Areas of research and professional practice in Electrical and Computer Engineering, including the engineer's role in protecting public safety. Exposure to concepts from other Engineering disciplines. Support material for the academic term, co-operative education, and professional or career development. [Offered: F]
Areas of research and professional practice in Electrical and Computer Engineering. Exposure to concepts from other Engineering disciplines. Support material for the academic term, co-operative education, and professional or career development.
Scheduled, non-credit session to provide information to electrical and computer engineering students. [Offered: W, S]
Propositional logic, predicate logic, set theory, finite automata, temporal logic. [Offered: W, S]
Forces in nature and Newton's laws, Dynamics and circular motion, Work, Energy and conservation of energy. Linear Momentum and linear Impulse, Rotational Dynamics. Oscillations; Simple Harmonic Motion. Wave motion; Traveling waves and standing waves. [Offered: F]
Electrostatics; electric field, flux, Gauss's Law, potential and potential energy. Capacitors; Dielectric, capacitance, electric energy storage. Resistors; charge flow, current, resistance. Magnetostatic; magnetic force, magnetic fields, Ampere's Law. Inductors; magnetic flux, inductance, magnetic materials, magnetic energy storage. Time-Varying Fields; Faraday's Law, mutual inductance, simple motors and generators. [Offered: W, S]
Introduction to discrete mathematics, including: propositional/Boolean logic, syntax and semantics, proof theory, and model theory; set theory, relations and functions, combinatorics (counting techniques, permutations, and combinations), graph theory. Applications in electrical, computing and software engineering. [Offered: W, S]
Number systems and Boolean arithmetic. Boolean algebra and simplification of Boolean functions. Combinational circuits. Sequential circuits; design and implementation. Hardware description languages. Timing analysis. Implementation technologies. [Offered: W, S]
Coulomb's law and electric field, Gauss' law and electric flux, energy and potential, dielectrics, capacitors and capacitances, Poisson's and Laplace's equations, electric currents, metallic conductors, Ohm's law, Kirchhoff's voltage and current laws, resistances, electric energy dissipated, Ampere's circuital law, magnetic materials and magnetic circuits, Faraday's law, inductances, electric energy stored, semiconductors, pn junctions, Zener diode, diode circuits, ideal op-amp and op-amp circuits. [Offered: F]
Analysis of linear circuits. Voltage, current, resistance, capacitance, inductance, voltage source, current source, dependent sources, Ohm's Law, Kirchhoff's Laws, nodal analysis, mesh analysis, circuit transformations, operational amplifier circuits, time response, sinusoidal steady-state response. Preparing for, conducting, and reporting of laboratory experiments. Safety-orientation training, including WHMIS assessment, is included in this course. [Offered: W, S]
Software design process in a high-level programming environment. Programming fundamentals, language syntax, simple data types, control constructs, functions, parameter passing, recursion, classes, arrays and lists, list traversals, introduction to searching and sorting algorithms, basic object-oriented design, polymorphism and inheritance, simple testing and debugging strategies, pointers and references, basic memory management. [Offered: F]
Introduction to embedded systems, review of engineering design and analysis principles, software development life cycle, integrated development environments, use of software requirements and specifications, unified modelling language and documentation, event handling, simulation, project management, project scheduling, testing, verification, and maintenance considerations. [Offered: W, S]
Introduction to Electrical and Computer Engineering with an emphasis on the profession of engineering and engineering design. Topics include: engineering design, safety, risk analysis, engineering data analysis, project management, sustainability, business, entrepreneurship, and intellectual property. Additional topics include: co-op fundamentals for engineering students, professional development, and diversity training with a goal of understanding the roles and responsibilities of the professional engineer in society. [Offered: F]
This course teaches engineering economics and the impact of engineering on the society at large. Important concepts of engineering economics including cash flow diagrams, present worth, quantification of impact costs, and rate of return analysis are presented. This course discusses real-life engineering cases that cover the above aspects and provide a broad perspective on the issues. Energy supply scenarios and the environment, global energy use and supply, and environmental impacts of engineering projects are discussed. [Offered W, S, first offered Winter 2019]
Areas of research and professional practice in Electrical and Computer Engineering. Exposure to concepts from other Engineering disciplines. Support material for the academic term, co-operative education, and professional or career development.
Areas of research and professional practice in Electrical and Computer Engineering. Exposure to concepts from other Engineering disciplines. Support material for the academic term, co-operative education, and professional or career development.
Scheduled, non-credit session to provide information to electrical and computer engineering students. [Offered: F, W]
Scheduled, non-credit session to provide information to electrical and computer engineering students. [Offered: F, S, first offered Spring 2019]
Ensemble model of randomness. Conditional probability, independence, and Bayes' theorem. Random variables, probability distribution functions. Expected values. Collections of random variables, joint and marginal probability distributions, and correlation. Introduction to random processes. [Offered: F, S, first offered Spring 2020]
Application of computational methods to engineering problems. Number systems, errors and error propagation. Roots of nonlinear equations. Introduction to numerical linear algebra. Interpolation and numerical integration. Introduction to numerical solutions of ordinary differential equations, optimization. Emphasis will be placed on algorithm development. [Offered: F, W]
Application of computational methods to engineering problems. Number systems, errors and error propagation. Roots of nonlinear equations. Introduction to numerical linear algebra. Interpolation and numerical integration. [Offered: F, W]
Application of computational methods to engineering problems. Introduction to numerical solutions of ordinary differential equations, optimization. [Offered: F, S]
Fourier series. Ordinary differential equations. Laplace transform. Applications to linear electrical systems. [Offered: F,W]
Triple integrals, cylindrical and spherical polar coordinates. Divergence and curl, applications. Surface integrals, Green's, Gauss' and Stokes' theorems, applications. Complex functions, analytic functions, contour integrals, Cauchy's integral formula, Laurent series, residues. [Offered: F,S]
Discrete, continuous and periodic signals, time- and frequency-domain analysis of continuous- and discrete-time linear systems, periodic signals and Fourier series, non-periodic signals and Fourier transforms. [Offered: F, S]
Formal logics, methods, and associated tools, and their uses in specifying, synthesizing, and verifying computing systems. Predicate logic. Temporal logic. Relational logic. Set theory. Proof theory. Model theory. Graph theory. Formal models of computation. Applications in computer and software engineering. [Offered: F, S, first offered Spring 2019]
Review of wave-particle duality, basic quantum mechanics, Schrodinger equation, energy bands in crystals, basic properties of semiconductors, intrinsic and doped semiconductors, electrons and holes, metals and alloys, superconductivity, phonons and heat capacity, dielectric materials, optical properties, dielectric properties and magnetic properties of materials. [Offered: F, S]
Computer organization. Memory units, control units, I/O operations. Assembly language programming, translation and loading. Arithmetic logic units. Computer case studies. [Offered: F, W]
Microprocessor system architecture, bus systems, memory systems, peripherals, parallel interfaces, serial interfaces, analog interfaces, data transfer, synchronization, error detection/correction, testing and debugging. [Offered F, W, S]
Review of band theory and doped semiconductors in thermal equilibrium, charge neutrality, mass action law, recombination and transport mechanisms, Boltzmann relations, derivation of p-n junction dc and ac characteristics, charge storage effects. The bipolar transistor; derivation of dc and ac terminal characteristics, equivalent circuits. The junction field effect transistor (JFET) and metal oxide semiconductor FET, derivation of dc characteristics. [Offered: F, S, last offered Fall 2010]
Introduction to electronic signal processing; operational amplifier circuits; diode device and circuits; MOS (metal-oxide semiconductor) and bipolar amplifier biasing networks; load-line analysis; diode, MOS and bipolar small-signal equivalent circuits; single-stage small-signal MOS and bipolar amplifiers; transistor switches. [Offered: F, W]
An introductory level course on circuit analysis techniques for use in circuit design. The course covers linear circuit analysis and design in detail and touches on extensions for circuits with simple nonlinearities such as op-amps, diodes and transistors. [Offered: F, S, last offered Fall 2010]
Electronic circuits and their limitations, including; differential pairs, biasing, the cascode configuration and active loads. Differential and multistage amplifiers. Feedback, stability and compensation. CMOS logic circuits. [Offered: F, S]
Data structures, abstract data types, recursive algorithms, algorithm analysis, sorting and searching, and problem-solving strategies. [Offered: F,W]
Programming paradigms, symbolic programming, formal languages, regular expressions, grammars, program translation, scope, control abstraction, data abstraction, type systems, storage procedures, code generation, program loading, execution. [Offered: F, last offered Fall 2010]
Processes and threads (pthreads); system calls; concurrency (semaphore, mutex, monitors, and barrier synchronization); user-level memory management. Performance and correctness of concurrent systems. Deadlock detection and recovery; file systems. [Offered: F, S, first offered Spring 2019]
Concepts of operating systems and systems programming; utility programs, subsystems, multiple-program systems; processes, interprocess communication, synchronization, and concurrency; memory management, segmentation, and paging; loading and linking, libraries; resource allocation, scheduling, performance evaluation; I/O systems, storage devices, file systems; protection, security, and privacy. [Offered: F, S]
Power systems and their fundamental components and models. Introduction to the principles of electromechanical energy conversion, including transformers and rotating machines, in particular (direct current) dc, induction and synchronous machines. [Offered: F, S, first offered Spring 2019]
Energy resources and electric power generation. Power system structure: generation, transmission, and distribution. Power system components: generators, transformers, transmission lines, and circuit breakers. Power system analysis: power flow, active and reactive power controls, fault analysis and protection, power system stability. [Offered: F, S, last offered Fall 2010]
An introduction to engineering law and ethics: ethical theories, code of ethics and misconduct, whistle blowing, conflict of interest, health and safety, diversity, workplace equity and sexual harassment, environment, Charter of Rights and Freedoms, torts, contract, and intellectual property. Continuation of studies of professional practice: history, Professional Engineers Act and Regulation, licensing, discipline and enforcement. [Offered: F, W]
Practical aspects of analog and digital instrumentation. Prototyping such as printed circuit board design and manufacture. [Offered: F, S, first offered Spring 2019]
Areas of research and professional practice in electrical and computer engineering. Exposure to concepts from other Engineering plans. Support material for the academic term, co-operative education, and professional or career development.
