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Rensselaer Catalog 2021-2022 [Archived Catalog]
Courses
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ECON 6240 - Advanced Natural Resource Economics
Addresses the allocation of natural resources through applied study of fisheries, forestry, oil, minerals, water, and biodiversity resources. Mathematical analysis will be done using Microsoft Excel with Solver. Social and policy dynamics of allocation decisions will be explored through case studies. Field trips will address ecological and physical aspects of resource management. The intent is to develop a balanced perspective and tools to address resource management decisions across their diverse economic, social, and environmental dimensions.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6270 - Behavioral Economics
Integrates theory from psychology, neuroscience, and other social sciences into traditional economic models of human behavior. By relaxing the standard assumptions of perfect rationality and selfishness, more realistic modeling features such as loss aversion, present-bias, social norms, and habit formation improve economic analyses. These techniques are used to analyze individuals’ health behaviors, health insurance markets, and healthcare policy.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 4270.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6280 - Econometric Methods for Big Data
Examine advanced econometric and statistical methods for the analysis of high-dimensional data, otherwise known as “Big Data.” In this setting, detailed information for each unit of observation informs machine learning techniques such as classification and regression trees; rECandom forests; penalized regressions; and boosted estimation. These prediction methods are then utilized to improve causal modeling, with applications in the study of healthcare demand and supply modeling, and behavior of consumers and businesses.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 4280.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6290 - Economics of Biotech and Medical Innovations
Students will learn about markets related to healthcare, insurance, biopharmaceuticals, and medical devices. Examine economic issues, models and quantitative analysis related to firms’ activities in areas such as innovation, R&D expenditures, patenting, pricing, mergers and acquisitions, and competition in markets. Examine the role played by health insurance systems. Study the economic implications of regulations, such as those by the U.S. FDA. Economic and policy aspects will be examined within the context of the U.S. healthcare sector, along with selected comparisons to European national healthcare systems.
When Offered: Spring term annually.
Cross Listed: ECON 4290.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6320 - Economic Models of Decision-Making
An exploration of models of decision-making under alternative assumptions, expanding on “rational” models of introductory economics. The course will discuss the assumptions of these standard models and their shortcomings. The shortcomings will be addressed through exploration of limited attention and considerations of fairness, uncertainty, and strategic interaction. Applications in areas such as consumer and household finance, marketing, and public policy will be emphasized throughout.
When Offered: Fall and spring terms annually
Cross Listed: ECON 4320
Credit Hours: 3
Credit Hours: 3 |
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ECON 6340 - Behavioral Financial Economics
This course describes how individuals and firms make financial decisions, and how those decisions might deviate from those predicted by traditional financial or economic theory. The course examines how the insights of behavioral economics complement the traditional finance paradigm by introducing some of the main psychological biases in financial decision-making and examining the impacts of these biases in financial markets and other financial settings. It will also introduce students to behavioral and experimental methodologies in finance, economics, and other disciplines.
When Offered: Fall and spring terms annually.
Cross Listed: ECON 4340.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6350 - Microeconomics of Decision-Making
This course will examine alternative models of economic and non-economic decision-making. The course will cover models of rational decision-making under certainty and uncertainty, bounded rationality, preference-based approaches (e.g., loss aversion, ambiguity aversion, disappointment aversion), and heuristic decision-making. The emphasis throughout will be on the proper interpretation of more general models of decision-making as well as real-world applications.
Cross Listed: ECON 4350.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6360 - Experimental Economics
This course explores human motivation and behavior across different settings and experimental paradigms. The course familiarizes students with previous work in selected topics in behavioral and experimental economics such as charitable giving, individual decision making and preferences, health, scarcity, and worker motivation. It also prepares students to design, implement and analyze their own economics experiments.
When Offered: Spring term annually.
Cross Listed: ECON 4360.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6490 - Introduction to Economic Theory
The course examines the basic concepts and techniques of economic analysis and their applications to economics problems at the level of the firm, industry, and economy as a whole. Topics include theory of product and factor pricing, national income and employment theory, monetary and fiscal theories, economic growth and fluctuations.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6550 - Microeconomics I
The central propositions of contemporary economic analysis are discussed. Topics include individual decision-making, consumption, production, the interaction of firms and households, competitive equilibrium, general equilibrium theory, welfare theorems, externalities, uncertainty, and the implications for economic policy.
