching, fiber-to-fiber joints, power loss at fiber joints. Optical networks; directional and star couplers, network topologies, wavelength division multiplexers.
ECE441 - Microwave Engineering

Faculty : Faculty of Engineering and Applied Sciences
School : Electronics and Communications Engineering

Prerequisit Course : ECE328 and ECE411
Credit Hours : 3.00
Offered For : Under Graduate

Course Description :

Wave propagation and transmission; Uniform and non-uniform transmission lines; Rectangular and circular waveguides; Cavity resonators; Microstrips; Waveguide excitation; Scattering parameters for lumped and distributed systems; Junction waveguide components: tee’s, circulators, isolators, phase shifters, splitters, and directional couplers.
ECE442 - Antenna Engineering and Remote Sensing

Faculty : Faculty of Engineering and Applied Sciences
School : Electronics and Communications Engineering

Prerequisit Course : ECE328 and ECE411
Credit Hours : 3.00
Offered For : Under Graduate

Course Description :

Antenna parameters; Radiation potentials; Linear antennas: elementary dipole, short dipole, linear dipole. Antenna arrays. Loop antenna; Traveling wave antenna; Helical antenna; Yagi antenna; Aperture principles; Microwave antennas: horn, parabolic, lens and microstrip; Concept and types of remote sensing; Microwave remote sensing; Basic operation of radar.
ECE443 - Advanced Topics in signal processing

Faculty : Faculty of Engineering and Applied Sciences
School : Electronics and Communications Engineering

Prerequisit Course : ECE324
Credit Hours : 3.00
Offered For : Under Graduate

Course Description :

Discrete-time random processes, and linear algebra topics to support the mathematical developments of the course. Signal modeling as an output of a linear, time invariant filter, using least squares, Padé approximation, and Prony’s method. Autoregressive moving average, autoregressive, and moving average models. The Levinson-Durbin recursion and its variants. Lattice filters and lattice methods for all-pole signal modeling. Wiener filters. Discrete Kalman filter. Spectrum estimation methods. Adaptive filters. Quantization modeling and effects in filter design. Cepstrum analysis and homomorphic processing. Basic computational tools in Matlab corresponding to the above.