Scheduled, non-credit session to provide information to electrical and computer engineering students. [Offered: W, S, first offered Winter 2020]
Scheduled, non-credit session to provide information to electrical and computer engineering students. [Offered: F, W, first offered Fall 2020]
Ensemble model of randomness. Conditional probability, independence, and Bayes' theorem. Random variables, probability distribution functions. Expected values. Collections of random variables, joint and marginal probability distributions, and correlation. Introduction to Statistics. Confidence intervals. Estimation. Chi-squared test. p-values. [Offered: W, S, first offered Winter 2020]
This course provides in depth knowledge of statistics motivated by electrical and computer engineering applications. Use of modern statistical software tools is introduced. Topics include sufficient statistics, exponential families, hypothesis testing, error estimation, confidence intervals, chi-square tests, analysis of variance, regression, correlation, decision theory, and Bayesian and non-Bayesian statistics. [Offered: F, W, first offered Fall 2021]
Macroscopic approach to energy analysis. Energy transfer as work and heat, and the First Law of thermodynamics. Properties and states of simple substances. Control-mass and control-volume analysis. The essence of entropy, and the Second Law of thermodynamics. The Carnot cycle and its implications for practical cyclic devices. Introduction to heat transfer by conduction, convection, and radiation. Basic formulation and solution of steady and transient problems. Issues relevant to the cooling of electrical devices. [Offered: W,S]
Ensemble model of randomness. Conditional probability, independence, and Bayes' theorem. Random variables, probability distribution functions. Expected values. Collections of random variables, joint and marginal probability distributions, and correlation. Introduction to Statistics. Confidence intervals. Estimation. Chi-squared test. p-values. [Offered: W, S]
Introduction to random processes, power spectral density. Thermal noise and the white noise model. Amplitude and angle modulation, generation and detection schemes. Sampling and reconstruction, quantization. Digital baseband transmission. Overview of digital passband communications. [Offered: F, W]
Organization and performance of uniprocessors, pipelined processors, dynamically scheduled processors, parallel processors and multiprocessors; memory and cache structures; multiprocessor algorithms and synchronization techniques; special-purpose architectures. [Offered: F, W, first offered Fall 2020]
Microprocessor system architecture, buses, memories, peripheral connections, parallel, serial, analog interfaces, magnetic storage media, data communications, testing and debugging. [Offered: S, last offered Spring 2011]
Synchronization and data flow; interfacing to sensors and actuators; microprocessor system architecture, parallel, serial, and analog interfacing; buses; direct memory access (DMA); interfacing considerations.
Design and modelling of digital hardware systems using a hardware description language. Development process. Impact of implementation technologies. Performance analysis and optimization. Functional verification. Timing analysis. Power analysis and optimization. Faults and testability. Reliability and fault tolerance.[Offered: W, S]
Review of band theory and doped semiconductors in thermal equilibrium, charge neutrality, mass action law, recombination and transport mechanisms, Boltzmann relations. Device theory and modelling of p-n junction diode and derivation of dc and ac characteristics, charge storage effects. Principles, device theory and modelling of Metal-Oxide Semiconductor Field-Effect Transistors (MOSFETs) and the derivation of threshold voltage, dc current characteristics, small signal ac models. Principles of Bipolar transistor and derivation of dc and ac terminal characteristics, equivalent circuits. [Offered: F, W]
Amplifier biasing networks; small-signal equivalent circuits; single and multi-stage small-signal amplifiers; high and low frequency response; negative feedback amplifiers; oscillators; noise in electronic circuits; introduction to large-signal amplifiers, overview of digital circuits. [Offered: F, W, last offered Winter 2012]
Electronic circuits and their limitations, including: differential pairs, biasing, the cascode configuration and active loads. Differential and multistage amplifiers. Feedback, stability and compensation. Complementary metal-oxide semiconductor (CMOS) logic circuits. [Offered: W, S, first offered Winter 2020]
Discrete and continuous signals, convolution, network equations, simulation graphs, Fourier series and transform, frequency response of networks, Laplace transform, z-transform. [Offered: W, S, last offered Spring 2011]
Memory/virtual memory and caching; I/O devices, drivers, and permanent storage management; process scheduling; queue management in the kernel; real-time kernel development. Aspects of multi-core operating systems. [Offered: F, W, first offered Fall 2020]
Programming paradigms, compilation, interpretation, virtual machines. Lexical analysis, regular expressions and finite automata. Parsing, context-free grammars and push-down automata. Semantic analysis, scope and name analysis, type checking. Intermediate representations. Control flow. Data types and storage management. Code generation. [Offered: W, S]
Introduction, basic concepts, process management, interprocess communication and synchronization, memory management, file systems, resource management, interrupt handling, concurrent programming. [Offered: W]
Requirement analysis, specifications, software design, software development environments, testing, software project management, quality assurance and control.
Data models, file systems, database system architectures, query languages, integrity and security, database design. [Offered: F, W]
This course is a comprehensive introduction to computer networks. The focus is on the concepts, the protocols, and the fundamental design principles that have contributed to the success of the Internet. Topics include: history of the Internet, transmission media and technologies, switching and multiplexing, protocols and layering, wired and wireless LAN (local-area networks), congestion/flow/error control, routing, addressing, internetworking (Internet) including TCP (transmission control protocol). [Offered: F, W, S]
Fundamentals of power systems, analysis techniques including power flow and symmetrical fault analyses, and the basics of distribution systems and smart grids. [Offered: F, W, first offered Fall 2020]
This course is an introduction to basic modeling and analysis techniques in electricity generation, transmission and distribution, including basic concepts in nonlinear system analysis. Functional descriptions and modeling of generators, transformers, transmission lines, motors and other loads are discussed. Power flow analysis techniques are studied in detail, from the basic equations to their use in power networks. Fault analysis and basic protection concepts are also discussed. [Offered: F, W]
Principles of electromechanical energy conversion. Rotating machines. DC motors. Induction motors. Synchronous machines. [Offered: F, W, last offered Winter 2012]
Vector analysis of electrostatic fields: Coulomb's law, Gauss's law, electric potentials, capacitors, boundary conditions in dielectric and conductors. Magnetostatic fields: magnetic forces, Ampere's law, inductors, and magnetic boundary conditions. Poisson's and Laplace's equations. Theory of transmission lines. Smith chart and impedance matching. Time varying fields and Maxwell's equations. Plane wave propagation. [Offered: W, S, last offered in Spring 2011]
Review of transmission line and scattering matrix representation of radiofrequency (RF) circuits, multiport RF networks, modern RF and microwave planar technology, lumped and distributed microstrip circuits, microwave couplers, Hybrids, resonators, filters, Low-noise amplifiers (LNAs), RF oscillators and mixers, computer-aided design (CAD) tools for RF circuits, Hybrid and monolithic RF circuits. [Offered: F, W, first offered Fall 2020]
Maxwell's equations; plane waves; time-harmonic fields; waves at planar boundaries; boundary conditions; reflection and transmission; transmission lines; electric fields in matter; magnetic fields in matter. [Offered W, S]
Introduction to control systems. Advantages of closed-loop feedback systems. The role of the system mathematical model. Block diagrams and signal flow graphs. The basic control system design problem, stability in control systems. Frequency response analysis techniques. Root-locus analysis. Elementary lead-lag compensation. [Offered: W, S]
Introduction to design-project management, the impact of technology on society and the environment, and engineering economics. [Offered: F, W]
Seminar preparing students for the engineering design project done in ECE 492A/B. Discussion of the requirements and available resources. Brief examination of design approaches, project-management issues, and illustrative case studies. Students form a four-person project group, determine a project topic, present/discuss it in class, and complete a project-approval process. [Offered: F, W, S, last offered Winter 2012]
Scheduled, non-credit session to provide information to electrical and computer engineering students. [Offered: S, first offered Spring 2021]
Scheduled, non-credit session to provide information to electrical and computer engineering students. [Offered: W, first offered Winter 2022]
Temperature and thermodynamic equilibrium. Work, internal energy and heat; first law, with examples. Kinetic theory of gases. Basic probability theory. Microscopic states and entropy. Absolute temperature, reversibility and the second law. Thermodynamic Functions and Maxwell's relations. Phase transitions. Third Law. Other applications of thermodynamics. [Offered: F, S]
Electromagnetic waves and the nature of light. Geometrical optics, aberrations. Physical Optics: interference, Fraunhofer and Fresnel diffraction, polarization. Optical instruments. [Offered: F, W]
Introduction to quantization, wave-particle duality and the uncertainty principle. The Schroedinger equation and solvable examples. Topics include stationary states of particle-in-a-box, harmonic oscillator and the hydrogen atom. Quantization of angular momentum and spin. Introduction to approximation methods including time-independent perturbation theory. Modern applications of quantum mechanics. [Offered: W]