Prerequisites/Corequisites: Ph.D. student status or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6580 - Topics in Applied Econometrics
Applications of advanced econometric techniques such as two-and three-stage least squares, maximum likelihood, seemingly unrelated regression, full information likelihood, distributed lags, and autocorrelation correction to a variety of business and economic problems, including the capital asset pricing model, learning curve, economies of scale, hedonic price indexes, investment, production, and limited dependent variable models.
Prerequisites/Corequisites: Permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6590 - Advanced Macroeconomic Analysis
This course examines theory of national income determination, the role of monetary and nonmonetary factors in this economic system as described by various schools of macroeconomics. Alternative perspectives on monetary and fiscal policies are critically examined.
Prerequisites/Corequisites: Prerequisite: ECON 2020 or ECON 6490 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6720 - Microeconomics II
Topics include market power, adverse selection, moral hazard, signaling, screening, mechanism design, externalities, public goods, information economics, and principal-agent problems. Implications for economic policy are also considered.
Prerequisites/Corequisites: Permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6730 - Econometrics I
Theoretical treatment of economic statistics. Topics include a rigorous treatment of set theory and fundamentals of probability theory, statistical estimation and hypothesis testing, analysis of variance, and regression. Also includes advanced topics such as maximum likelihood, generalized method of moments, empirical likelihood, and bootstrap, as well as finite-sample analysis and large-sample asymptotics.
Prerequisites/Corequisites: Ph.D. student status or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6740 - Econometrics II
Statistical methods are developed for classic linear and non-linear regression analysis. Econometric tools such as instrumental variables, regression discontinuity, and difference-in-differences are emphasized for causal identification. Extensions are made to new topics such as simulation-based methods including bootstrap, nonparametric and semiparametricestimators, and quantileregression methods.
Prerequisites/Corequisites: ECON 6730 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6750 - Economic Data Analytics and Modeling I
Develops econometric models for causal inference using tools for big data. Machine learning and other resource-intensive modeling techniques are integrated into traditional economic approaches. Also covers procedures for the development, processing, and combination of novel data sources; methods to process extremely large datasets; data exploration and development tools; nonparametric methods. Economics applications are considered throughout.
Prerequisites/Corequisites: ECON 6740 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6760 - Economic Data Analytics and Modeling II
Covers advanced topics in the theory and application of econometrics and data modeling. Topics emphasized include causal identification, advanced instrumental variable models, dynamic models, panel data models, model selection, simulation-based inference methods, survival analysis models, censoring, quantile regression, non-linear models, and discrete choice models.
Prerequisites/Corequisites: ECON 6740 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6770 - Economics of Innovation I
Core issues in the economics of technology and innovation are covered along with policy ramifications. Topics include models of strategic R&D and patenting, quality and price measures, drivers of innovation in firms and fields of knowledge, technology adoption and diffusion, and regional innovation.
Prerequisites/Corequisites: Ph.D. student status or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6780 - Economics of Innovation II
Analyzes theories and findings on how regional and national economic growth relates to innovation. Contrasting theories and empirical evidence regarding agglomeration impacts on innovation, local effects of universities and government laboratories, employment, and trade flows. Regional impacts of corporations, entrepreneurship, labor force, education, and policy.
Prerequisites/Corequisites: ECON 6770 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6800 - Behavioral and Experimental Economics I
Study economic behavior as it departs from perfectly rational, complete-information models. This course presents the main theories and findings from the behavioral economics literature as they relate to individuals’ choices over time, risk, and uncertainty. Additional topics include individuals’ use of decision heuristics and models of social preferences, such as altruism, fairness, reciprocity, and inequality aversion. Experimental methods are developed.
Prerequisites/Corequisites: ECON 6720 and ECON 6740 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6810 - Behavioral and Experimental Economics II
This course expands on material covered in Behavioral Economics I by studying the latest and more advanced modeling and experimental approaches for individuals’ decision-making and empirical applications. Specific advanced topics include the role of habit formation on intertemporal choice and limited attention models for complex decisions. The course will additionally cover recent literature and findings from cognitive and computational psychology.
