Number systems, codes and coding, minimization techniques applied to design of logic systems. Component specifications. Discussion of microprocessors, memory and I/O logic elements. Microcomputer structure and operation. I/O modes and interfacing. Machine language and Assembler programming. Design and application of digital systems for data collection and control of pneumatic hydraulic and machine systems. Laboratory work includes the use of microcomputers.
This one-semester lecture/lab course covers general electric circuit parameters and laws. Topics include: basic electric circuits, voltage and current sources, resistance, analysis of DC circuits, power considerations. Concepts of capacitance, inductance, and their transient behaviour. Introduction of AC sources, phasors, reactance and impedance, AC analysis of RC, RL, and RCL circuits, the effect of resonance, real and complex power in reactive loads.
Review of circuit theory; input-output relationships, transfer functions and frequency response of linear systems; operational amplifiers, operational amplifier circuits using negative and positive feedback; diodes, operational amplifier circuits using diodes; analog signal detection, conditioning and conversion systems; transducers and sensors, difference and instrumentation amplifiers, active filters.
The single-phase transformer and its applications. DC and AC motor characteristics, and their application in mechanical drives. Power electronic circuits, H bridges, PWM control, interfacing, power amplifiers. DC servo and stepper motors, AC synchronous and induction motors. Transformers. Introduction to typical speed and torque control techniques of motors.
This is a one-term lecture/lab course in fundamentals of electricity and electronics for Industrial Engineering students. Passive electrical components and electrical power sources. Characteristics of electric circuits. Circuit analysis and theorems. Steady-state, transient in RC and RL circuits. Alternating currents and voltages, power consideration. Phase shift and impedance. Behaviour of RCL circuits, conditions for resonance and power dissipation in RCL circuits. (2 hr. Lab every other week)
This course is a one semester introductory course in electric circuit analysis. The topics covered include the following: circuit variables and elements, resistive circuits, methods of circuit analysis, circuit theorems, energy storage elements, transient responses of RL and RC circuits, sinusoidal steady state analysis, and AC steady state power concepts. (1 hr. Tutorial and 3 hr. Lab every other week)
This course builds on the introductory course ELE202 in electric circuit analysis. The course topics include a brief overview of circuit variables, elements, laws and theorems; mutual inductance and the ideal transformer model; 3-phase circuits; the operational amplifier as an active circuit element. Also, simple opamp circuits, the Laplace transform with applications to differential equations and electric circuits, frequency responses, Bode plots, resonant circuits, Fourier series; two port networks, and network parameters for interconnection of two-port networks; use of PSpice simulation software to solve circuit problems.
Review of vector analysis and coordinate systems. Coulomb's law and electric field intensity. Gauss's law and electric flux density. The electric potential and potential gradient. Electric fields in material space. Poisson's and Laplace's equations. Capacitance. Biot-Savart's Law and magnetic field intensity. Ampere's circuital law and the magnetic flux density. Magnetic forces. Self and mutual inductances. Time-varying fields and Maxwell's equations.
Introduction to electronics, diodes, linear and non-linear circuit applications. Bipolar junction and field-effect transistors: physical structures and modes of operation. DC analysis of transistor circuits. The CMOS inverter. The transistor as an amplifier and as a switch. Transistor amplifiers: small signal models, biasing of discrete circuits, and single-stage amplifier circuits. Biasing of BJT integrated circuits. Multi-stage and differential amplifiers. Current sources and current mirrors. Important concepts are illustrated with structured lab experiments and through the use of Electronic workbench circuit simulations.
An advanced course on the analysis and design of linear and non-linear electronic circuits applications, involving operational amplifiers (Op-Amps). The topics to be studied include non-ideal amplifier characteristics, amplifier design, amplifier applications, filters and tuned amplifiers, oscillators, power amplifiers and output stages, and signal generators. Circuit applications to such areas as instrumentation, signal processing and conditioning, communication, and control are considered. Important concepts are reinforced through a series of design projects.
Time-varying fields and Maxwell's equations, boundary conditions, retarded potentials. The wave equation. The uniform plane wave, wave polarization, wave reflection. Transmission lines, Smith chart. Rectangular waveguides. Radiation from short dipoles, half- and quarter-wavelength antennas, the radiation resistance. Basic microwave measurements.
This course deals with the analysis of continuous-time and discrete-time signals and systems. Topics include: representations of linear time-invariant systems, representations of signals, Laplace transform, transfer function, impulse response, step response, the convolution integral and its interpretation, Fourier analysis for continuous-time signals and systems and an introduction to sampling.
