Approaches, techniques and tools for data analysis and knowledge discovery. Introduction to machine learning, data mining, and the knowledge discovery process; data storage including database management systems, data warehousing, and OLAP; testing and verification methodologies; data preprocessing including missing data imputation and discretization; supervised learning including decision trees, Bayesian classification and networks, support vector machines, and ensemble methods; unsupervised learning methods including association mining and clustering; information retrieval.

Introductory and advanced topics in neural networks and connectionist systems. Fast backpropagation techniques including Levenberg-Marquardt and conjugate-gradient algorithms. Regularization theory. Information-theoretic learning, statistical learning, dynamic programming, neurodynamics, complex-valued neural networks.

Representation, processing, and application of knowledge in emerging concepts of Semantic Web: ontology, ontology construction, and ontology integration; propositional, predicate and description logics; rules and reasoning; Semantic Web services; Folksonomy and Social Web; Semantic Web applications.

This course covers high-voltage direct current (HVDC) transmission systems and associated power electronic converter topologies, with substantial attention given to line commutated converter (LCC) and modular multilevel converter (MMC) technologies. Major topics include i) modeling, analysis, operation and control of classical HVDC systems using six-pulse and multi-pulse LCCs, ii) modeling, analysis, operation and control of voltage-sourced converter based HVDC systems, iii) modeling, analysis, operation and control of the MMC for HVDC applications, iv) overview of multiterminal HVDC schemes including HVDC grids, introduction to HVDC line power tapping and Flexible AC Transmission System (FACTS) Controllers.

Analysis of electromagnetic transients in electrical power systems. Computer-aided analysis of electronic circuits. Models of commonly used power system components for time-domain simulation: linear and nonlinear elements, transmission lines, transformers machines, models for the latest power electronic compensators, solution algorithms, analog simulators, real-time digital simulations, architectures and algorithms for parallel and distributed simulators. Transient simulation software.

This course covers: power converter topologies (including DC-DC converters, DC-AC converters, two level and multilevel converters, voltage source converters, current source converters). PWM methods (including Sine PWM, Space Vector PWM, Hysteresis PWM, Selective Harmonic Elimination PWM, and PWM for multilevel converters) and implementation techniques. Wind power systems, PV systems, fuel cell systems and the power converters used in these systems. Operation/control issues of renewable energy systems.

Power circuit topologies and energy conversion principles, Large/small-signal and harmonic models, Current and voltage controls (PI, resonant, predictive, sliding mode, etc.), Energy/power control and management, Grid-synchronization and fault-ride-through techniques, Observer-theory applications, Robust and adaptive control techniques, applications in Distributed Generation (DG), Micro-grids, DSTATCOM, Active Power Filter (APF), HVDC-light, etc.

Sampling and Quantization. Digital transforms for multimedia signal processing: DFT, DCT, DST, K-L transform, principal component analysis, subband analysis, wavelet and multi-resolution representation. Image processing: histogram processing, image filtering and enhancement, halftone and dithering for binary image processing, color transforms, color image processing. Video processing: basic video models, spatial-temporal processing of video, morphing and wipe detection, video segmentation and content analysis. Applications: medical imaging, satellite imaging, seismology.

Chemical structure, nomenclature, crystal structure and electronic structure of organic semiconductors. Charge carriers and charge transport in crystalline organic semiconductors, amorphous small-molecule organic semiconductors and conjugated polymers. Luminescence and energy transfer in organic semiconductors. Device applications including organic field effect transistors, organic light emitting diodes and organic solar cells. Characterization of organic semiconductors and devices.

This course is intended to exercise modeling of electronic devices for high performance applications (Digital, High Frequency Analog and Power Electronics). The basic application of physical device principles will be transformed to functional computational device models for system and circuit design applications. Students will implement a transistor model for a device of their choosing using the device physics and modeling concepts developed here.

Introduction to radio frequency circuit concepts including nonlinearity, noise, dynamic range, scattering parameters, and impedance matching. Review of wireless transceiver architectures and wireless standards. Analysis and design of building blocks of wireless transceivers: low-noise amplifiers, voltage-controlled oscillators, mixers, and power amplifiers.

Overview of Micromachining Technologies, Lumped Modeling and Energy Conserving Transducers, Review of Elasticity and Micromechanical Structures, Case Study : Piezoelectric Pressure Sensors, Case Study : Capacitive Accelerometers, Overview of Microfluidics, Case Study : PCR-on-a-chip systems.

