Courses

The main objectives of this course are to introduce students to the advance concepts of probability theory and random processes that are required to understand probability and stochastic models used in electrical and computer engineering, and to...
Hypothesis testing, Bayesian and Non-Bayesian Detection, Estimation theory, Maximum likelihood and Bayesian Estimation, Estimation of signal parameters and continuous waveforms, CRLB Bounds,  Least Square Estimation,  MVU Estimator, Application to...
Introduction to modeling and simulation techniques; Continuous-time and discrete-time systems; Simulation of differential equations; Dynamic system modeling; Optimization Techniques; Dynamic errors; Simulation acceleration and real-time simulation;...
AM and FM modulation and detection; PCM and delta modulation; Bit error rate measurements; TDM; ASK; FSK; Optical fiber parameter measurements; RF impedance measurements and matching; Basic propagation and antenna measurements.
Motivation and applications; Signal classifications; Signal operations; Singularity functions; CT/DT Linear time-invariant systems and convolution; CT/DT Correlation; Fourier series and transform for continuous and discrete time signals; Frequency...