Human body: Cells and physiological systems. Bioelectricity: Genesis and characteristics. Measurement of bio-signals: Ethical issues, transducers, amplifiers and filters. Electrocardiogram: Electrocardiography, phono-cardiograph, vector cardiograph, analysis and interpretation of cardiac signals, cardiac pacemakers and defibrillator. Blood pressure: Systolic, diastolic mean pressure, electronic manometer, detector circuits and practical problems in pressure monitoring. Blood flow measurement: Plethymography and electromagnetic flow
meter. Measurement and interpretation: Electroencephalogram, cerebral angiograph and cronical X-ray. Brain scans. Electromayogram (EMG). Tomography: Positron emission tomography and computer tomography. Magnetic resonance imaging. Ultrasonography. Patient monitoring system and medical telemetry. Effect of electromagnetic fields on human body.
Course Catalogue
Power semiconductor and switches and triggering devices: BJT, MOSFET, SCR, IGBT, GTO, TRISE, UJT and DIAC. Rectifiers: Uncontrolled and controlled single phase and three phase. Regulated power supplies: Linear- series and shunt, switching buck, buck-boost, boost and Cuk regulators. AC voltage controllers: single and three phase. Choppers. DC motor control. Single phase cyclo-converter. Inverters: Single and three-phase voltage and current sources. AC motor control. Stepper motor control. Resonance inverters. Pulse-width modulation control of static converters.
This course consists of two parts. In the first part, students will perform experiments to verify practically the theories and concepts learned in EEE 433. In the second part, students will design simple systems using the principles learned in EEE 433.
Lattice vibration: Simple harmonic model, dispersion relation, acoustic and optical phonons, Band structure: Isotropic and anisotropic crystals, band diagrams and effective masses of different semiconductors and alloys. Scattering theory: Review of classical theory, Fermi-Golden rule, scattering rates of different processes, scattering mechanisms in different semiconductors, mobility. Different carrier transport models: Drift-diffusion theory, ambipolar transport, hydrodynamic model, Boltzman transport equations, quantum mechanical model, simple applications.
Probability and random variables. Distribution and density functions and conditional probability. Expectation: moments and characteristics functions. Transformation of a random variable. Vector random variables. Joint distribution and density. Independence. Sums of random variables. Random processes. Correlation functions. Process measurements. Gaussian and Poisson random processes. Noise models. Stationary and Ergodicity. Spectral Estimation. Correlation and power spectrum. Cross spectral densities. Response of linear systems to random inputs. Introduction to discrete time processes, Mean-square error estimation, Detection and linear filtering.
Entropy and Mutual Information: Entropy, joint entropy and conditional entropy, Relative entropy and mutual information, chain rules for entropy, relative entropy and mutual information, Jensen’s inequality and log-sum inequality. Differential Entropy: Differential entropy and discrete entropy, joint and conditional differential entropy, properties of differential entropy, relative entropy and mutual information. Entropy Rates of Stochastic Process: Markov Chain, Entropy rate and hidden Markov models. Source Coding: Kraft inequality, optimal codes, Huffman code and its optimality, Shannon-Fano-Elias coding, arithmetic coding. Channel Capacity: Binary symmetric channels and properties of channel capacity, channel coding theorems, joint source and channel coding theorem. Block coding and decoding, BCH, RS codes, Convolutional coding, Viterbi Decoder, Turbo codes, decoding techniques: STBC, SFBC, STFBC. Gaussian Channel: Introduction to Gaussian Channel, Band limited channel, Parallel Gaussian Channel, Gaussian Channel with feedback.
Introduction to the general characteristics of wave propagation. Physical interpretation of Maxwell’s equations. Propagation of plane electromagnetic waves and energy. Reflection, diffraction, polarization, poynting vector. Transmission lines. Metallic and dielectrically guided waves including microwave waveguides. Antenna fundamentals. Microwaves generators. Microwave tubes: Klystron amplifiers, reflex Klystron oscillators, magnetrons, backward–wave oscillators. Microwave solid-state devices, varactor diodes, Gunn diodes, IMPATT diodes, P-I-n diodes, and their applications. Microwave components: Waveguides, directional coupler, isolators, waveguide couplers, circulators, slotted waveguide.
This course consists of two parts. In the first part, students will perform experiments to verify practically the theories and concepts learned in EEE 445. In the second part, students will design simple systems using the principles learned in EEE 445.
Introduction: Communication channels, mathematical model and characteristics. Review of probability and stochastic processes. Source coding: Mathematical models of information, entropy, Huffman and linear predictive coding. Digital transmission system: Baseband digital transmission, inter-symbol interference, bandwidth, power efficiency, modulation and coding trade-off. Receiver for AWGN channels: Correlation demodulator, matched filter demodulator and maximum likelihood receiver. Channel capacity and coding: Channel models and capacities and random selection of codes, convolution codes and coded modulation. Spread spectrum signals and systems.
This course consists of two parts. In the first part, students will perform experiments to verify practically the theories and concepts learned in EEE 447. In the second part, students will design simple systems using the principles learned in EEE 447.