Design and analysis of efficient, correct algorithms. Advanced data structures, divide-and-conquer algorithms, recurrences, greedy algorithms, dynamic programming, graph algorithms, search and backtrack, inherently hard and unsolvable problems, approximation and randomized algorithms, and amortized analysis. [Offered: W]
Introduction to cryptology and computer security, theory of secure communications, points of attack, conventional cryptographic systems, public key cryptographic systems, standards, firewalls, wireless system security, applications. [Offered: W]
Baseband transmission techniques, digital multiplexing, line coding, pulse shaping, intersymbol interference (ISI) and equalization. Representation of signals, vector equivalent channel models, design of signal sets, pulse detection and matched filtering, optimum and maximum-likelihood receivers. Techniques of digital modulation, multicarrier modulation, probability of error, synchronization, and their performance trade-offs. Spread-spectrum communication. [Offered: S]
Entropy, lossless source coding, and data-compression methodology using Huffman coding, arithmetic coding, and Lempel-Ziv algorithms. Mutual information, channel capacity, and techniques for error correction using block and convolutional codes. Trellis-coded modulation. Direct-sequence and frequency-hopped spread-spectrum systems and applications. [Offered: W]
Fourier representations in discrete and continuous time. Discrete Fourier transform and fast Fourier transform algorithms. Sampling theory. Sampling and quantization errors. Transform analysis of linear time-invariant systems. Filter design. Discrete Hilbert transform. Introduction to filter banks and discrete wavelet transform. [Offered: S]
Overview of wireless communications including standards. Characterization of mobile radio propagation channels. Signal representations. Transmission and reception techniques for wireless channels. Fundamentals of cellular communications and multiple-access schemes. [Offered: S]
Overview of multimedia communications system, digital representation of multimedia signals, introduction to multimedia coding theory, entropy, rate distortion function, Huffman coding, arithmetic coding, run-length coding, Lempel-Ziv coding, quantization, Lloyd-Max algorithm, JPEG (Joint Photographic Experts Group) compression, hybrid video coding, MPEG (Moving Picture Experts Group) 4 and H.264 coding standards, HEVC (High Efficiency Video Coding), rate control, RTP (Real-time Transport Protocol), error control coding, unequal error protection, error concealment, multimedia security, watermarking. [Offered: W]
This course introduces advanced topics in networking with a focus on applications and wireless technologies. Topics include: Cellular networks (2G, 3G, 4G and beyond), applications (Domain Name System [DNS], Simple Mail Transfer Protocol[SMTP], Post Office Protocol [POP], Internet Message Access Protocol [ IMAP], Hypertext Transfer Protocol [HTTP]) and socket programming, Content-centric networks (content delivery networks, peer-to-peer protocols, data centers, etc.), protocols for multimedia applications (Session Initiation Protocol [SIP], Real-time Transport Protocol [RTP], RTP Control Protocol [RTCP]), emerging technologies (Internet of Things, sensors, software defined networks), policy issues (network neutrality, who controls the Internet?). [Offered W]
This course introduces the basic theories and methodologies of digital image processing. Topics include intensity transformations for image enhancement, two-dimensional discrete Fourier transform, spatial and frequency domain linear image filtering, nonlinear image filtering, binary image processing, edge detection, image segmentation, and digital video processing basics. [Offered: W]
Introduction to communications networks. Network architecture. Probabilistic description of network Queuing analysis. Packet transmission and error control. Dynamic routing. Media access control. Connection admission and congestion control. Design tradeoffs and performance evaluation. Application examples. [Offered: S]
Security architecture and infrastructure, basic principles of trust and trust models. Network domain security, protected tunnels, and network security protocols. Access authentication, remote access, authentication models and mechanisms, authentication servers and protocols. Broadcasting and multicast security, key tree based multicast key distribution, and key revocation methods. Trusted platform, hardware based trust model, secure boot, and operating system security management. Radio link protection, and seamless security for mobility. [Offered: S]
Specification and design of embedded systems, specification languages, hardware/software co-design, performance estimation, co-simulation, verification, validation, embedded architectures, processor architectures and software synthesis, system-on-a-chip paradigm, retargetable code generation and optimization, verification and validation, environmental issues and considerations. [Offered: W]
This course examines the upper layer protocols used in computer networks. These include TCP/IP, UDP and the ATM Adaptation Layer as well as network management functions. Facilities for large networks such as the Internet will be discussed (protocols, multimedia, compression, etc.). This is followed by an introduction to cryptography and information security. Elements of classical and public key cryptography as well as their implementations will be covered. Network applications such as electronic commerce and wireless network security will also be discussed.
Organization and performance of conventional uniprocessors, pipelined processors, parallel processors and multiprocessors; memory and cache structures; multiprocessor algorithms and synchronization techniques; special-purpose architectures. [Offered: S]
The theory and practice of Radio Frequency (RF) engineering, transmission lines, and scattering parameters; design of RF components (low noise amplifiers, power amplifiers, oscillators, RF power detectors, active/passive mixers, power amplifiers); properties and representation of noise; passive device design (microstrip lines, diodes, IC resistors, IC capacitors, and IC inductors); active device design (bipolar and FET's). [Offered: S]
An introduction to the theory and practice of Radio Frequency (RF) Integrated Circuit design. Physics and modelling of RF integrated components such as resistor, inductor, capacitor (RLC) passives, diodes, metal oxide semiconductor field-effect transistors (MOSFETs), high electron mobility transistors, hetero-junction bipolar transistors. RF integrated components properties and representation such as short channel effects, noise parameters, transit frequency (ft), maximum frequency of oscillation (fmax), and quality factor.[Offered: S]
Processes for Micro and Nano electronic fabrication. Semiconductor crystal growth. Thin films by chemical and physical vapor deposition. Epitaxial growth. Plasma-assisted and wet-chemical etch processes. Nano-structured material synthesis. Junction formation. Dielectric layer growth. Photolithography. Patterning on the nano-scale. Fabrication processes for Transistors, complementary metal-oxide semiconductor (CMOS), and Thin film devices. Micro-electro-mechanical systems (MEMS) technology. Process techniques for Nanoelectronic devices. [Offered: W]
Physical principles, design, and microfabrication technologies pertinent to input (sensor) and output (actuator) devices for multimedia applications such as document and video imaging devices, micromirror projection displays, and micro-electro-mechanical systems. [Offered: W]
Integrated system design, memory cells and systems, logic arrays, VLSI design methodologies, applications in digital signal and data processing systems. Low-power, low-voltage design issues. [Offered: W]
Switching characteristics of transistors, digital integrated circuits, including ECL, T2L, CMOS, BiCMOS. Low voltage, low-power and high-performance design issues. [Offered: S]
Design of analog circuits such as current sources and mirrors, differential, low-noise and feedback amplifiers, mixers and oscillators; applications of these circuits in areas such as A/D and D/A conversion and receiver front-end will be covered. [Offered: W]
Computer formulation of matrix equations for arbitrary circuits, active network analysis; sensitivity analysis of networks in the frequency domain; design of bilinear and biquad sections; cascade design; approximation methods for lowpass filters; frequency transformation for design of highpass, bandpass, bandstop filters. [Offered: W]
Analog electronics exploits the physical behaviour of electronic devices to create electronic systems. The performance of single and multiple transistor amplifying stages are studied. Followed by a study of biasing, current mirror and output stages, which are then combined in the study of operational amplifier circuits. Frequency response and feedback are then reviewed leading to a detailed study of stability and compensation for multistage and operational amplifiers. The course finishes with a look at selected topics from A/D (analog-to-digital) converters, oscillators and phase-locked loops. [Offered: W]
Review of the Metal-Oxide Semiconductor (MOS) transistor: Static and dynamic behavior, short channel effects, scaling trends, Simulation Program with Integrated Circuit Emphasis (SPICE) models. Complementary Metal-Oxide Semiconductor (CMOS) inverter; combinational CMOS circuit design - logic styles for low power, high performance circuits; sequential CMOS circuit design - flip-flops, pipelines, Schmitt trigger; CMOS arithmetic circuits; interconnect parasitic; clocking and timing considerations in digital Very Large Scale Integration (VLSIs). [Offered: S]
Introduction to selected areas of software science and engineering: data abstraction; object oriented approaches; real-time operating systems; translators; software specification, design and testing.
Introduces students to the requirements definition phase of software development. Models, notations, and processes for software requirements identification, representation, analysis, and validation. Cost estimation from early documents and specifications.
Introduces students to the design, implementation, and evolution phases of software development. Software design processes, methods, and notation. Implementation of designs. Evolution of designs and implementations. Management of design activities.
Introduces students to systematic testing of software systems. Software verification, reviews, metrics, quality assurance, and prediction of software reliability and availability. Related management issues.