Prerequisites/Corequisites: ECON 6800.
When Offered: Spring term annually.
Cross Listed: .
Credit Hours: 3
Credit Hours: 3 |
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ECON 6820 - Health Economics and Policy I
Study the economic theory of health and health care, and its applications. Topics include the measurement and determinants of health; economics of uncertainty, adverse selection, and moral hazard; economic models of demand for healthcare and demand for insurance; key markets in the healthcare sector such as physicians, hospitals, and insurance companies; policy effects on the matching between health care demand and supply; and political economy and organizational reform in medical care.
Prerequisites/Corequisites: ECON 6720 and ECON 6740 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6830 - Health Economics and Policy II
Study topics such as markets for pharmaceuticals, medical devices, medical technology, and health innovation; FDA and other types of regulations in pharmaceuticals and medical devices; models of hospital competition and provider incentives; health information technologies and their adoption and diffusion; advances in personalized healthcare; and externalities in health.
Prerequisites/Corequisites: ECON 6820.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6840 - International Economics and Development I
Study classical models of international trade that consider factor endowments, comparative advantage, labor capabilities, strategic use of trade barriers, and multilateral trade agreements. Examine contemporary models which explore increasing returns, heterogeneity in firm productivity and products, product mix, firm size distributions, globalization, multinationals, and offshoring.
Prerequisites/Corequisites: ECON 6720 and ECON 6740 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6850 - International Economics and Development II
Covers topics such as the impact of foreign trade and investment on labor markets, job creation and destruction, income inequality, production location and agglomeration, international technology transfer, and regional economic development.
Prerequisites/Corequisites: ECON 6840.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6860 - Energy and Environmental Economics I
Covers the economics of conventional and alternative energy sources. Topics in energy economics such as the demand for energy, supply of energy, evolving alternative energy sources, consumption, efficiency, adoption, and diffusion of new energy technologies, externalities, and the economics of climate change. The course will examine environmental impacts and their analysis, and introduce models and methods of analysis including cost-benefit analysis, discounting, the value of a statistical life, and health as human capital.
Prerequisites/Corequisites: ECON 6720 and ECON 6740 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6870 - Energy and Environmental Economics II
Study environmental economics and its relation to energy systems. Analyzes environmental externalities and regulatory solutions through theoretical models and empirical evidence. Study government responses related to regulations, taxes, and subsidies to address problems of market failure, and tools to evaluate the costs and benefits of environmental policies. Examine optimal environmental regulations and the trade-offs between market and regulatory imperfections. Methods are developed with applications to topics including health and climate impacts of emissions and their regulatory policies.
Prerequisites/Corequisites: ECON 6860.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6940 - Readings in Economics
Credit Hours: 3
Credit Hours: 3 |
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ECON 6960 - Topics in Economic Theory
Selected topics in economic analysis and problems to meet the special needs of graduate students in various curricula throughout the Institute. This allows students to pursue more in-depth work in their areas of study.
Prerequisites/Corequisites: Prerequisites: ECON 2010 and permission of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECON 6970 - Professional Project
Active participation in a semester-long project, under the supervision of a faculty adviser. A Professional Project often serves as a culminating experience for a Professional Master’s program but, with departmental or school approval, can be used to fulfill other program requirements. With approval, students may register for more than one Professional Project. Professional Projects must result in documentation established by each department or school, but are not submitted to the Office of Graduate Education and are not archived in the library. Grades of A,B,C, or F are assigned by the faculty adviser at the end of the semester. If not completed on time, a formal Incomplete grade may be assigned by the faculty adviser, listing the work remaining to be completed and the time limit for completing this work.
Credit Hours: |
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ECON 6990 - Master’s Thesis
Active participation in research, under the supervision of a faculty adviser, leading to a master’s thesis. Grades of S or U are assigned by the adviser each term to reflect the student’s research progress for the given semester. Once the thesis has been presented, approved by the adviser, and accepted by the Office of Graduate Education, it will be archived in a standard format in the library.