Mathematical preliminaries (probability and linear systems); Conditions of optimality in dynamic systems (minimum principle, HJB equation); Linear quadratic (LQ) control; Minimum-time control; Least-squares estimator; Dynamic estimation; Design of various Kalman filters; Design of linear-quadratic Gaussian (LQG) control. Prerequisites: ECE 560 or equivalent.

Nonlinear geometric control and observer design methods for multi-input nonlinear systems. Differential geometric tools including manifolds, Lie derivatives, Lie brackets, distributions, and the Frobenius Theorem. Conditions for local and global exact and partial state feedback linearization. Output tracking design using input-output state feedback linearization. Local and global nonlinear observer design using exact error linearization. Output feedback control including output feedback linearization and output feedback stabilization based on normal forms. Design methods learnt in this course are implemented on a real physical system.

MIMO control systems. Standard setup. Mathematical preliminaries (singular value decomposition, norms, and function spaces), Stability and performance analysis of MIMO control systems. Stabilization. Controller parameterization. Uncertain systems and uncertainty representations. Stability and performance analysis of uncertain control systems. Linear matrix inequalities (LMIs) and convex optimization. Modern control design: H-2 and H-infinity optimization via LMIs.

Laser systems, beam optics and laser propagation. Interference and interferometers. Laser matter interactions including laser absorption, energy transport and laser ablation mechanisms. Laser applications in microscale engineering, nanoscale engineering, photonics, science and medical science.

Engineering of plasmas for applications in fusion, space, astrophysics, microelectronic processing, plasma-assisted manufacturing and microwave generation. Characterization of the plasma state, charged particle dynamics in electric and magnetic fields, the two-fluid model, magnetohydrodynamic model, linear and nonlinear waves, atomic and collisional processes, transport properties.

Fundamentals of wireless systems, large and small scale propagation effects in mobile radio channels, cochannel interference, diversity and diversity combining techniques, architecture and capacity of TDMA and CDMA cellular systems. Prerequisites: ECE 583 or consent of instructor and an undergraduate level probability course.

This course is concerned with the architecture, protocols, modeling, and evaluation of wireless communication networks in transport of multimedia traffic. Specifically, this course studies queuing theory, traffic modeling, radio resource allocation, call admission control, access control, multiple access, and mobility management in existing and emerging advanced wireless networks.

This course is intended to provide a firm understanding of the physical and theoretical basis of biomedical optics. Both theoretic aspects of light propagation in tissue as well as practical imaging and sensing systems will be discussed. Single and multiple scattering of light is modeled, and light-transport and diffusion equations are developed. Imaging and sensing platforms including various microscopy technologies, optical-coherence tomography systems, and diffuse-imaging methods are analyzed in detail. Selected topics may include photoacoustic imaging, optical dyes and nanoparticle agents, novel emerging microscopy and deep-tissue imaging technologies, and applications to biological and clinical problems. Prerequisite: consent of Instructor.

Acoustics and imaging systems; acoustic wave propagation, refraction, reflection, and scattering. Rayleigh equation; transient and steady-state radiation characteristics of simple structures. Modeling, design, and characterization of transmitting and receiving transducers, including micromachined ultrasound transducers. Imaging systems; accounting for the stochastic nature of ultrasound images, image quality metrics. Selected topics may include nonlinear acoustics, Doppler estimation of blood flow, photoacoustic imaging, and medical applications.

How markets and governments determine which products are produced and how income is distributed in the Canadian economy. Not open to students with credit in ECON 204.

How markets and governments determine which products are produced and how income is distributed in the Canadian economy. Not open to students with credit in ECON 204.

How markets and governments determine which products are produced and how income is distributed in the Canadian economy. Not open to students with credit in ECON 204.

Employment, inflation, international payments, monetary policy, and fiscal policy, all in the Canadian economy. Prerequisite: ECON 101 or consent of Department. Not open to students with credit in ECON 204.

Employment, inflation, international payments, monetary policy, and fiscal policy, all in the Canadian economy. Prerequisite: ECON 101 or consent of Department. Not open to students with credit in ECON 204.

Employment, inflation, international payments, monetary policy, and fiscal policy, all in the Canadian economy. Prerequisite: ECON 101 or consent of Department. Not open to students with credit in ECON 204.

The course will introduce students to basic writing in the economics discipline. The focus is on developing the ability to write clearly on economic concepts, as well as illustrating results of data analysis. Prerequisite: ECON 101.

Content varies from year to year. Topics announced prior to registration period. Prerequisite: ECON 101. Additional prerequisites may be required; consult the Department for further information.