Principles of distributed computing; architectures and middleware; servers, processes, and virtualization; upper-layer network protocols, interprocess communication and remote procedure calling; concurrency, synchronization and distributed algorithms, dependable distributed systems and fault tolerance. [Offered: S]
Concepts, theory, tools, and practice to understand, design, and write embedded software. This course covers computing elements, structures in embedded software, resource access protocols, uniprocessor scheduling, programming-language support, languages for MDD (model-driven development), worst-case execution time analysis, and overview of embedded distributed systems. [Offered: S]
Introduction, data models, file systems, database system architectures, query languages, integrity and security, database design. [Offered: W, last offered Winter 2013]
Artificial intelligence concepts and techniques, including search, inference, knowledge representation and planning. Knowledge-based systems. Applications in electrical and computer engineering, with emphasis on design and maintenance. [Offered: F]
The course starts by addressing the ill-structured problems and need for computational intelligence methods. It introduces the concepts of heuristics and their use in conjunction with search methods, solving problems using heuristics and metaheuristics, constraints satisfaction. The course also introduces the concepts of cooperation and adaptations and how they are influencing new methods for solving complex problems. The course starts by illustrating how the concepts of cooperation and adaptation are manifested in nature and how such models are inspiring new types of solutions methods. Topics to be covered include: search algorithms, game playing, constraints satisfaction, meta-heuristics, evolutionary computing methods, swarm intelligence, ant-colony algorithms, particle swarm methods, adaptive and learning algorithms and the use of these algorithms in solving continuous and discrete problems that arise in engineering applications. [Offered: S]
Introduces novel approaches for computational intelligence based techniques including: knowledge based reasoning, expert systems, fuzzy inferencing and connectionist modeling based on artificial neural networks. The focus is on the use of soft computing approaches to deal effectively with real world complex systems for which their mathematical or physical models are either non-tractable or are difficult to obtain. The main thrust is on designing computationally intelligent systems with human like capabilities in terms of reasoning, learning and adaptation. Tools of computational intelligence could be used in a wide range of engineering applications involving real world problems such as in: planning problems, intelligent control, autonomous robotics, speech understanding, pattern analysis, network design, face recognition, communication systems to name a few. [Offered: W]
Introduction to computer security. Models of security. Elementary cryptography. Software security, vulnerabilities, threats, defenses and secure-software development processes. Threats to networks and defenses. Security issues at the application layer. Secure design principles, techniques and security evaluation. Privacy, ethics and legal issues. [Offered: S]
Profiling computer systems; bottlenecks, Amdahl's law. Concurrency: threads and locks. Techniques for programming multicore processors; cache consistency. Transactional memory. Streaming architectures, vectorization, and SIMD. High-performance programming languages. [Offered: W]
This course provides the students an understanding of the operation, analysis and design of electric power distribution systems, starting with estimation of the loads on the network to the detail design of the distribution system networks. The primary objective of the course is to provide students with the skills to understand the analytical and design methods and modern tools for solution of problems associated with electric distribution system engineering. [Offered: S]
Principles of power conditioning. Switching characteristics of power semiconductor devices. Computer simulation of power electronic circuits. Analysis, design, and applications of power converters. [Offered: S]
The course provides the fundamentals concepts of generation and measurements of high voltage ac, dc, and impulses. Briefly introduces the students to basic conduction and breakdown mechanisms of insulating materials. The scope of this course also includes understanding the basic protection system, studying the principles for protecting different elements and studying different technologies used in designing protective relays. Exposure to several state-of-art high voltage testing techniques of power system components will ensure that students have knowledge of the industrial solutions to the management of the problems associated with overvoltage and the protection mechanisms used. [Offered: W]
This course provides a basic understanding of the main issues relevant to the operation, analysis and management of power grids, and gives an introduction to the functioning of electricity markets. The course covers the following main technical and economic issues relevant to system operators, utilities and analysts: power system economic operations; short-term operation of power systems; power flow; introduction to optimal power flows; overview of electricity markets; fault calculations; and basic concepts in power system stability and control. [Offered: W]
Review of Maxwell's and wave equations: application of plane waves: reflection, refraction lossy medium. Scattering parameters, analysis of microwave circuits. Basic microwave circuits. Waveguides: metallic waveguides (rectangular and cylindrical); dielectric waveguides (slab and fiber). Antenna technology. [Offered: S, last offered Spring 2012]
Review of transmission line and scattering matrix representation of radiofrequency (RF) circuits, multiport RF networks, modern RF and microwave planar technology, lumped and distributed microstrip circuits, microwave couplers, Hybrids, resonators, filters, Low-noise amplifiers (LNAs), RF oscillators and mixers, CAD tools for RF circuits, Hybrid and monolithic RF circuits. [Offered: S]
Modern transmitter and receiver architectures, Noise and linearity in radio and wireless systems, Design considerations of RF/microwave subsystems, radio and wireless system designs, CAD tools for radio and wireless systems, Antennas, Radio wave propagation models, Indoor radio, Satellite communication, Personal communication systems (PCSs). [Offered: W]
Review of Maxwell's equations and uniform plane waves. Electromagnetic wave propagation, reflection and transmission through different uniform media, metallic waveguides, multilayer structures, radiation theory, transmitting and receiving antenna, antenna arrays and applications, simple radio-wave propagation models, radio transmission systems and wireless networks. [Offered: S]
Fundamentals of electromagnetic radiation theory applied to practical antennas and radiowave links are presented. Based on practical system models for antennas and radio links, analysis and design of important RF/microwave and wireless communication systems are described. Special propagation effects and antenna behaviors in wireless communication systems (urban macro and micro-cellular, and indoor links) are covered. [Offered: W]
Review of Maxwell's equations and electromagnetic plane waves, Dielectric waveguides, Optical fibers, lasers and photonic transmitters, Photodetectors and photonic receivers, optical amplifiers, and photonic systems and networks. [Offered: W]
Performance specifications for design. Dynamic system modelling and basic system identification. Dealing with basic nonlinear effects. Sampled data systems. Discrete-time system stability and dynamic performance. Digital control system design: emulation methods, z-domain, frequency domain, pole placement. Implementation of digital controllers. [Offered: S]
Dynamic system modeling: linear, nonlinear, state-space, sample data systems, computer simulation, system identification. Discrete system stability and dynamic performance. Nonlinear system analysis, limit cycles. Digital control system design: emulation methods, z-domain, frequency domain, pole placement. Implementation of digital controllers. Laboratory projects in computer control of mechatronic and other systems. [Offered: F, W]
Homogeneous transformations. Kinematics and inverse kinematics. Denavit-Hartenberg convention. Jacobians and velocity transformations. Dynamics. Path planning, nonlinear control. Compliance and force control. [Offered: S]
Review of feedback control design fundamentals; SISO controller parameterizations; the fundamental effect of MIMO interaction; introduction to state-space models in continuous and discrete time; SISO techniques for MIMO design; optimal control; model-predictive control design; state estimation; decoupling, MIMO PID control design; applications in areas such as aerospace systems. [Offered: W]
Individual and group work comprising the design activity and report-preparation phases of the engineering design project. The team-oriented project is to comprise a significant design experience based on the knowledge and skills acquired by students in previous courses and on cooperative work terms. Project groups reconfirm project approval, establish and maintain progress monitoring through a faculty consultant, complete the design work, and submit a written interim report. Groups also prepare the written final report and presentations delivered in ECE 492B. [Offered: F, W, S, last offered Spring 2012]
Communication component of the engineering design project. Submission of a written final report for the project work done in ECE 492A. Lecture-style technical presentation by group members in a one-half-hour time slot. Poster-style technical presentation with group members available to discuss the project. [Offered: F, W, S, last offered Winter 2013]
Special courses on advanced topics will be offered from time to time, when resources are available. For current offerings, inquire at the ECE Undergraduate Office or check the ECE website.
Team-oriented design-project which comprises a significant design experience based on the knowledge and skills acquired by students in previous courses and on co-operative work terms. Development of the design specification and plan documents, followed by the initial design work. [Offered: F, W, S]
Completion of the design cycle started in ECE 498A and communication of the engineering design work. Submission of a written final report. Lecture-style technical presentation by group members. Poster-style technical presentation with group members available to discuss the project. [Offered: F, W, S]
An engineering project requiring the student to demonstrate initiative and assume responsibility. The student will arrange for a faculty supervisor prior to registration. Students can propose their own topic. A project report is required at the end of the term.
This course will discuss fundamental analytical methods required in Electrical and Computer Engineering. Topics include: linear differential equations; elementary linear systems; RLC circuits with engineering applications; numerical methods; basic statistics and optimization.
This biomedical engineering core course focuses on equipping students with the foundational knowledge in human biology through a problem-solving oriented treatment of biological phenomena at both physiological and cellular levels. The major aim of this course is to develop students' literacy in biology and to show them how various biological phenomena can be analytically explained and justified with numbers. It is also intended to illustrate how biology knowledge can be integrated with engineering principles to address real-world diagnostic needs. Case descriptions would be included of medical devices that involved discipline-specific knowledge in electrical and computer engineering.
Fundamental optimization techniques. Modelling. Shortest path. Network flow. Matching. Set packing, covering partitioning. Branch and bound. Cutting Planes, Dynamic programming. Search Heuristics. (Students will gain valuable background in optimization techniques that are applicable to a wide range of engineering problems. They will also gain experience using a state of the art optimizer, in solving an optimization problem of their own choice using techniques discussed in the course).
Optimum mininum mean-square error (MMSE) Wiener filtering. Parametric and non-parametric spectrum estimation. Eigenstructure-based frequency estimation. Statistical parameter estimation using maximum likelihood (ML), maximum a posteriori probability (MAP), minimum mean-square error (MMSE) and least squares (LS) methods. Adaptive signal processing using least-mean-squares (LMS) and recursive least-squares (RLS) approaches. Discrete-time Kalman filtering. Recommended background: ECE 316: Probability Theory/ECE 342: Signals and Systems/ECE413: Digital Signal Processing/ECE 604: Stochastic Processes.
Theory of random variables, vectors and processes. Conditional probabilities and expectations. Convergence of sequences of random variables. Markov chains in discrete and continuous time. Poisson processes. Basic renewal processes. Stationary random processes, correlation, and power spectra. Emphasis on problem solving using probabilistic approaches.
Introduction to queueing theory, queueing models, performance measures, performance analysis and evaluations, Poisson arrivals and exponential service times, Little's formula, Markov and semi-Markov processes, birth-death processes, single server and multiserver queues, single stage and tandem networks, open and closed networks.
This is an introductory course on algorithms at the graduate level. It assumes familiarity with basic data structures such as lists, queues, trees and graphs, and emphasizes creativity in the design of algorithms, and rigorous analysis. Correctness (soundness and completeness) and efficiency (with respect to average-, best- and worst-case time and space) properties are considered in the context of algorithms for classes of problems such as optimization and decision problems. The course also gives insights into when a problem may be intractable, and how we may deal with intractability.