Credit Hours: 1 to 9
Credit Hours: 1 to 9 |
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ECON 9990 - Dissertation
Active participation in research, under the supervision of a faculty adviser, leading to a doctoral dissertation. Grades of IP are assigned until the dissertation has been publicly defended, approved by the doctoral committee, and accepted by the Office of Graduate Education to be archived in a standard format in the library. Grades will then be listed as S.
Credit Hours: Up to 30
Credit Hours: Up to 30 |
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ECSE 1010 - Introduction to Electrical, Computer, and Systems Engineering
An experiment-centric development of the basic analysis tools of Electrical, Computer, and Systems Engineering, emphasizing the concepts and mathematics of analog and digital circuits and electronics, programming, data generation and analysis, and system model development using paper and pencil analysis, simulation, and experiment. Problems, applications, and projects are chosen to lay a solid foundation for core EE and CSE courses.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 1 |
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ECSE 2010 - Electric Circuits
Techniques for the analysis and simulation of linear electric circuits and measurements of their properties. Topics include resistive and energy-storage elements, controlled sources and operational amplifiers, systematic analysis methods, AC steady state, power and three-phase systems, magnetic coupling and transformers, transients, s-plane representation and analysis, frequency response, and Laplace transform and computer-aided methods.
Prerequisites/Corequisites: Prerequisites: MATH 2400.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6 contact hours
Credit Hours: 4 |
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ECSE 2050 - Introduction to Electronics
The physics and operation of semiconductor diodes, bipolar junction transistors, and field-effect transistors in elementary analog circuits. Non-ideal operational amplifier characteristics. Amplifier biasing, small-signal analysis, and frequency response. Elementary bipolar and MOSFET digital circuits.
Prerequisites/Corequisites: Prerequisite: ECSE 2010 and (PHYS 1200 or PHYS 1250).
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6 contact hours
Credit Hours: 4 |
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ECSE 2100 - Fields and Waves I
Development and application of Maxwell’s equations in free space and within materials. Introduction to vector calculus and computer-aided analysis and design methods in electromagnetics. Applications include calculation of lumped circuit elements from field theory, plane wave propagation in various materials, and reflection from boundaries. Transmission line concepts, Smith charts, and other design tools for distributed circuits.
Prerequisites/Corequisites: Prerequisites: ECSE 2010 and MATH 2010 and (PHYS 1200 or PHYS 1250).
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6 contact hours
Credit Hours: 4 |
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ECSE 2110 - Electrical Energy Systems
This course introduces the major components of today’s power system such as transformers, electric machines, and transmission lines. Renewable energy sources and systems are discussed, including wind and solar energy. Integration of energy sources with the grid is addressed.
Prerequisites/Corequisites: Prerequisite: ECSE 2010 and PHYS 1200.
When Offered: Fall, spring, and summer terms annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 2210 - Microelectronics Technology
An introductory survey of microelectronics technology emphasizing physical properties of semiconductors, device and circuit fabrication, semiconductor device operation. Topics include semiconductor crystals; energy bands; electrons and holes; dopant impurities; fabrication and operation of diodes, bipolar junction transistors, and field-effect transistors.
Prerequisites/Corequisites: Prerequisites: ECSE 2010 and (PHYS 1200 or PHYS 1250).
When Offered: Fall and spring terms annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 4
Credit Hours: 3 |
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Credit Hours: 3 |
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ECSE 2500 - Engineering Probability
Axioms of probability, joint and conditional probability, random variables, probability density, mass, and distribution functions, functions of one and two random variables, characteristic functions, sequences of independent random variables, central limit theorem, and laws of large numbers. Applications to electrical and computer engineering problems.
Prerequisites/Corequisites: Prerequisite: MATH 2400.
When Offered: Fall and spring terms annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 2610 - Computer Components and Operations
Design-oriented introduction to computer components and operations. Standard codes, number systems, base conversions, and computer arithmetic. Boolean algebra, minimization and synthesis techniques for combinational and sequential logic. Races, hazards, and asynchronous behavior. Registers, arithmetic logic units, memory structure, buses, and control units. Machine language programming, instruction fetch and execution, input-output devices, interrupts, and microprogram sequencers. Software and hardware tools.