The course will cover the theory and principles of sensors and transducers (electrical, chemical and mechanical). The topics covered include transduction techniques, linear/non-linear signal processing, low noise amplifiers, instrumentation amplifiers, data converters. There will be small design projects for the labs to reinforce sensor/transducer interfacing.
The topics covered in the course includes a general discussion on discrete signals (periodic signals, unit step, impulse, complex exponential), a general discussion on discrete systems, Discrete-Time Fourier Series (DTFS), Discrete-Time Fourier Transform (DTFT); analysis and synthesis, Fourier Spectra; continuous nature, periodicity, existence, Properties of the DTFT; linearity, conjugation, time/frequency reversal, time/frequency shifting, etc. LTI discrete time system analysis using DTFT, DTFT and Continuous-Time FT comparison and relation, DFT and FFT discussion and their relation to DTFT and CTFT, Discrete-Time Sampling, Z-Transform; generalization of the DTFT.
This course studies basic principles of communication theory as applied to the transmission of information. The course topics include: baseband signal transmission, amplitude, phase and frequency modulation, modulated waveform generation and detection techniques, effects of noise in analog communication systems, frequency division multiplexing. Digital Signals: sampling, aliasing, quantization and introduction to pulse code modulation. (3 hr. Lab every other week)
Basic principles of operation of different types of machines and their control; magnetic circuit analysis, single-phase, and three-phase transformers, principles of electromechanical energy conversion, DC machines, three-phase induction motors, synchronous machines, introduction to solid-state motor controls and devices, transients and dynamics of machines, introduction to programmable logic controller (PLC), control of electric motors by PLC.
Introductory course in control theory: system modeling, simulation, analysis and controller design. Description of linear, time-invariant, continuous time systems, differential equations, transfer function representation, block diagrams and signal flows. System dynamic properties in time and frequency domains, performance specifications. Basic properties of feedback. Stability analysis: Routh-Hurwitz criterion, Root Locus method, Bode gain and phase margins, Nyquist criterion. Classical controller design in time and frequency domain: lead, lag, lead-lag compensation, rate feedback, PID controller. Laboratory work consists of experiments with a DSP-based, computer-controlled servomotor positioning system, and MATLAB and Simulink assignments, reinforcing analytical concepts and design procedures. (3 hr. Lab every other week)
This one term course has two objectives. (1) The lectures provide students with advice on design, project management, reliability, practical advice on software, circuits and components and the documentation of their work. The lectures are organized as a seminar series presented by the faculty lab coordinators and practising engineering professionals. The seminar series' goal is to provide students with knowledge that will assist them with project design and implementation. (2) The laboratory component of the course provides students with an opportunity to select a project to be completed in the Winter semester course ELE 800 Design Project. Students search information, design and source components in consultation with the faculty lab coordinators who will supervise their projects in the Winter term. Project topics are provided from which students select a topic. Students are also encouraged to submit their own topics for approval.
This course deals with computational methods for solving problems commonly encountered in Electrical and Computer Engineering applications. Topics include: Closed-form versus numerical solutions, Number Representations, and Error analysis; Solution of nonlinear single variable Equations using Fixed-Point Technique, Bracketing Method, Newton-Raphson Technique, and Secant Method; Solution of Linear Systems AX = B using Forward and Backward Substitution, Upper-Triangular Linear Systems, Gaussian Elimination and Pivoting, LU Decomposition (Triangular Factorization), Gauss-Jacobi and Gauss-Seidel Iterative Techniques; Interpolation and Polynomial Approximation using Taylor series, Lagrange technique, Newton polynomials, Divided difference, and Pade Approximations; Curve Fitting using Least-Square lines, The power fit, Polynomial fitting, Spline and Fourier Series fitting; Numerical Differentiation using The central difference, and Forward and Backward equations; Numerical Integration using Trapezoidal Technique, Simpson Rules, Romberg Integration Techniques, and Gauss Integration; Solution of Differential Equations using Euler Methods, Runge-Kutta Formula, Heun's technique, Taylor Series Approach, Predictor-Corrector Methods, and Systems of Differential Equations.
Tut: 2 hrs./Lect: 3 hrs.
