Radio wave propagation: Surface waves, space waves, and sky wave propagation, ionospheric effects; atmospheric effects on waves; fading and effects on communication; diversity techniques; scatter propagation, reflection of radio waves. Propagation losses in communication links: path loss, multipath fading, diffraction losses, scattering losses, shadowing. Transmitters and Receivers: Types of transmitters and receivers used in radio communication and their characteristics.Broadcast and point to point communication: Radio broadcasting, Studio links, outside broadcasting, broadcasting system specifications and design. Trunked systems.
EEE 522: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Human and machine intelligence, developing an AI, expert system definition, natural language processing, tools for machine thinking, forward chairing, backward chairing, use of portability and fuzzy logic in expert systems, knowledge plan interim, examples of expert systems, programming techniques.
EEE 512: DIGITAL SIGNAL PROCESSING
Sampling theory, Z-transforms, system functions. Digital filter structures, signal flow graphs, elementary FIR/IIR filter design techniques, windows, bilinear and band transformations. Discrete Fourier transform, relation- ship between DFT and DTFT, simple and short-time spectral estimation, fast computation of DFT as decimation-in-time. Linear convolution, cyclic convolution, sectioned convolution (overlap-add and overlap-save), application to fast filtering algorithms, windowing. Overview of microprocessor architectures for DSP, implementational aspects of simple DSP algorithms.
EEE 510: SIMULATION & MODELING
Introduction to Performance Modelling, The Essentials of Probability. Simulation Modelling: Random number generation and Monte Carlo Methods, Discrete event simulation, Output analysis. Discrete Event Stochastic Models: Elementary Stochastic Point Processes, -Arrival Processes (Poisson Process). Markov Models: Synchronous Processes: Discrete-time Markov Chains Asynchronous Processes: Continuous-time Markov Chains. . Queuing Models/Synchronous and Asynchronous Queues:Little’s law, Single Server Queues, Multiple Server Queues, Priority Queues, Queues with Loss, M/G, G/M, G/G Queues, Networks of Queues, Network Modelling. Reliability Modeling. Application of simulation software such as SimScript, GPSS to implement a project.
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