Equivalence relations and congruences. Morphisms, semigroups and monoids. Groups: cyclic groups, subgroups and quotient groups. Rings: subrings, quotient rings, integral domains and fields. Partial orders, lattices and fixpoints of monotone operators.
This biomedical engineering core course focuses on topics related to the use of quantitative tools in biomedical engineering research studies. It will teach students how to conduct statistical analysis of biomedical data, design biomedical experiments that can offer statistical insight, and apply computational methods to solve problems in biomedical engineering. Educational emphasis will be placed on developing students' core competence in biostatistics and biomedical computing, so as to prepare them to pursue biomedical engineering investigations that are backed by quantitative reasoning and numerical insights.
This course is concerned with the fundamentals of broadband communication networks including network architecture, Switch fabrics, design methodology; traffic management, connection admission control (CAC), usage parameter control (UPC), flow and congestion control; capacity and buffer allocation, service scheduling, performance measures, performance modeling and queueing analysis.
Representation of bandpass signals and systems, modulation and demodulation for the additive white Gaussian noise channel, optimal demodulation for signals with random phase, noncoherent detection for binary and M-ary orthogonal signals, hard and soft decision decoding for linear codes, concatenated codes, performance of coded modulation systems, characterization of fading multipath channels, diversity techniques, performance of coded systems on fading channels, direct sequence and frequency hopped spread spectrum systems.
An introduction to information measures, entropy, mutual information and information divergence, noiseless codes and the noiseless coding theorem, channel capacity for discrete and continuous channels, randomly chosen code words, the noisy coding theorem, error rate exponents, computational cut-off rate and its application to digital communications.
This course covers the fundamental concepts and methods, as well as state-of-the-art theories and technologies in the field of image processing and visual communications. Topics include fundamental digital image and video processing methods; image analysis and understanding; statistical image modeling and perception; and robustness, scalability and security issues in visual communications.
Overview of mobile communications, characterization and modeling of wireless fading dispersive channels, optimum receiver structure, transmission performance in fading channels, diversity and performance improvement, co-channel interference, spread spectrum and multiple access, capacity analysis in cellular environments.
This course is concerned with the transmission and reception of signals transmitted over a dispersive channel. It starts by defining the necessary conditions for intersymbol interference free transmission. This will then be followed by a treatment of error performance in the absence and the presence of inter-symbol interference. The effects of channel impairment, the criteria for optimum reception and channel equalization for intersymbol interference removal will be discussed. Spectral shaping (or partial response) techniques will be introduced, which will then be followed by a treatment on digital modulation techniques, including psk, dpsk, fsk and M-ary digital phase modulation.
This course consists of three parts: Part 1 will be concerned with the definitions of entropies as information measures and the derivation of the rate distortion function of Gaussian sources, which will form the basis for performance comparison. Part 2 will discuss the derivations, design and performance of certain compression techniques, including dpcm/entropy coding, predictive coding, linear predictive coding (LPC), adaptive predictive coding (APC), vector quantization, and tree and trellis coding. Part 3 will consider applications of compression techniques to speech and image processing.
Organization of high performance digital computers, high speed arithmetic algorithms, control unit and data flow organization. Pipeline systems. Stack machines, associative processors, parallel processors. Performance evaluation.
Syntax, semantics, and usage of the VHDL hardware description language. Modeling concurrency in VHDL, in other hardware description languages, and using other simulation techniques. Modeling, design, and implementation at the register-transfer level. Functional verification techniques. Timing analysis. Introduction to power analysis and optimization. Introduction to faults and testing.
Evolution of computer security. Types of security threats, hardware threats, software threats, physical threats, cryptanalysis. The theory of secure message passing. Methods of encryption, private networks, Data Encryption Standard, Public Key Cryptosystems. Secrecy and Privacy in a network environment, long haul networks, local area networks. Protocols for computer network security.
General class of fixed-radix number systems. SD numbers. Floating-point representation. Algorithms and architectures for sequential and fast computation of multiplication, division and square root extraction. Elementary Functions. Logarithmic and residue number systems. Finite field arithmetic operations. Error control in arithmetic processors.
Basics of semiconductor physics. Physical principles and operation of p-n junctions, metal/semidconductor contacts, MOS capacitors, MOS field-effect transistors, and related optoelectronic devices. Short-channel MOSFETs, modern MOSFETs, and future transistor technologies. Introduction to device simulators and SPICE models.
Sources and purification of materials, crystal structure, diffusion, oxidation, ion implantation, alloying expitaxy, impurity profiling methods, metallisation, photo lithography. Technologies for VLSI.
Physical source of solar radiation; direct & diffuse radiations; review of electronic materials; semiconductor concepts; optical absorption; generation and recombination processes in semiconductors; operating principles of photovoltaic devices; homo- and hetero- junction devices; equivalent circuits; quantum efficiency; current-voltage characteristics; Efficiency limits in photovoltaic devices; short circuit current and open circuit voltage losses; temperature effect; material-imposed limits; theoretical and practical limits; Photovoltaic device design and fabrication; silicon-based devices; gallium arsenide devices; thin film devices; device simulation; fabrication technologies; Advanced photovoltaic concepts; nano-structure and organic PV devices; System-level photovoltaics; module structure and design; back-end electronics; stand-alone and grid-interactive systems; photovoltaic hybrid systems.
This course will cover the following topics; Basics of quantum mechanics; Quantum confinement; Boundary conditions; Schrodinger equation; Basic function; Density matrix; Energy bands; Subbands; Reciprocal lattice; Brillouin zone; Graphene and graphene nanoribbon; Transport in nanoelectronic devices.
The course gives an overview of organic electronic and optoelectronic devices. It begins with a review of electronic structure of single organic molecules as a guide to the electronic behaviour of organic aggregates.Various relevant material phenomena are reviewed; including topics from photophysics (absorption and emission of light, excited states, radiative and non-radiative transitions), intermolecular charge transport mechanisms (hopping, disorder), charge injection and transport models, and energy transfer processes. Their applications in light emitting devices, solar cells, thin film transistors, photodetector and imaging photoreceptors, etc. are discussed. Aspects related to device fabrication and patterning may also be addressed.
The research in nanoscale science and technology has seen a very fast growth in the past years. The cornerstone for this exciting growth is the ability to create nanoscale patterns, which is the object of the current course. The course will cover all major nano-lithography technologies capable of generating or duplicating sub-lOOnm patterns, including lithographies based on photons, charged beams, scanning probes, replication and self-assembly. Within each lithographic technique, the students will learn its working principle, related materials and instrument, process and limit. This course is complementary to ECE 631 (Microelectronic Processing Technology), but takes fabrication and associated theory into nanoscale.
Design of MOS and bipolar analog integrated circuits at the transistor level, with an emphasis on the design of single-stage and multi-stage op amps. Related topics include biasing, compensation and noise will be covered. In addition, higher level analog and mixed analog/digital subsystems will be discussed, time permitting. Students enrolling in this course are expected to have a background equivalent to the material covered in ECE 242, formerly ECE 332.
Design of CMOS digital integrated circuits at the transistor level. Related topics include MOSFET switch and 1-V models, logic gate design, transistor sizing, interconnect parasitics, gate delay, timing design, logical effort, static and dynamic logic families, arithmetic structures, latch and flip-flop elements, memory cells and arrays, and input/output circuitry. Students enrolling in this course are expected to have a background equivalent to the material covered in ECE 242, formerly ECE 332.
Overview of basic physical processes in semiconductors and their interactions with thermal, radiant, mechanical, or chemical input signals. Review of microtransducer materials and technologies. Principles and operation of integrated thermal sensors (thermistors, thermopiles, active IC elements, pyroelectric devices), radiant sensors (optoelectronic, infrared and radiation sensors), magnetic sensors (Hall devices, magnetoresistors, magnetotransistors), (mu)mechanical sensors (piesoelectric and peizoresistive devices, flow sensors and resonant structures), chemical sensors (ion, gas and humidity sensors, CHEMFETs, biosensors, SAW devices), and micro-actuators ((mu)valves, (mu)pumps, (mu)motors). Overview or pertinent interface and modelling techniques.
Growth and structure of amorphous silicon (morphology, growth mechanisms, silicon bonding structure, continuous random network, hydrogenation). Electronic states in amorphous silicon (density of states, band tails, optical transitions, defects and defect states). Doping of amorphous silicon, defect reactions and metastable effects. Electronic transport and recombination in amorphous semiconductors. Using amorphous silicon in practice (contacts and surfaces). Applications of amorphous silicon (Schottky diodes, solar cells, optical and radiation sensors, thin film transistors, flat panel displays, large-area electronics).
Transistor-level design of circuits for wideband RF front-ends. An overview of 2G (GSM) and 3G (W-CDMA) standards and relevant radio architectures is presented, with key system specifications mapped onto circuit specifications. On-chip passive component design and simulation aimed at maximizing RF performance is discussed in detail. Circuit examples include: wideband preamplifiers and gain blocks, I-Q up/downconverters, voltage- and digitally-controlled oscillators (VCO/DCO), and power amplifier drivers. Design of circuit blocks for mm-wave frequency applications and RF testing, packaging and characterization are also discussed. Understanding of analog circuit design and semiconductor devices, and analog circuit simulation experience (e.g., SPICE) is required.
Formulation of equations for arbitrary circuits, active network analysis; sensitivity calculations in the frequency domain; simple integration methods for time domain solution; numerical laplace inversion for transient solution of linear lumped and distributed networks; solution of nonlinear circuits; detailed time domain solution of nonlinear networks; simulation of switched networks in time domain; introduction to switched capacitor networks; iterative simulation methods.
