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Random Processes, CME 610
Random signals, random variables and noise in communication systems, random processes,  stationary and ergodic random processes, spectral analysis, Gaussian processes, Brownian processes,  Markov and Poisson processes and queuing theory. Applications are drawn from mobile  communications and signal processing.
Communication Systems, CME 456
The course introduces the students to the fundamentals and basics of analog and digital communications systems. The  course covers the following topics: Review of signals and Fourier analysis, amplitude modulation (AM) and detection, frequency modulation (FM), phase  modulation (PM), demodulation of FM and PM signals, noise in AM, FM and PM systems, pulse amplitude modulation, pulse code modulation, and time  division multiplexing.
Analog Communocations, CME 450
This course is mandatory for major students. It introduces the students to the fundamentals and basics of analog communication systems. The course covers the following topics, review of signals and Fourier analysis, power spectral density and energy spectral density, auto and cross correlation functions, amplitude modulation (AM) and detection, frequency modulation (FM), phase modulation (PM), demodulation of FM and PM signals, Noise in AM, FM and PM systems.
Introduction to Engineering,  BME 152
This course presents a responsible attitude toward society and the organizations that engineers work for. Information on the different engineering tools will be  introduced. An introduction to problem solving and the engineering design process with the utilization of various computer applications are covered. The course  then covers deeper issues such as professional engineering codes and standards, ethics, design constraints, career advising, risk awareness and risk management. Various forms of technical communication are emphasized. At the end of the course, the students will be asked to solve a real-life problem by applying the skills  they have learned in this course.
Statistics and Probability for Engineering Students, CE210
Introduce basics of probability and probability distribution.  Introduce basic statistical methodology of data analysis including, graphs, descriptive statistics, estimation, confidence level, sample size determination, hypothesis testing, correlation and simple regression, tests of association.
Fiber Optic Communications,  CME460
The course provides introduction to optics, ray optics, step and graded index fibers, multimode and single mode fibers, fabrication of fibers, transmission characteristics of fibers (attenuation, dispersion, polarization), light sources: LED and lasers, intensity modulation coherent and non-coherent detection, heterodyne and homodyne receivers,  transmission via optical fibers with budget calculation, optical measurements.
Analog Communications Laboratory, CME 451
This laboratory is mandatory for major students. It allows students to work on hands-on experiments in the fundamental and basic subjects of analog communication systems. The lab covers experiments in the following topics: Amplitude modulation (AM) and amplitude modulators/demodulators, automatic gain control (AGC) and superheterodyne receivers, frequency modulation (FM) and demodulation.
Probability, Statistics and Random Processes in  Engineering, CME 314
This course equips students with the fundamentals of probability theory. It addresses the following topics: Probability definition and laws. Random variables, probability density function, probability distribution function, probability mass function. Multiple random variables. Random processes, spectral properties of  random processes and response of linear systems to random input, confidence intervals, hypothesis testing, and linear regression.