Prerequisites: ELE 639 and MTH 514, Antirequisite: ELE 323
This course deals with the analysis and design of CMOS analog integrated circuits. The course consists of three essential components: theory, laboratory and project. The theoretical component consists of: characterization of analog integrated circuits in frequency and time domains; layout techniques for analog MOS devices; building blocks of CMOS analog integrated circuits and their characteristics, particularly noise and high-frequency characteristics; voltage and current reference circuits; voltage operational amplifiers; current operational amplifiers; switched-capacitor circuits and their applications in telecommunications; voltage and current comparators; ring oscillators and voltage-controlled oscillators; advanced topics on design of low-voltage high-speed CMOS integrated circuits including impedance matching, bandwidth boosting techniques, low-voltage design techniques and voltage-mode versus current-mode designs. The laboratory component consists of design and simulation CMOS voltage and current amplifiers. The third essential component of the course is the project. Students are required to complete a given or self-initiated design projection CMOS analog or mixed analog-digital integrated circuits with a professionally prepared project report.
This course deals with practical techniques for the specification, design and implementation of real-time computer control systems. Topics include: overview of computer control strategies; introduction to real-time systems; hardware and software requirements; implementation of digital control algorithms; design of real-time computer control systems; design analysis; considerations for fault detection and fault tolerance.
The course will cover the basic theories and principles on multimedia, including topics on: source coders, linear predictive coding, transform-domain coders, multimedia communication standards such as JPEG and MPEG series, watermarking, and multimedia communication across networks.
This course deals with the design of Digital CMOS integrated circuits. The course consists of three essential components: Theory, Laboratory, and project. Variety of design techniques, such as Static CMOS, Dynamic CMOS, and Transmission Gate are discussed in theory. These designs are studied on basic logic gates as well as combinational and sequential circuits. The lessons learned are applied to arithmetic building blocks such as adders and decoders. A MOS transistor is studied using I-V equations, and the different areas of operations are modeled. The static (DC) are dynamic (transient) behaviors for an important building block, a CMOS inverter, are studied in depth.
This course focuses on the design and analysis of isolation techniques, signal conditioning and processing units, linear/non-linear signal conversion circuits, and special purpose Integrated Circuits (IC) for effective electronic instrumentation designs. Key topics include: Analog/digital isolation techniques; intrinsic IC noise modeling and low noise OP-AMP amplifiers; instrumentation amplifiers and Single Supply circuits; grounding and noise-reduction techniques; linear Power Supply design, linear and switching voltage regulators, and voltage references; IC voltage-to-frequency (V/F), frequency-to-voltage (F/V) techniques and timer circuits; multipliers; log/anti-log amplifiers; and various other non-linear circuits. Important design concepts and issues are experienced through major embedded-microcontroller based Instrumentation design project, use of electronic circuit simulation tools, and solving design problems.
This course provides a comprehensive introduction to basic principles and techniques of digital communication. Lecture topics include: Analog to digital conversion, PCM, baseband transmission, power spectrum density analysis, intersymbol interference, matched filters, noise analysis, digital modulation, coherent and non-coherent detections. Laboratory work is based on simulations in Matlab.
Overview of the power system; Power Generator and Transformer modeling and operation; Per Unit system of calculations; Transmission line parameters, resistance, inductance and capacitance; Steady State operation of transmission line, short, medium and long lines; Load Flow study, Gauss-Seidel and Newton-Raphson iterative methods; Symmetrical fault analysis and sizing Circuit Breakers.
A course on solid state power converters. Major topics include: switching devices (SCR, MOSFET, IGBT, GTO, etc.), dc-dc switch mode converters, diode and thyristor rectifiers, current and voltage source inverters, ac-ac converters and industry applications. Typical control, gating and protection schemes for these converters will also be discussed. Important concepts are illustrated through laboratory projects. Real-time DSP based experimental platform will be used in the projects.
This course will cover the different biomedical signals and the related signal modeling and analysis techniques. The topics covered in the course include an introduction to various physiological/biomedical signals such as the action potential, the electro-neurogram (ENG), the electromyogram (EMG), the electrocardiogram (ECG), the electroencephalogram (EEG), event-related potentials (ERPs), the electrogastrogram (EGG), the phonocardiogram (PCG), the carotid pulse (CP), signals from catheter-tip sensors, speech and oto-acoustic emission signals. The biomedical signal analysis portion of the course will deal with the analysis of concurrent, coupled and correlated processes, filtering for removal of artifact from biomedical signals, event detection techniques, analysis of wave-shape and waveform complexity associated with biomedical signals, mathematical modeling of biomedical systems, and medical decision support systems.