Active network analysis, concepts of sensitivity; bilinear and biquad sections; cascade filter design; approximation methods; Butterworth, Chebyshev, Inverse Chebyshev, and Elliptic filters; frequency transformations; passive LC ladder filters; negative impedance converter, FDNR, and gyrator realizations; multi loop feedback and feedforward realization, leap frog realization; introduction to switched capacitor filters.
An introduction to the problems and algorithms that arise during the Computer-Aided Design (CAD) of digital circuits. Course emphasis is on the backend of the CAD flow such as algorithms for solving problems including: technology mapping, partitioning, floor-planning, clustering, placement, routing and physical synthesis.
Software Systems - Systems programming and operating systems, scripting, system calls, libraries, compilers and interpreters. Mathematical logic - propositional & predicate logic, and some higher-order logics, syntax, semantics, entailment, deduction, use of logic in software. Data structures - lists, stacks, queues, heaps, trees, graphs, and algorithms to manipulate such data structures. Graduate students who have previously taken ECE 750 with the topic title Methods and Tools for Software Engineering are not eligible to take ECE 650.
Fundamentals of software requirement analysis, software development as an engineering activity, basic process models, software specifications, modularity, cohesion, coupling, encapsulation, information hiding, principles of object oriented design, software project management, quality assurance and control. Priniciples of Software Architecture: Fundamental software architecture styles, synchronous & as synchronous communication of software components. Languages for software design specification: UML (class diagrams, sequence diagrams, collaboration diagrams, state diagrams). Overview of verification and validation techniques. Maintenance, evolution and reengineering, configuration management. Software metrics, quality assurance, fundamental cost and effort prediction models. Trends in software engineering (e.g., model-driven development, agile approaches).
The application of formal test methods based on the structural and behavioural properties of software systems at the unit integration, and system testing levels; for conventional and object-oriented implementations. Related Background: Prior knowledge of a programming language and a certain maturity in compilers, operating systems, abstract data structures, object-oriented and programming skills.
Introduces students to systematic testing of software systems. Software verification, reviews, metrics, quality assurance, and prediction of software reliability and availability. Students are expected to have programming experience with reading and writing code for large projects.
The course consists of two related parts. The first part deals with the engineering of reliable software. It introductes basic software reliability concepts, descritbes relevant models and discusses processes for engineering of reliable software, including schemes and patterns for the design of reliable and fault tolerant software. The second part addresses development of secure software. It presents key software security concept, techniques and models, overviews major software security vulnerabilities and their exploitation, and considers processes for development of secure software.
This course is concerned with the architecture, protocol and software aspects of mobile systems. The topics to be discussed include mobile communication and computing systems, supporting ad hoc networks, mobile network and transport layers, wireless application protocol, support for mobility, service advertisement and discovery in mobile systems, and emerging issues such as enviornment-aware software and low-power protocols and software.
This course covers data models, file systems, database system architectures, query languages, integrity and security and database design. Students attending this course should have at least a 4A level Electrical Engineering or Computer Engineering background.
Conventional approaches for tackling complex systems are usually implemented under the assumption of a good understanding of the process dynamics/functionalities and its operating environment. These techniques fail, however, to provide satisfactory results when applied to ill-defined processes (for which analytical and experimental modeling may not be easily obtained) that may operate in unpredictable and possibly noisy environment. Recent developments in the area of intelligent systems and soft computing have presented powerful alternatives for dealing with the behavior of this class of systems. This course outlines fundamentals of soft computing based design approaches using such tools as approximate reasoning, fuzzy inferencing, neural networks, evolutionary algorithms, and neuro-fuzzy systems. Fundamentals and advances on these procedures are outlined along with their potential applications to various real world applications in virtually most fields of engineering including pattern recognition, system planning, classification, power generation, intelligent transportation, systems and control, intelligent mechatronics, optimization, communication, robotics and manufacturing, to name a few.
Engineers encounter data in many of their tasks. Whether the sources of this data may be experiments, databases, computer files, or the Internet, there is a dire need for effective methods to model and analyze the data and extract useful knowledge and information from it. This course aims to provide engineering graduate students with essential knowledge of data representation, grouping, mining and knowledge discovery.
Building large-scale and complex software systems from available parts with the goal of increasing return on investment, decreasing time to market, and assuring quality and reliability. The course covers the basic software component concepts, overview of advanced topics on software components and component-based software engineering from research and practice.
This course is concerned with recent developments in intelligent sensors and wireless sensor networks. This course will introduce students to diverse fundamental issues encountered in designing and analyzing intelligent sensors and sensor networks (mobile and stationary), with emphasis on mission critical applications.
Application of state-of-the-art high power electronics to power transmission and distribution systems. The emphasis will be on three important application areas - high voltage direct current (HVDC) transmission systems, flexible AC transmission Systems (FACTS) and Custom Power devices. The course addresses FACTS controllers including: static synchronous compensators (STATCOM), static synchronous series compensators (SSSC), interphase power flow controllers (IPFC) and unified spower flow controllers (UPFC). Custom power devices such as shunt DSTATCOM, series compensating DVR and unified power quality conditioners (UPQC) are also discussed. This course will concentrate on the operating principles, models, and control and performance of power electronic systems used in these applications. Background required - ECE 463 or equivalent.
The definitions and concepts associated with short circuit, power flow and stability analysis are presented and discussed. Models, techniques and tools used for these types of studies are discussed with a practical perspective, and applied to the comprehensive analysis of a typical test system. Controls and protections for voltage, angle and frequency control and regulation, such as Automatic Voltage Regulators (AVR), Power System Stabilizers (PSS) , Automatic Generation Control (AGC), under-voltage and under-frequency relays, are also studied and applied.
This course is intended to embrace power electronic aspects together with the broader issues of the systems of energy processing for emerging technologies. Within this framework, topics include performance, selection and optimization of power semiconductor devices including thyristors, GTOs, triacs, BJTs, MOSFETs, IGBTs and MCTs; classification, circuits and performance of converting circuits including rectifiers, inverters, choppers and cycloconverters; control and protection of conversion circuits; requirements and constraints of energy processing systems such as variable speed drives, high energy battery installations, transportation, solar and wind generators and industrial processes.
The basic structure, functional characteristics and protection schemes of the main components that make up a power system are studied, in particular generators, transformers, transmission lines, cables, loads, HVDC and FACTS controllers. Models of these components for detailed electromagnetic transient analysis and phasor-based studies such as power flow and stability studies are discussed in detail, and various models are compared and validated through simulations performed with commercial software packages. Required Background - ECE 631 or equivalent.
This course deals with the new emerging technology in high voltage engineering. It is divided into five parts. The first part of the course in a review of the basic fundamentals of high voltage engineering. The second part deals with the new techniques in partial discharge measurements. The third part of the course deals with measurements of charge distribution in solid dielectric. The fourth part of the course discusses the optical fiber based monitoring techniques of the high voltage high power equipment. The last part of the course deals with the application of high voltage engineering in power systems.
The course deals in details of power system operation in the context of restructured electricity markets. Basics of power system operation - economic load dispatch, concept of marginal cost, Kuhn-Tucker's conditions of optimum, unit commitments, hydro-thermal coordination, optimal power flow analysis and security constrained economic dispatch are introduced. On the topic of transmission open access, the course discusses transmission pricing paradigms and the role of distribution factors in pricing. Transmission operations cover congestion management methods and firm transmission rights. Ancillary services procurement and pricing and power system security are discussed. Background - ECE 467 or equivalent.
This course covers topics related to sustainable and clean energy resources; distributed generation and utility interfacing. The following topics are covered: Wind power generators; construction; operation theory, modeling and analysis. Wind turbine interfacing techniques with the grid. Photovoltaic energy sources; construction, modeling, loading characteristics and interfacing requirements. Fuel cells; types, construction, modeling and characteristics, operation theory and interfacing requirement. Distributed generation concept; Barriers to DG interfacing; Reactive power control applications using the DG interfacing; Ancillary services supplied by DG. System protection requirements with DG.
This course covers the following topics in distribution engineering: Load Characteristics and distribution system load forecasting; Distribution system planning; Distribution system automation; Design and application of distribution transformers; Design and optimal operation of sub-transmission lines and distribution systems; Distribution system voltage regulation; Reactive power control for distribution systems; Application of capacitors to distribution systems; Calculation of voltage drops in lateral distribution systems; Calculation of power losses in distribution systems; Introduction to distribution system protection. Background Required - basic knowledge of power system operation and analysis.
Selected topics from theory of solid insulation breakdown. Conduction process in insulating liquids. Hydro dynamic processes. Theories of breakdown due to gaseous inclusion, moisture inclusion and particle contamination. Kinetic theory of gases. Breakdown mechanism in uniform electric fields. Corona and breakdown in non-uniform electric fields. Compressed gas insulation.
Fundamentals of microwave and RF circuit analysis, design and measurements; Generalized transmission line analysis; S-parameters; Coupler and filter design; Diode-detectors, and mixers; Low-noise and power amplifiers, oscillators; Computer aided design of RF circuits.
Overview of optical properties of semiconductors and elements of plane wave propagation, theory and design of light emitting diodes, laser diodes, and detectors, optical spectra and transitions, spontaneous and stimulated emission, population inversion, carrier and optical confinements in heterostructures, quantum-well lasers, optoelectronic detectors, bandgap engineered graded structures, staircase type or superlattice structures for detectors, detailed quantum efficiency calculations and detector noise considerations, Introduction to monolithic integrated circuits.