An introduction to economic principles as applied to business organization and finance; price determination; enterprise costs and output optimization; commercial and central banking; national income analysis. For students enrolled in the Faculty of Engineering only. Not open to students with credit in ECON 101 and/or 102.

A survey of the characteristics of and recent developments in the Chinese economy emphasizing the nature and consequences of China's economic reforms and Canada's economic relations with China. Prerequisite: ECON 101 or equivalent.

A survey of the major approaches to and problems of economic development in the less developed countries with particular emphasis on issues relating to savings and investment, income distribution, employment and population growth, and trade and aid. Prerequisite: ECON 101 and 102 or equivalent. Note: Not open to students with credit or enrolled in ECON 414.

Differences in technology and institutions are used to explain why some countries are richer than others; why economic growth rates differ across time and jurisdictions; and causes of convergence/divergence in cross-country growth rates. Prerequisite: ECON 101 or equivalent.

A survey of the evolution, governance, and current state of economic globalization, including trade of goods and services, foreign direct investment, and immigration, with special attention to its relationship to global poverty reduction, inequality, environment, and populism. Prerequisite: ECON 101. Not open to students with credit or enrolled in ECON 323, ECON 421, or ECON 422.

The development of economic thought in social and political context. Major schools of thought from Greek philosophers up to the Marxist, Classical, and Neoclassical doctrines. Prerequisites: ECON 109, ECON 101 and ECON 102.

Analysis of the development of economic thought in the context of the social and political environments in which these doctrines developed. This analysis begins with the rise of Marginalism and the contributions of Alfred Marshall and the Neoclassicalist School. It covers Keynes and the Keynesians, the New Classicalism of Milton Friedman. The course will also examine the work of the Institutionalists such as Galbraith and the work of Walras, Hicks, and others in formalizing economics. Prerequisites: ECON 109, ECON 101 and ECON 102.

Money is more than a means of exchange; its use and misuse has political, psychological, and sociological consequences. This course explores the role of money in human development through time and space. Prerequisites: ECON 101 and 102.

A survey of the issues in Indigenous economies and an introduction to an economics framework for evaluating social policies that address inequality. Prerequisite: ECON 101.

Critical evaluation of the rational choice model of Economics used to explain religious phenomena. Investigation of the demand and supply factors that explain extremism, the distinction between competition and regulation towards curbing religious cults, the role of club theory in explaining rigid rituals, and the impact of religion on economic development. Prerequisite ECON 101.

Principles of behavioural economics and its theories of decision making. The course focuses on economic experiments, including the study of traditional economic assumptions to explain and predict behaviour and to provide policy prescriptions. Prerequisite: ECON 101.

An introduction to the economics of the electricity sector. The course focuses on the pricing of electricity, market structure, renewable energy, electrification, regulation of utilities, and emerging energy technologies. Prerequisite: ECON 101.

Economic growth and the deterioration of the environment; types, causes, theory, policy, and measurement, and current Canadian environmental topics. Prerequisite: ECON 101 or equivalent. Students may not receive credit for both ECON 269 and BUEC 464. Not open to students with credit or enrolled in ECON 467.

An introduction to the theory of games and strategic decision making. Examples include applications in economics and other disciplines. Emphasis is on developing an intuitive understanding of concepts and the ability to apply them in various settings of strategic interaction. Prerequisite: ECON 101. Not open to students with credit in, or enrolled in, ECON 473 or ECON 484.

The theory of consumer behavior; theory of production and cost; price and output determination under competition, monopoly and other market structures. Prerequisite: ECON 101 or equivalent.

Models of price, interest rate, output, and employment determination; the impact of fiscal, monetary, and supply shocks; open economy macroeconomics with fixed and flexible exchange rates, and prices as well as international capital mobility. Prerequisite: ECON 101 and 102 or consent of Department.

Introduction to the use of statistical methods in economics with computer applications. Prerequisites: ECON 101 and 102, STAT 161 or equivalent, and MATH 154 or equivalent.

Content varies from year to year. Topics announced prior to registration period. Prerequisite: ECON 281. Additional prerequisites may be required; consult the department for further information.

A survey of the principles of international economics and the applications to economic policy. Topics include international trade in goods and financial assets, trade policy and exchange rate determination. Prerequisite: ECON 281. Note: Not open to students with credit in or enrolled in ECON 421 or 422.