Prerequisites/Corequisites: Prerequisite: CSCI 1100.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6 contact hours
Credit Hours: 4 |
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ECSE 2660 - Computer Architecture, Networks, and Operating Systems
Quantitative basis of modern computer architecture, processor design, memory hierarchy, and input/output methods. Layered operating system structures, process and storage management. Layered network organization, network protocols, switching, local and wide area networks. Examples from Unix and the Internet.
Prerequisites/Corequisites: Prerequisite: ECSE 2610.
When Offered: Fall, spring and summer terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 6 contact hours
Credit Hours: 4 |
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ECSE 2900 - ECSE Enrichment Seminar
This seminar course addresses a range of issues involving engineering and public policy, innovation systems and economic development, and the National Academy’s Engineering Grand Challenges for the 21st Century.
When Offered: Fall and spring terms annually.
Credit Hours: 1
Credit Hours: 1 |
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ECSE 4030 - Analog IC Design
The modeling, analysis, and design of analog integrated circuits using CMOS technology. Topics include basic integrated circuit components, basic amplifier stages, operational amplifiers, frequency compensation and stability, and bandgap references. Emphasis is placed on the design of the fundamental circuits required for analog signal processing. Students undertake several design projects, including a sizeable project that comprises a significant percentage of the final grade.
Prerequisites/Corequisites: Prerequisite: ECSE 2050.
When Offered: Spring term annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 3
Credit Hours: 3 |
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ECSE 4040 - Digital Electronics
Analysis and design of switching-mode circuits: NMOS, CMOS, RTL, DTL, TTL, and ECL digital-logic families. Topics include: basic logic gates (voltage-transfer characteristics, noise margin, fan out, propagation delay, power dissipation), flip flops, Schmitt triggers, oscillators, timers, memories, A/D and D/A converters, and optional advanced topics.
Prerequisites/Corequisites: Prerequisites: ECSE 2050 and ECSE 2610.
When Offered: Spring term annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 5 contact hours
Credit Hours: 3 |
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ECSE 4050 - Advanced Electronic Circuits
Linear and non-linear applications of operational amplifiers, with an emphasis on circuit design. Non-ideal operational amplifier behavior, including both static and dynamic characteristics. Amplifier stability and frequency compensation techniques. Operational amplifier-based oscillators. Circuit noise.
Prerequisites/Corequisites: Prerequisite: ECSE 2050.
When Offered: Spring term annually.
Cross Listed: Cross listed as ECSE 6050. Students cannot receive credit for both this course and ECSE 6050.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4080 - Semiconductor Power Electronics
The application of power semiconductor devices to the efficient conversion of electrical energy. Circuit analysis, signal analysis, and energy concepts are integrated to develop steady-state and dynamic models of generic power converters. Specific topics include AC/DC conversion, DC/DC conversion, DC/AC conversion, and AC/AC conversion. These generic converters are applied as controlled rectifiers, switching power supplies, motor drives, HVDC transmission, induction heating, and others. Ancillary circuits needed for the proper operation and control of power semiconductor devices are also discussed.
Prerequisites/Corequisites: Prerequisite: ECSE 2050.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4090 - Mechatronics
The synergistic combination of mechanical engineering, electronics, control engineering, and computer science in the design process. The key areas of mechatronics studied in depth are control sensors and actuators, interfacing sensors and actuators to a microcomputer, discrete controller design, and real-time programming for control using the C programming language. The unifying theme for this heavily laboratory-based course is the integration of the key areas into a successful mechatronic design.
Prerequisites/Corequisites: Prerequisites: ENGR 2350, ECSE 2410, and senior standing.
When Offered: Fall term annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 5 contact hours
Credit Hours: 3 |
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Credit Hours: 3 |
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ECSE 4120 - Electromechanics
This course studies electromechanical interactions in lumped-parameter systems. These interactions describe the operation of electric machines, electromechanical actuators, and transducers. The fundamental laws of Faraday, Ampere, and Gauss are considered to develop physical models of magnetic circuits, including those which use permanent magnets. These models are then expanded to include equations of motion and the thermodynamics of electromechanical coupling. Applications include transformers, induction machines, synchronous machines, DC machines, and reluctance machines.