This course studies the static fields, capacitance and inductance by the following techniques. Classical image technique, variable separation, conformal and Schwarz-Christoffel transformations, the moment method, the optimized-simulated sources method, the variational techniques and the upper and lower bounds.
Mathematics of time varying electromagnetic fields, linear antennas self and mutual impedance, aperture antenna, wave diffraction theory, geometrical theory of diffraction (GTD).
This course introduces the fundamental concepts and the most recent achievements in physical realization of quantum information devices and systems in three platforms; Nuclear Magnetic Resonance (NMR), quantum photonics, and superconducting electric circuits.
The course is introductory and emphasizes the fundamental concepts and engineering applications without a previous exposure to quantum mechanics. Examples and problems are designed to address the applications of the course contents to real problems in electronic, optoelectronic, photonic and superconductive devices.
Analysis of two-dimensional linear systems, Scalar diffraction theory, Fourier transforming properties of lenses, Frequency analysis of optical imaging systems, Spatial filtering and optical information processing, Synthetic Aperture Radar (SAR) - data processing, Wavefront-reconstruction.
An introduction to control theory for linear time-invariant finite-dimensional systems from both the state-space and input-output viewpoints. State-space theory: the concepts of controllability, observability, stabilizability, and detectability; the pole-assignment theorem; observers and dynamic compensation; LQR regulators. Input-output theory: the ring of polynomials and the field of rational functions; the algebra of polynomial and rational matrices; coprime factorization of transfer matrices; Youla parametrization, introduction to optimal control.
Estimation theory, linear and nonlinear regression, numerical techniques for parameter estimation for static and dynamic models, the Kalman filter and extensions, stochastic approximation, empirical dynamic models - especially for linear sampled data systems with stochastic inputs.
Random experiments and measure spaces, stochastic independence, Borel-Cantelli theorem, random variables, Chebyshev inequality, cylinder sets and the Borel sigma-algebra on function spaces, Daniell-Kolmogorov consistency theorem and random processes, separable random processes and Kolmogorov conditions for continuous sample-paths, weak and strong laws of large numbers, conditional expectations, construction of Markov processes especially Brownian motion, sample-path properties of Brownian motion.
This is a course on continuous-parameter state estimation and control for stochastic linear systems. It is based on a single unifying theme, namely that state estimation in linear systems is equivalent to projection onto a closed linear subspace generated by an observation process in a Hilbert space of random variables. This formulation of state estimation leads to the innovations theorem of Kailath, and this in turn has a number of corollaries of considerable practical importance, such as the Kalman-Bucy filtering formulae and the Rauch-Tung-Striebel prediction formulae which are much used for example in problems of inertial guidance and control in aerospace, in stochastic optimal control, and (more recently) in econometrics.
Homogeneous transformations. Kinematics and inverse kinematics. Denavit-Hartenberg convention. Jacobians and velocity transformations. Dynamics. Path planning, nonlinear control. Compliance and force control. [Offered: S]
Equilibrium points, linearization; second order systems; contraction mapping principle; existence and uniqueness of solutions to nonlinear differential equations; periodic solutions; Lyapunov stability; the Lure problem; introduction to input-output stability, introduction to nonlinear control techniques.
Application of formal methods to the verification of computer-based systems. Algebraic and automata preliminaries. Temporal logic and model checking. Decision procedures. Mechanized theorem proving. Advanced topics chosen by the instructor.
As the cost of computing decreases at a phenomenal rate, the use of large format CCD area image sensors increases. Applications of CCD image sensors include industrial such as web inspection, document scanning, manufacturing product inspection for quality and process control, manufacturing product sorting and many other industrial applications. Multimedia and computers increasingly use their CCD image sensors or active pixel CMOS type image sensors. This course will start with the basic theory of CCD image sensors and graduate to CMOS type solid state image sensors. It will concentrate on the state of the art of this field and will deal with the basic device theory, the circuit design and architectures. Photosensitivity, noise, modulation transfer function and other aspects of spatial resolution will be covered. Related Background: E&CE semiconductor and circuit undergraduate courses.
Transduction principles of thermal, radiant, magnetic, mechanical, and chemical microsensors and microactuators, model equations accounting for the various signal interactions, modeling approaches, numerical solution schemes, simulation examples, mixed-signal simulation techniques. Required Background: Knowledge of basic (undergraduate) numerical methods and device physics.
Photodector Diodes and solar cells, photodector structures; transient and high frequency behaviour of diodes, narrow base diodes, P+NN+ and PIN diodes, transient turn-off behaviour of PIN step-recovery diodes, open circuit voltage decay transient, large signal sinusoidal high frequency behaviour; discrete bipolar transistor structures, the microwave power transistor, the silicon controlled rectifier, other three-terminal high voltage switching devices; advanced technology devices, summary of advanced fabrication techniques, polysilicon and double polysilicon structures, experimental structures using polysilicon and etch processes, oxide isolation, schottky transistor logic and the effect of oxide isolation, the P++ extrinsic base region, gallium arsenide and heterojunction bipolar transistors; numerical analysis and CAD models of bipolar transistors.
This course covers the system level design of integrated circuits for wireless transceivers. Specific mixed analog/digital circuits such as: mixers, A/D and D/A converters (Nyquist rate and oversampled) for IF digitizing as well as switched capacitor filters for IF and baseband processing will be studied. Related Background: Basic knowledge of Analog Integrated Circuits.
The separation of models from the simulation engine. The interaction of models and the simulation engine. Basics of a simulation engine. Mathematical tools for modeling. Modeling using modern Analog Hardware Description Languages (AHDLs). AHDL applications to: large circuit simulation, efficient model development/verification, specialized simulators.
Advanced study of software design and architecture; representation of architecture/design; software design methods; patterns in software design; analysis, assessment, verification and quality control for software design; case studies, current research issues and challenges. Related Background: Basic exposure to programming using C or C++, previous graduate or undergraduate course in software specifications, or software engineering should be sufficient.
Models for concurrent programming; data programming; data parallel models for SIMD and MIMD computers; explicit, semiautomatic, and automatic approaches; data parallel compilers; software engineering issues such as program and data partitioning; task mapping and scheduling, concurrent program design, testing and debugging of concurrent programs, performance tuning, etc. Related Background: Basic exposure to programmin using C or Fortran, previous graduate or undergraduate course in operating system or concurrent programming would be helpful.
This course discusses a broad range of techniques in reducing the negative impact of software bugs to improve software reliability and security. Main topics include: fundamental concepts of software reliability and security, software bug detection and diagnosis, software bug tolerance and recovery, and text analytics.
This course covers the concepts and theory required to understand, design, program, and analyze safety-critical software-intensive real-time systems (and how you get the most out of your deadline-constrained life). The course specifically covers the following topics: challenges and problems of modern embedded software, building blocks of embedded systems, software modeling and design, UML, UML/MARTE, the scheduled model, the synchronous model, worst-case execution time analysis, real-time scheduling theory, interrupt handling for real-time systems, safety analysis and argumentation, and system performance measurement and evaluation.
This course concentrates in the numerical techniques used for the study of various stability issues in nonlinear systems characterized by sets of differential equations and algebraic constraints. Lyapunov stability theory is used to investigate in detail regions of attraction and their dynamic manifolds. Local and global bifurcations in nonlinear systems are studied together with the numerical techniques used to detect them. Different mechanisms that lead nonlinear systems to chaotic behaviour are also investigated. All concepts are illustrated using power system examples.
In this course basic concepts on power system analysis, nonlinear programming and optimality conditions are reviewed. Factorization and orthogonal methods for the solution of linear systems and least-square problems are also discussed. Optimization techniques such as linear programming, interior point methods, quadratic and dynamic programming are analyzed in detail. Other topics of study include advanced load-flow methods, sparsity techniques and optimal ordering, power system state estimation, security-constrained economic dispatch, reactive power dispatch, and optimal capacitor allocation.
This course includes topics on distribution system planning, load forcasting, distribution system automation, design of subtransmission lines and distribution substations, design considerations for primary and secondary systems, voltage drops and power-loss calculations, application of capacitors to distribution systems, distribution system voltage regulations, distribution system protection and system reliability.
This course addresses all the dimensions of Power Quality (PQ) issues including mitigation strategies. The focus is mainly on qualitative concepts and comprehensive coverage. This course introduces PQ definitions, limitations, related international standards and mathematical techniques for PQ analysis of Power Systems. Different identification, localization and classification techniques for PQ problems will be investigated. The various kinds of PQ problems and their effects on load/system equipment will be looked at in detail. Mitigation strategies like passive filtering, active and hybrid power filtering, static VAT compensation, DVR, UPQC, etc. will be investigated. Areas covered include voltage sags, interruptions, transients, flickers, harmonics and modeling and simulation of utility systems. Grounding imperfection as a major cause for PQ problems will be addressed in detail. Moreover, the requirements and impacts of distributed generation (DG) on network power quality will be studies in detail. Effects of DG on voltage regulation, relaying losses, islanding and standards will be examined. Background Required - Basic understanding of modeling of power system elements and analysis techniques. Familiarity wit a programming language and/or a simulation package such as EMTDC/PSCAD and MATLAB is desirable.
Adaptive control is an approach used to deal with the unavoidable problem of plant uncertainty. Rather than providing a fixed linear time-invariant controller, this approach yields a controller whoes parameters change with time. This controller typically consists of a linear time-invariant compensator together with a tuning mechanism which adjusts the controller gains; typical control objectives are stabilization and tracking.The bulk of the course will be centered on an identifier based approach. Here one chooses a model for the plant, whose parameters are unknown, and the plant parameters are recursively estimated; controller gains are computed assuming that the present estimate is corrent. We first study algorithms to carry out parameter estimation, we then look at various control laws, and finally these are combined to yield an adaptive controller. Related Background: knowledge of linear system.