Introduction to labor economics, supply and demand for labor, labor market equilibrium, human capital investments, compensating wage differentials, inequality, incentive pay, unemployment, and job search. Not open to students with credit in or enrolled in ECON 431. Prerequisite: ECON 281.

Microeconomic approach to personnel economics. Topics covered include selection, recruitment and training of new workers, optimal job design, and optimal compensation design. Prerequisite: ECON 281.

Financial intermediation, commercial banking, central banking, securities markets, and regulation of the banking and financial sectors, the money supply process and monetary control. Prerequisite: ECON 282. Students may not receive credit for both ECON 341 and FIN 414.

Analysis of public sector expenditures in Canada. The rationale for government spending and the problems in the provision of public services. Prerequisite: ECON 281.

Analysis of the Canadian tax structure and its role in attaining certain goals of society; requirements for an optimal tax structure. Prerequisite: ECON 281.

Resource allocation and public policy in health care, including determinants of health status, market structures, incentives and the effects of imperfect information. Prerequisite: ECON 281.

Introduction to experimental methods in economics, with focus on laboratory studies of economic behaviour. Prerequisites: ECON 281 and 299 or equivalent.

Issues in the production of exhaustible and renewable natural resources, including exploration, extraction, and taxation; scarcity and pricing; contemporary Canadian resource policy issues. Prerequisite: ECON 281. Students may not receive credit for both ECON 365 and AREC 365.

The economics of producing and consuming energy: pricing, role in economic growth; energy sources and markets; the role of government; regulation and other energy policy issues. Prerequisite: ECON 281.

A survey of the behavior and performance of firms in different market structures and discussion of public policy toward the different structures. Prerequisite: ECON 281. Note: Not open to students with credit in ECON 471 or 472.

Economic implications of common law: property, contract, and tort; economic logic underlying different doctrines within the law, and illustrations of the law as an economic institution; externality, risk and deterrence, and other leading issues. Prerequisite: ECON 281.

Designed for majors and Honors students in Economics. Extensions and applications of microeconomic theory: intertemporal choice, risk, uncertainty and expected utility; oligopoly and game theory; externalities, public goods, adverse selection, moral hazard, and asymmetric information; general equilibrium. Prerequisites: ECON 281 and 299 or equivalent, and MATH 156 or equivalent.

Designed for majors and Honors students in Economics. Theories of stabilization policy; expectations; the government budget constraint; inflation and unemployment; business cycles and growth; theories of aggregate consumption, investment, money demand, and money supply. Prerequisites: ECON 281, 282 and 299 or equivalent, and MATH 156 or equivalent.

Elements of logic and set theory, linear algebra, differential calculus and their conjunction, as used in classical and modern economic analysis. Prerequisites: ECON 281, and ECON 282 or equivalent, MATH 125 or equivalent, and MATH 156 or equivalent.

Difference and differential equations, linear inequalities, convexity, programming; assorted theorems of special use in modern economic analysis. Prerequisite: ECON 386.

Accessing publicly available macroeconomic data for Canada, the U.S. and many other countries; adapting, visualizing, and communicating macroeconomic statistics through simple plots and tables; organizing, managing and calculating macro statistics; using intuitive models to make sense of the data. Prerequisites: ECON 282 and 299 or equivalent.

An elementary treatment of the major topics in econometrics with emphasis on applied regression methods. Prerequisites: ECON 281, 282 and 299 or equivalent, and MATH 156 or equivalent. Note: Not open to students with credit in AREC 313.

Required for fourth-year honors students choosing the honors essay route. Prerequisite: consent of Department. Only open to students registered in the Economics Honors Essay Route. Credit will not be granted for both ECON 497 and ECON 400.

Content varies from year to year. Topics announced prior to registration period. Prerequisite: ECON 281. Additional prerequisites may be required; consult the department for further information.

This is an applied projects course in which you will be interacting directly with a partner organization in industry, government, or the non-profit sector, with an Economics faculty member to provide guidance and supervision. No in-class meeting pattern; group meetings and advisor meetings will be scheduled throughout the term as needed. Prerequisite: ECON 109 and consent of Department. ECON 399 recommended.

Methods for modeling and forecasting time series data. Topics may include time series regression, forecast evaluation, ARIMA models, seasonality, dynamic regression, vector autoregressions, and conditional heteroskedasticity. Prerequisite: ECON 399 or equivalent.

Analyzes the role of particular markets and institutions in selected Pacific Rim economies. Special emphasis is given to either China or Japan; students should consult the Department of Economics to find which country is being emphasized in a given year. Prerequisite: ECON 281.