Prerequisites/Corequisites: Prerequisite: ECSE 2110.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4130 - EPE Laboratory
A laboratory based examination of static and rotating energy conversion equipment. Topics include the experimental study of the physical phenomena and characteristics of magnetic circuits, transformers, electric machines, rectifiers, DC/DC converters, and inverters. The interaction between static power converters and electric machines is emphasized.
Prerequisites/Corequisites: Prerequisite: ECSE 4080 or ECSE 4110 or ECSE 4120 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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ECSE 4170 - Modeling and Simulation for Cyber-Physical Systems
Modeling and simulation of cyber-physical systems through object-oriented equation-based computer languages and software tools. Describes formalisms for continuous, discrete, timed-clocked synchronous systems and finite state machines; and applies simulation methods through numerical solution of differential-and-algebraic higher-and-varying index systems of equations with time and state event event handling. Composing reusable model architectures, templates, interfaces and data management for model variants. Applies model deployment in heterogeneous environments using model exchange, co-simulation and real-time simulation techniques. Co-listed: ECSE 4170 and ECSE 6170. Students cannot obtain credit for both this course and the co-listed course.
Prerequisites/Corequisites: Prerequisites: MATH 2010 and MATH 2400.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4180 - Industrial Power System Design
Industrial power system design considerations: planning (safety, reliability, simplicity, maintenance, flexibility, cost), voltages (control, selection, effects of variation), protection (devices, limitations, requirements, coordination, testing), fault calculations, grounding (static and lightning protection, earth connections), power factor control and effects, switching and voltage transformation, instruments and meters, cable construction and installation, busways.
Prerequisites/Corequisites: Prerequisite: ECSE 2110.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4220 - VLSI Design
Introduction to VLSI design. The fabrication, device, circuit, and system aspects of VLSI design are covered in an integrated fashion. Emphasis is placed on NMOS and CMOS technology. Laboratory experiments focus on layout analysis, computer-aided layout, and logic and timing simulation. Project on digital design with standard cells.
Prerequisites/Corequisites: Prerequisites: ECSE 2050 and ECSE 2610; ECSE 2210 recommended.
When Offered: Fall and spring terms annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 4 contact hours
Credit Hours: 3 |
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ECSE 4250 - Integrated Circuit Processes and Design
The theoretical and practical aspects of techniques utilized in the fabrication of silicon-based microcircuits. Imperfections in semiconductors, crystal growth, solid solubility, alloying and diffusion, ion implantation, oxide masking, epitaxy, metallization, etching, and photolithography. Fabrication techniques for bipolar and MOS-microcircuits, and the electrical performance of devices based on these techniques. Microcircuit design and layout. Students cannot receive credit for both this course and MTLE 4160.
Prerequisites/Corequisites: Prerequisite: ECSE 2210.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4370 - Introduction to Optoelectronics Technology
The nature of optics, physics, and operation principles of optoelectronic devices and systems for communication, display, lighting, and computing. Topics include optics fundamentals, waveguide and fibers, LEDs, laser diode, photodetectors, solar cells, liquid crystal devices, modulators, optical display, and light detection and ranging (LiDAR) systems.
Prerequisites/Corequisites: Prerequisite: ECSE 2210.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4380 - Fundamentals of Solid State Lighting Systems
The design and operation of Solid State Lighting Systems including basic design and fabrication methods of light emitting diode (LED), LED thermal management, optical characterization of lighting, LED drivers, lighting sensors/control systems and selected emerging applications.
Prerequisites/Corequisites: Prerequisite: (PHYS 1200 or PHYS 1250) and (ECSE 2050 or permission of instructor).
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4440 - Control Systems Engineering
Application of linear feedback theory to the design of large-scale, integrated control systems. Derivation of complex mathematical models of physical systems. Synthesis of appropriate control laws to provide stability. Simulation of complex control systems on digital computers.
Prerequisites/Corequisites: Prerequisite: ECSE 2410 or MANE 4050 or MANE 4500; knowledge of MATLAB.