The topics covered in this course include fast algorithms for the computation of DFT, fast Fourier transform (FFT), finite length discrete transforms, Discrete Cosine transform (DCT), estimation of spectra from finite-duration observations of signals, implementation of discrete-time systems, floating-point and fixed-point representations, multi-rate signal processing, adaptive filters and applications.
This course provides the student with a significant experience in self-directed learning. Project topics are provided from which the students select a topic. The topic selection information search, designs and component sourcing are completed as part of the Fall term course ELE 700 Engineering Design. The student individually or in a group, where the topic is a group project, will research the topic, design, implement and make operational a design of currency in the fields of Electrical and Computer Engineering. Professional guidance is provided by faculty on a weekly basis in the laboratory. The completed project must be demonstrated operational by the last week of the term. A final bound project report that conforms to professional guidelines is required. The students must demonstrate their working project at an Open House in May.
This advanced electronics course is focused on the analysis and design of electronic signal conditioning and processing circuits, with emphasis on Transducers, Sensors, Detectors and Special Function Integrated Circuits (IC) devices. Major topics include:- Transducers and Sensors technologies:- Linear Motion, Force, Vibration, Solid-State Sensors, Ultrasound and Photo detectors; Signal Conditioning and Detection Circuits; Low Power and Low Noise Amplifiers; Special purpose Voltage-to-Frequency and Frequency-to-Voltage circuits; Multipliers; Phase Lock Loops; Modulation and Demodulation techniques; and various Special Function ICs. Circuit applications to such areas as instrumentation, signal conditioning and processing, communication and control are considered. Important design concepts are illustrated with a major design project and through use of Electronic Workbench Circuit simulation tool.
The topics include introduction to alternative energy systems, wind energy system fundamentals, wind turbines, wind generators, power converters, doubly fed induction generator based wind systems, synchronous generator based wind systems, control schemes, grid connection and protection, solar energy systems, photovoltaic arrays, and maximum power point tracking. Other alternative energy systems such as fuel cell power generation will also be introduced.
This course deals with the theory on the design of digital control systems and their implementation. Major topics include: State-space system model. Discrete-time signals and systems; z-transform. Sampling: the ideal sampler, data reconstruction, quantization effects. Discrete equivalents to continuous-time transfer functions. Stability analysis: Jury's stability test; root locus; Nyquist stability criterion. Design of digital control systems: transform techniques; stat-space techniques. Hardware and software aspects in implementation. Laboratory work will include experiments on PID controller, and sate feedback controller design of an electro-mechanical system.
Testing and Design are integrated in today's technology to reduce the cost of manufacturing by reducing the number of defected products. This course is about testing VLSI circuits at the gate and transistor level designs. Principles of testing are discussed and test generation algorithms are explained. At the hardware level, Built-In-Self test techniques are explained for gate-level designs, and different testing techniques are discussed for transistor-level circuits. The main goal of this course is to design better testable VLSI circuits.
This course provides a comprehensive introduction to basic principles and techniques in cellular mobile communications. The topics include: communication overview and frequency reuse, the cellular concept, radio propagation environments, techniques of modulation and equalization, multiple access wireless systems: TDMA/FDMA systems, CDMA systems, etc.
Introduction to modern methods of linear system identification. Different types of models. Review of classic time- and frequency-based approach to empirical, 'black-box' system modeling. Non-parametric identification: impulse and step weights, spectral analysis. Parametric, discrete transfer function models from I/O data using Least Squares. Data-collection procedures, model structure selection, use of auto- and cross-correlation functions for diagnostics and model validation, overview of different estimation algorithms. Lab work consists of Matlab tutorials and an assignment dealing with identification of an unknown process. Course evaluation includes a group project selected from a list of topics in control system application, and its class presentation.
Overview of power system operation and control; Generator Voltage Control; Turbine-Governor Control, Load-Frequency Control, Economic Dispatch and Optimal Power Flow; Transient Operation of Transmission lines, power system over-voltages and Insulation coordination; Transient stability study, swing equation, equal-area criteria and methods of improving transient stability; ETAP to study transient stability.
A course on modelling and simulation of electromechanical systems. The main topics include: reference frame theory, dynamic models of dc and ac machines, electronic converters and computer simulation. Matlab (Simulink) will be used to study dynamic performance of the machines and converters. The modelling and simulation techniques developed in this course provide a useful tool for the analysis and design of industrial electronic circuits and dc/ac motor drives.
