Graduate Courses

Introduction to Micro Electro Mechanical Systems (MEMS) and to the fundamentals of micromachining and microfabrication techniques, thin-film processes, photolithography, deposition and etching techniques for MEMS fabrication. Multi-domain analysis of sensing and transduction mechanisms, capacitive and piezoresistive techniques, and design and analysis of micromachined sensors and actuators. Review of pressure sensors, accelerometers, gyroscopes and resonators and their applications.

Electronic characteristics of logic gates. Fabrication processes for MOS technology. Layout design rules and examples. Electronic characteristics based on geometry. Design verification, Schematic capture, analog/digital simulation. CMOS digital circuits: pads, super buffers, CMOS switch logic. Student term project.

Introduction to computer networks and communication; Formatting and transmission of digital information over various media; Open Systems Interconnection Reference Model; Functions and specification of data link layer; Data link layer protocols; Networking and internetworking principles; Internet routing, congestion control and operation. Local area networks: Topologies, medium access under contention, queuing principles, performance evaluation.

Characterization of wireless communication channels and modulation methods under the constraints of both noise and finite bandwidth. Design and analysis of wireless communication systems under fading conditions. Wireless channel capacity. Diversity systems. Interference channels and equalization. Multichannel and multicarrier systems. Spread spectrum techniques and multiuser communications.

Routing protocols in mobile ad hoc networks mobile Internet Protocol (IP) principles. Operation of IP Dynamic Host Configuration Protocol (DHCP). Networks Address Translation (NAT). Principles of security engineering:  cryptography, vulnerability, confidentiality, integrity, modification, Public Key Encryption (PKE). The security of Institute of Electrical and Electronics Engineers (IEEE) 802.11 (WEP).

Principles of Neural Computing. Architectural analysis of different neural network models (Hopfield model, Single Perceptron, Multilayer Perceptron etc.). Learning algorithms. Back propagation algorithm and local minima problem. Dynamics of recurrent neural networks. Applications of neural networks for control systems, system identification, associative memories, optimization problem etc. Computer simulation homeworks and final project.

Introduction to digital control of analogue systems. Sampling, quantizing and coding. The z-transformation and its properties, the inverse z-transformation. Discretization techniques, discrete-time equivalence of continuous-time systems and filters. Transient and steady-state analysis of discrete-time systems, stability analysis. Design of digital controllers based on root locus methods and frequency response methods. State-space analysis of discrete-time system and controller design by pole-placement. Introduction to discrete-time optimal control design.

Microwave propagation. Microwave communication systems. Transmission lines and waveguides. Waveguide and microstrip resonators and filters. Microwave hybrid circuits. Directional couplers. Power combiners and dividers. Microwaves Semiconductors devices (Diodes and transistors). Microwave tubes (Klystrons, magnetrons, traveling wave tubes).

Bayesian theory and Bayesian estimation. Deterministic, probabilistic and sequential inference techniques. Batch and sequential Bayesian estimation. Sampling methods and simulation-based Bayesian methods. State-space models for Bayesian processing. Classical approach to Bayesian estimation, linear optimal filters: Kalman filters and extended Kalman filters. Unscented transformation, unscented Kalman filter and Gaussian sum filter-based Bayesian estimation. Particle filters, importance sampling, selection of importance function, resampling. Particle filter-based Bayesian estimation. Bayesian joint state/parameter estimation. Cramer-Rao bounds for particle filters.

Overview of learning and statistical decision theory. Model inference and parameter estimation. Linear models for regression and classification. Kernel methods. Nonparametric methods. Model assessment and selection. Ensemble methods. Unsupervised learning.

Authentication applications and authentication functions. Application-level authentication and digital signatures. Kerberos, X.509 directory authentication service. Electronic mail security issues. Pretty Good Privacy (PGP), S/MIME schemes. IP security (IPSEC). IP security overview, IP security architecture, authentication and key management. General requirements for web security. Standardized schemes SSL/TLS and SET. System security principles. Intruders, worms, viruses and other threats. Intrusion prevention mechanisms. IDS (Intrusion detection systems). Firewalls, NFAT (Network Forensics Analysis Tools) New trends and applications in network security.

Characteristics of random processes. Correlation function and power spectral density of stationary processes. Noise mechanisms, the Gaussian and Poisson processes. Statistical estimation theory, linear mean square filtering, optimum Wiener and Kalman filtering. Signal detection theory and statistical significance tests.

The widening of students' perspectives and awareness of topics of interest to electrical and electronic engineers through seminars offered by faculty, guest speakers and graduate students.