Monotone and Dynkin class theorems, introduction to discrete and continuous parameter martingales, stochastic integrals, Ito formula, Girsanov transformation. Held with: STAT 902.
Discuss in detail the basic structure, functional characteristics and protection schemes of the main components that make up a powers system, in particular generators, transformers, transmission lines, cables, loads, HVDC and FACTS controllers. Understand the modelling and simulation of these components for detailed electromagnetic transients analyses, as well as phasor models for power flow and stability studies.
The course will provide a comprehensive overview of power system operations and management, starting with a general understanding of system economics. Many emerging issues in power sector deregulation- such as those in system reliability and system control- shall be discussed within the course. The course will provide a perspective on operations planning models and train the participant to look at technical issues of power system operation simultaneously with the economic aspects. Recommended Background: Basic understanding of power system operation is required. Knowledge of mathematical programming is desirable.
The course addresses all dimensions of Power Quality (PQ) issues including mitigation strategies. The focus is mainly on qualitative concepts and comprehensive coverage. The course introduces PQ definitions, limitations, related international standards and mathematical techniques for PQ analysis of power systems. Different identification, localization and classification techniques for PQ problems will be investigated. The various kinds of PQ problems and their effect on the load/system equipment will be looked at in detail. The mitigation strategies such as passive filtering, active and hybrid power filtering, static VAR compensation, DVR, UPQC, etc. will be investigated. Areas covered include voltage sags, interruptions, transients, flickers, harmonics and modeling and simulation of utility systems. The grounding imperfection as a major cause for PQ problems will be addressed in detail. Moreover, requirements and impact of distributed generation (DG) on network power quality will be studied in detail. Effect of DG on voltage regulation, relaying, losses, islanding and standards will be examined. Recommended Background: Basic understanding of modeling of power system elements and analysis techniques is required. Familiarity with a programming language and/or a simulation package such as EMTDC / PSCAD and MATLAB is desirable.
The main objective of this course is to provide up-to-date knowledge about the technical and economical issues relating to the distribution generation. In addition to an introduction to various generating technologies, a more detailed part will be included discussing various applications of power electronics. The impacts of DG to the distribution system will be presented. The focus will be on electrical issues such as grid connection, protection, control, and power quality. In addition, the economical and regulatory issues will be addressed. Recommended Background: Basic understanding of modeling of power system elements and analysis techniques is required. Familiarity with a programming language and/or a simulation package such as EMTDC/PSCAD and MATLAB is desirable.
Power system protections schemes are designed primarily to minimize the duration of a fault as well as to minimize the number of customers affect by the fault. The scope of this course is to study the main elements and techniques for power system protection. The course is divided into two main parts; protective equipment and protective techniques. In the protective equipment; circuit breakers, relay, enclosures, fuses and isolating switches are discussed. Different protection techniques dedicated to protect feeders, transformers, generators and motors are discussed in the second part of the course. Recommended Background: Basic knowledge in power system engineering is required, basic knowledge in optimization techniques, statistics, and electric circuits.
This course deals with the essential aspects of distribution system engineering, starting with estimation of the loads on the network to the detail design of the distribution system networks. The contents of this course are divided into three categories: Planning, design and operation. In the planning part load forecasting, and planning strategies as well as distribution automation are discussed. The design part includes the design of sub-transmission lines, distribution substations, and primary and secondary systems design considerations. The operation part includes the voltage drop and power loss calculations, voltage regulation and application of capcitor to distribution systems. Recommended Background: Basic knowledge of power systems engineering is required, optimization techniques, statistics and electric circuits.
The course deals in detail with power system operation and control in the deregulated electricity market environment. The topics include electricity market design and auction mechanisms, price formation, role of the independent system operator in pool versus bilateral markets, generation scheduling in deregulation, transmission pricing paradigms, congestion management, transmission rights, ancillary services procurement and pricing, and security management in deregulation. A highlight of the course is the country- specific information provided on various operational aspects of restructured power systems worldwide. Recommended Background: Basic understanding of power system engineering is required. Knowledge of mathematical programming is desirable.
Theory of gases. Photoelectric, thermal and field emission. Ionization by collision, photoionization, thermal ionization and ionization by x-rays and cosmic rays. Deionization becuase of recombination, negative ion formation, and diffusion. Behaviour of charged particles in electric fields of low E/P and high E/P (E=electric field and P=pressure). Breakdown Processes: Townsend mechanism, secondary effect, streamer formation from self sustained discharges to breakdown, breakdown in non-uniform fields, temporal development of breakdown, partial breakdown or corona discharges. Solid and Liquid Dielectrics: Types of solid and liquid insulating materials, their electrical thermal, chemical and mechanical properties; charge transport; surface discharges; breakdown mechanisms; effects of impurities on breakdown strength. Electrohydrodynamics and its influence on breakdown mechanisms in liquids; electromechanical and intrinsic breakdown strength of solids. Recommended Background: Basic knowledge of physics of materials for Electrical Engineers (ECE 209 or equivalent). Familiarity with electrical power system components is useful.
This course deals with generation and measurement aspects of high voltages and industrial applications of high voltage engineering. The first part concentrates on generation of high voltage ac, dc and impluse voltages of both switching and lightning surges. Measurements techniques based on different types of potential dividers and spark gaps for ac, dc, and impulse measurements will be covered. The second part deals with generation and measurements of special types of high voltages needed for industrial applications. The course also covers non-destructive measurements like surface and internal discharges, capacitance and loss factor and some optical techniques. Recommended Background: Basic knowledge of circuit analysis and low voltage measurement techniques is required. Familiarity with electrical power system components is useful.
This course covers a wide range of topics in power electronics including: power semiconductor devices with emphasis on their operating characteristics, power converter topologies for ac-to-dc, dc-to-dc, dc-to-ac and ac-to-ac conversions, multi-converters and multi-level converters, control techniques in power converters, modeling of power converters, applications of power converters, converter design aspects (snubber circuits, gate/base-drive circuits, thermal management, series/parallel combinations of switches), and computer simulation of power electronic systems. Recommended Background: Basic understanding of circuit analysis and control theory is required. Familiarity with electric machinery and power systems is desirable.
This course covers a wide range of topics in electric machines and motor drives including review of power electronic converter topologies, models and control techniques, review of electro-magnetics, dc machine structure, types and principles of operation, dc motor torque/speed characteristic, model, start-up and speed control techniques, synchronous machine structure and principles of operation, synchronous generator synchronization, loading and active and reactive power control, synchronous motor torque/speed characteristic, model, start-up and speed control techniques, induction machine structure and principles of operation, induction motor torque/speed characteristic, model, start-up and speed control techniques, single-phase induction motors, switched-reluctance motor structure, principles of operation and speed control, brushless dc motor structure, principles of operation and speed control, step motor structure, principles of operation and speed/position control, simulation of variable-speed drives, simulation tools, and industrial applications of motor drives. Recommended Background: Basic understanding of circuit analysis, power electronics and control theory.
FACTS controllers are studied in detail from the functional, structural and control points of view. The course concentrates on studying the most common thyristor-controlled FACTS controllers, in particular Static Var Compensators (SVC), Thyristor-Controlled Series Compensators (TCSC) and Thyristor Controlled Voltage and Phase Regulators (TCVR and TCPAR), and voltage-sourced converter controllers, specifically the Static Compensator (STATCOM), Static Synchronous Series Compensator (SSSC) and the Unified Power Flow Controller (UPFC). Detailed and approximate models for various control strategies and practical applications of these controllers are discussed. Recommended Background: Basic understanding of power electronic converters and power systems.
Understand the basic definitions and concepts associated with power systems analysis. Discuss in detail techniques and tools for power system analysis, with a practical perspecitve. The course will cover short circuit power flow, stability concepts including voltage, oscillatory, transcient and frequency stability.
Extensive electricity utilization represents one of the hallmarks of a modern society. In this course, the basic cooncepts related to use of electric energy in various industrial applications and important issues related to such usage will be examined. The course also discusses issues related to economics of energy system usage and the concept of load management. The primary objective of the course is to provide students with the skills to understand the analytical methods and modern tools for solution of problems associated with utilization of electric energy in industrial sectors.
The objective of this course is to expand the knowledge and expertise of practicing engineers in the area of DC/DC converters. The course will focus on the modeling and design of DC/DC converters, including magnetic design and loop design, and their applications in DC motor drives, DC power supplies, power factor correction circuits, photovoltaic stand-alone and grid-connected systems and fuel cell-based stationary and mobile systems.
Grounding of power systems and equipment has great impact on system performance, system equipment integrity, safety of personnel as well as safety of the public at large. It acquires special relevance for distribution systems where grounding directly affects the reliability of supply to the customer, survivability of end-use equipment and safety of individuals. The main objectives of this course are - a) Discuss in detail the basic safety issues for low, medium and high voltage systems, b) Designing a reliable grounding system, c) Discuss the safety management and organizational structure and the human factor that affect electric safety.
The course will discuss in detail the basic concepts of risk assessment and outage models of system components. It will discuss in details the concept of asset management and its main components, application examples about the risk evaluation of transmission lines, generators and substations will be considered.
Vast urbanization and increasing pressure to meet high demand in power delivery have resulted in a significant growth in underground cable network. In addtiion, underground cables being a critical asset group, any outages due to their failure will result in considerable service delivery and economic impact on the operation of distribution networks. Understand the basic dielectric theory, material properties and design details of underground cables and their accessories. Understand typical failure modes and their early detection of underground cable and their accessories. Discuss in detail various off-line and on-line diagnostic tests for condition monitoring of underground cables.