Maxwell's equations in the time domain and in the frequency domain. Constitutive relations. Polarization damping. Energy density and boundary conditions. Helmholtz equation. Potential functions. Transverse electromagnetic waves, reflections at interfaces, wave matrices. Waveguides and Cavities. Antennas and Radiating Systems. Advanced microwave measurements.
An advanced course on design of low-power high-speed CMOS integrated circuits using deep submicron CMOS technology. The course consists of two essential components; theory and project. The theoretical component consists of: advanced topics on modeling of MOS transistors, modeling of interconnects (lumped, distributed RC, distributed RLC, and transmission line models), layout techniques for high-speed digital and missed analog-digital circuit, impedance matching networks, clock generation and distribution, power distribution on chip, grounding of mixed analog-digital circuits, input/output circuits and pad design, packaging and ESD protection, switching noise, high-level power estimation, reliability and design for manufacturability, testing and design for testability. The project component consists of design, layout, and simulation of CMOS circuits using state-of-the-art CMOS technology and CAD tools.
A course on the analysis and design of electric motor drives. Major topics include: rectifier drives, chopper drives, voltage controller drives, slip energy recovery drives, voltage source inverter drives, current source inverter drives, cycloconverter drives. The course focus is on the analysis of the steady state operation of drive systems that allows the specification of suitable converters and machines for the speed and position control system encountered. Transient operation is discussed but not studied in detail. Important concepts are illustrated with laboratory experiments.
This course provides a comprehensive treatment on the fundamentals of robotics, particularly in kinematics and dynamics. Topics include: Forward kinematics: homogeneous transformations, the Denavit-Hartenberg representation of linkages. Inverse kinematics: closed-form and numerical solutions. Differential motion, Jacobian matrix, singularities. Dynamics: Euler-Lagrange formulation. Trajectory generation. Motion and interaction control of robotic manipulators. Actuators and sensors.
This course deals with the application and design of medical instrumentation systems for which the source of the signals is living tissue or energy applied to living tissues. The major emphasis will be on, transduction principles, sensors, detectors, electronic signal conditioning and processing techniques, and electrical safety standards for medical instrumentation. Some of the major topics include: sensors and transducers - e.g. displacement, resistive, inductive, capacitive, piezoelectric, temperature, radiation thermometry, optical radiation, Doppler ultrasound, electrodes, etc.; special-purpose amplification and signal processing techniques; ECG-EMG-EEG biopotential electrodes and amplifiers; non-invasive blood pressure, flow-rate and volume sensing and measurement techniques; respiratory plethysmography; electrochemical biosensors and laboratory instruments; medical imaging systems; and designs for electrical safety. Important instrumentation design concepts are illustrated with a major design project and through use of circuit simulation tools.
The course will cover basic theory and principles of digital image processing. The topics covered include: 2-D Sampling and Quantization of Images, Image Capture and Display, Digital Image Storage and formats, Grey-level image processing (histogram equalization, contrast stretching, etc.), 2-D Discrete Fourier transform, 2-D image filtering operations (lowpass, highpass, edge detection, etc.), color and trichromacy, planar color image processing (simple extension of gray scale), an in-depth look at Image Processing Software (GIMP, Photoshop), and selected areas of application (remote sensing, biomedical, compression)
This course offers a comprehensive overview of the properties and behavior of light. It begins with the light transmission including ray optics and wave optics; followed by the generation of light by lasers and light-emitting diodes. Examples on various lasers will be given. Further topics include electro-optical devices for optical modulation, switching and scanning. The last chapter is the light detection, mainly by semiconductor photo-detectors. Numerous applications and engineering examples are presented throughout the course.
This course provides a good understanding of the fundamentals of optical communications; both fiber optics and emerging optical wireless systems will be covered. Some of the topics are: high speed single mode and low speed multimode fibers, step and graded refractive index profiles, different dispersion mechanisms and their effect on high-speed links, advantage of coherent (LASER) light source over incoherent (LED) sources for long haul, high-speed links, photo detectors and their role in bit error rate (BER). Students will do design calculations for point to point and star type fiber optic networks, and they will also be introduced to Synchronous Optical Networks (SONET) and wavelength division multiplexing scenarios. Signal processing performance improvements will also be discussed.
Machine learning and pattern classification are fundamental blocks in the design of an intelligent system. This course will introduce fundamentals of machine learning and pattern classification concepts, theories, and algorithms. Topics covered include: Bayesian decision theory, linear discriminant functions, multilayer neural networks, classifier evaluation, and an introduction to unsupervised
clustering/grouping, self-organization and evolutionary computation.
