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Description
  
Analog Communications Systems. (Undergraduate)
Orthogonal and signal representation, review of Fourier analysis, bandpass signals and systems, Hilbert transform, amplitude modulation and detection, frequency and phase modulation and demodulation, SNR in AM/FM reception, pre emphasis / de-emphasis, pulse code modulation.
Signals and Systems. (Undergraduate)
Continuous and discrete time signals and systems, continuous and discrete time convolution, continuous and discrete LTI systems, Fourier analysis for continuous-time signals, properties and applications of Fourier transform, Laplace transform and z-transform.
Numerical Methods for Engineers. (Undergraduate)
Machine epsilon; round-off error; linear systems of equations; Gauss elimination and iterative methods; largest eigenvalue using power methods; spline interpolation; numerical integration; ordinary differential equations; nonlinear equations; zeros of polynomials; one dimensional optimization; least squares data fitting; singular value decomposition; uniform random number generator.
Probability and Statistics for Engineers. (Undergraduate)
Axioms of probability theory. Events. Conditional probability. Bayes theorem. Random variables. Mathematical expectation. Discrete and continuous probability density functions. Transformation of variables. Probabilistic models, statistics, and elements of hypothesis testing (sampling distributions and interval estimation). Introduction to statistical quality control.
Computers Networks. (Graduate)
Analysis of loosely coupled computer communication, communication protocols and network services. Layered open systems interconnection model (OSI) with emphasis on transport, network and data-link layers. Constraints on intercomputer communication and network services. Networking trends and concepts, network architecture, high speed LANs. Network congestion control, traffic management, routing techniques. Multicast protocols. Quality of service over IP and RTP protocols.
Communications Systems Lab. (Undergraduate)
Description: AM modulation and demodulation, FM modulation and demodulation, sampling technique, PAM modulation ,PCM modulation, FSK and PSK.
Probability and Random Processes for Engineering. (Undergraduate)
Probability, random variables, probability distribution and density functions, multiple random variables, random processes, spectral properties of random processes and response of linear systems to random input. Introduction of the linear mean square estimation. Engineering applications (communications in noise, data compression, radar).
Digital Signal Processing Lab. (Undergraduate)
Implementation of DSP concepts using DSP card, these concepts include: discrete time convolution, convolution with DFT (linear, circular), inverse DFT, computation of DFT using FFT algorithms, inverse FFT, design of digital filters (infinite impulse response, finite impulse response).
Engineering Analysis Methods. (Undergraduate)
Vectors and scalars (net force analysis, acceleration, velocity, energy, volume and liquid flow, orthogonal coordinate systems), Fourier series, various types of differential equations encountered in physical systems (wave, heat and Laplace equations), separation of variables (rectangular and circular waveguides), solution by Fourier and Laplace transforms (electrical circuits), basic complex variables, Stokes’ and Green's theorems, surface and volume integrals, stability system analysis (divergence and conservative fields).
Special Topics in Telecommunication Engineering:  Wireless Sensor Networks. (Graduate)
This course is more research-oriented rather than a normal course. It is focusing on wireless sensor networks. The topics include data fusion, routing algorithms, clustering, energy-efficient protocols, localization, coverage and connectivity issues, synchronization and self-organization, deployment, and mobile target tracking.
Communication Systems. (Undergraduate)
Fourier transform, power spectral density, AM and FM modulation and demodulation, basebandmodulation and demodulation, sampling, quantization, PAM and PCM modulation, bandpass modulation: FSK, PSK, ASK.
Advanced Mathematics for Engineers (Graduate)
Sturm-Liouville engineering problems and orthogonal functions, Fourier series and Fourier transforms, complex functions, special functions (Legendre polynomials, Frobenious method, Bessel functions, Neuman, Henkels), partial differential equations: heat equation and wave equation in differential coordinate systems, modeling membrane, use of Fourier-Bessel series. Wavelet transform.
Information Theory and Coding (Graduate)
Definition of information and entropy, source coding: uniquely decodable codes, mutual information. Chanel capacity, channel coding, block codes, convolution codes and block interleaving.