When Offered: Fall term annually.
Cross Listed: Cross listed as MANE 4530; students cannot receive credit for both this course and MANE 4530.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4480 - Robotics I
A survey of the fundamental issues necessary for the design, analysis, control, and implementation of robotic systems. The mathematical description of robot manipulators in terms of kinematics and dynamics. Hardware components of a typical robot arm. Path following, control, and sensing. Examples of several currently available manipulators.
Prerequisites/Corequisites: Prerequisites: MATH 2400 and MATH 2010 and knowledge of MATLAB and Python.
When Offered: Fall term annually.
Cross Listed: Cross listed as ECSE 6470, CSCI 4480, MANE 4560, and MANE 6120. Students cannot receive credit for both this course and ECSE 6470, CSCI 4480, MANE 4560, or MANE 6120.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4490 - Robotics II
This course introduces methods that leverage the basic analysis techniques learned in Robotics I to develop numerical and algorithmic techniques needed to endow robots with the “intelligence” to devise strategies to solve problems they will encounter. Once these abilities are sufficiently well developed, robots will become safe and autonomous, thus paving the way for pervasive personal robots. Topics include: configuration space representation, cell decomposition, roadmap methods, rapidly-exploring random trees, simultaneous localization and mapping, contact modeling, grasping, and dexterous manipulation.
Prerequisites/Corequisites: Prerequisite: ECSE 4480 or CSCI 4480.
When Offered: Spring term annually.
Cross Listed: Cross listed as ECSE 6490, CSCI 4490 and CSCI 6490. Students cannot receive credit for both this course and ECSE 6490, CSCI 4490, or CSCI 6490.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4500 - Distributed Systems and Sensor Networks
Recent developments in systems, sensors, communications, and networking technologies enable the development of large-scale distributed systems incorporating many individual nodes. This course takes an algorithmic approach to distributed systems for sensor fusion, localization and tracking, distributed robotics and sensor-based control. It also presents the basic principles of sensor node architectures and wireless sensor networks. Applications include environmental monitoring, biomedical systems, and security-related tracking problems.
Prerequisites/Corequisites: Prerequisite: ECSE 2410.
When Offered: Fall term annually.
Cross Listed: ECSE 6500. Students cannot receive credit for both this course and ECSE 6500.
Credit Hours: 3
Contact, Lecture or Lab Hours: 3
Credit Hours: 3 |
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ECSE 4510 - Digital Control Systems
Sampling, quantization, and reconstruction of signals. Mathematical tools used in the modeling, analysis, and synthesis of discrete-time control systems. Analysis tools include z-transforms, difference equation solutions, state variables, and transfer function techniques. Design tools digital PID controller, root locus, bilinear transformations, compensation techniques and full-state feedback. Applications to sampled-data control.
Prerequisites/Corequisites: Prerequisite: ECSE 2410 or MANE 4050 or MANE 4500.
When Offered: Spring term annually.
Cross Listed: MANE 4540; students cannot receive credit for both this course and MANE 4540.
Credit Hours: 3
Credit Hours: 3 |
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Credit Hours: 3 |
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ECSE 4530 - Digital Signal Processing
This course provides a comprehensive treatment of the theory, design, and implementation of digital signal processing algorithms. The first half of the course emphasizes frequency-domain and Z-transform analysis. The second half of the course investigates advanced topics in signal processing, including FFT algorithms, multi-rate signal processing, filter design, adaptive filtering, and quantizer design. The course provides a strong theoretical foundation for future study in communications, control, or image processing.
Prerequisites/Corequisites: Prerequisites: ECSE 2410 and ECSE 2500. Also MATH 2010 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4540 - Introduction to Image Processing
An introduction to the field of image processing, covering both analytical and implementation aspects. Topics include the human visual system, cameras and image formation, image sampling and quantization, spatial- and frequency-domain image enhancement, filter design, image restoration, image coding and compression, morphological image processing, color image processing, image segmentation, and image reconstruction. Real-world examples and assignments drawn from consumer digital imaging, security and surveillance, and medical image processing.