Review of random vectors and independence, gradients and optimization mehtods, estimation theory,information theory, principle component analysis and whitening. Basic independent component analysis (ICA), different interpretations of independent component analysis. ICA by maximization of nongaussianity, ICAby minimizaiton of Mutual Information, ICA by Nonlienar Deccorelation and Nonlinear Principle Component Analysis, Basic ICA Methods, Noisy ICA,Nonlinear ICA,Methods uisng Time Structure, Convolutive Mixtures and Blind Deconvolution, Applications of ICA.

Introduction to video formation and visual perception. Fourier analysis of video signals. Video sampling and sampling rate conversion. Video modeling (Camera, illumination, object, Scene). Motion estimation. Video coding (Waveform based, content based) and overview of video compression standards. Video distribution over IP.

In depth study of a selected topic in the area of Communication, Control or Electronics.

Loop and node equations in s-domain, state equations, Tellegen's theorem, positive definite quadratic forms. Synthesis of emittance functions and of transfer functions: 'z', 'y' parameters, zeroes of transmission. Active network synthesis, some classical network configurations, signal flow graph techniques. Filter characteristics and approximation techniques. Sensitivity and tolerance considerations.

Pulse transformers, transmission lines. Broadband amplifier analysis and design. Sweep generation. Synchronization. Negative resistance devices. Parametric amplifiers. Sampling gates.

Analog circuit simulation, digital circuit simulation and switch level simulation techniques. Physical design of VLSI circuits. Floorplanning, placement, channel routing, global routing, and performance driven routing. Silicon assembly. Silicon compilation for digital VLSI, silicon compilation for analog VLSI.

Photo conductivity, photo-emission, light amplification, metal semiconductor diodes, field effect devices, special effects in semiconductors, properties of dielectric materials and magnetic materials.

Dynamic circuits: clocked static logic, charge leakage, storage and sharing. Dynamic logic: Domino, MODL, LDL, NORA and Zipper CMOS logic. Electronic design automation (EDA). Chip design options: Programmable logic, programmable gate arrays, sea-of-gates and standard cell design. CMOS subsystem design. Testing and design for testability. Student term project.

Design of dedicated purpose microprocessor systems used in electronic instrumentation, control and communications. Design of medium to large size microprocessor systems. Multi-processor system design.

Introduction to algebra and Galois fields. Various error control coding techniques including linear block codes, cyclic codes, BCH and Reed-Solomon codes, convolution codes. Viterbi algorithm. Trellis coded modulation.

Overview of basic approaches and alternatives to adaptive control; review of deterministic and stochastic signal and system models; real time parameter estimation using recursive least squares and its derivatives, persistent excitation, covariance management estimation under feedback; model reference adaptive systems, MIT rule, hyperstability approach; self-tuning regulators. Direct and indirect methods, minimum variance, linear quadratic and generalized predictive control strategies, convergence analysis using ODE method.

Modeling and analysis of discrete time and continuous time uncertain linear dynamic systems. Estimation problems: Bayesian, Fisher and Weighted Least Square estimation. Optimal prediction, filtering and smoothing. Kalman filtering. Wiener-Hopf theory. Stochastic optimal control.

Industrial automation. Manipulator and sensor technology. Review of kinematics and Lagrangian dynamics. Joint-space/work-space transformations and data structures. Point to point continuous path control. Robot control: command languages, navigation and mapping, optical and acoustic ranging and pattern recognition, collision avoidance algorithms, positioning accuracy, resolution and repeatability. Distribution of intelligence. Adaptive hierarchical control.

Hertz potential. Plane waves in different media. Spectral representation of elementary sources. Field of a dipole in a stratified medium. Ground wave and ionospheric propagation. Scattering and absorption of a wave by a single particle.

Study of the mathematical theory of various realizations of linear filters. Detailed study of linear optimum filtering, namely Wiener filtering, linear prediction, and Kalman filtering. FIR structures versus lattice filter structures. Method of least squares, comparative study of steepest descent, least-mean square (LMS) and recursive least squares (RLS) filter design algorithms.

Microwave propagation. CW, FM, MTI Doppler and tracking radar. Radar transmitters and receivers and antennas. Underwater sound propagation. Sonar transmitter and receivers. Transducers. Array processing. Detection and processing of radar and sonar signals.

Basic operation and applications of radar. Antenna system in microwave remote sensing. Radiometry. Microwave interaction with atmospheric constituents. Radiometer systems. Active microwave sensing of land.

Study of the latest and current developments in the field of Electrical Engineering.

Presentation and study of current research topics in computers, systems, communications, control, solid state.

Research in the field of Electrical and Electronics Engineering, by arrangement with members of the faculty; guidance of doctoral students towards the preparation and presentation of a research proposal.