Prerequisites/Corequisites: Prerequisite: ECSE 4530 and MATH 2010 or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4560 - Digital Communications
An introduction to digital communications, including signal generation, signal detection, synchronization, channel modeling, and coding. Baseband pulse modulation. Signal space representation of signals and optimal receiver structures. Bandpass modulation techniques including PSK, QAM and FSK. Carrier, symbol, and frame synchronization. Channel characterization and modeling, including terrestrial channels. Error control coding.
Prerequisites/Corequisites: Prerequisites: ECSE 4520.
When Offered: Spring term annually.
Cross Listed: ECSE 6560. Students cannot receive credit for both this course and ECSE 6560.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4620 - Computer Vision for Visual Effects
This course describes the computer vision problems that underlie modern visual effects in movies, in which original video footage is transformed or augmented to create fantastic, yet plausible environments. The course provides a critical overview of the important literature for several problem categories, describing “under-the-hood” concepts and algorithms in mathematical detail. In many cases, the relevant academic research is only a few years old and has only recently been applied to movies, TV shows, and commercials.
Prerequisites/Corequisites: Prerequisites: MATH 2010, CSCI 1200, and some familiarity with digital image editing tools or techniques.
When Offered: Fall term odd-numbered years.
Cross Listed: Cross listed as ECSE 6620. Students cannot receive credit for both this course and ECSE 6620.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4630 - Lasers and Optical Systems
Optical physics and applications of lasers. Design of optical systems. Topics include: wave optics and beam propagation, Gaussian beams, resonators, optical properties of atoms and laser gain media, laser amplifiers, pulsed laser systems, applications of lasers, nonlinear optics.
Prerequisites/Corequisites: Prerequisite: PHYS 2620 recommended.
When Offered: Spring term odd-numbered years.
Cross Listed: Students cannot receive credit for both this course and PHYS 4630.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4640 - Optical Communications and Integrated Optics
Phenomena, materials, and devices for optical communications and computing. Topics include: guided wave and fiber optics, integrated optics, electro-optic and nonlinear optical switching, pulse and soliton propagation, sources, and detectors.
Prerequisites/Corequisites: Prerequisite: PHYS 2620.
When Offered: Fall term even-numbered years.
Cross Listed: PHYS 4640. Students cannot receive credit for both this course and PHYS 4640.
Credit Hours: 4
Contact, Lecture or Lab Hours: 3 lecture hours and 3 laboratory hours per week.
Credit Hours: 4 |
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ECSE 4660 - Internetworking of Things
In-depth hands-on study of the technologies and protocols involved in building the Internet-of-Things (IoT), with specific focus on networking at the edge of the Internet. Topics include wireless communication and link layer technologies, multi-access and scheduling mechanisms, mobility models, routing in disconnected networks, energy-efficient edge networking, loss tolerant transport protocols, IoT security, data aggregation, and their applications to emerging areas such as vehicular networks, RFID systems and smart buildings. Co-listed: ECSE 4660 and ECSE 6660. Students cannot obtain credit for both this course and the co-listed course.
Prerequisites/Corequisites: Prerequisite: ECSE 2660 or CSCI 2500 or equivalent or permission of instructor.
When Offered: Spring term annually
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4670 - Computer Communication Networks
Introduction to the basic concepts of computer and communication networks, like flow control, congestion control, end-to-end reliability, routing, framing, error-recovery, multiple access, and statistical multiplexing. In-depth presentation of the different networking layers, with emphasis on the Internet reference model. Protocols and architectures such as TCP, IP, Ethernet, wireless networks, etc. are described in order to illustrate important networking concepts. Introduction to quantitative analysis and modeling of networks.
Prerequisites/Corequisites: Prerequisites: ECSE 2610 and basic probability such as in ENGR 2600 or ECSE 2500.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4720 - Solid-State Physics
An introduction to theoretical and experimental solid-state physics. Wave mechanics in the perfect crystal. X-rays, electrons, and phonons. Electrical properties of metals and semiconductors. Qualitative treatment of lattice defects.
Prerequisites/Corequisites: Prerequisite: PHYS 2220 or equivalent.
When Offered: Fall term annually.
Cross Listed: PHYS 4720. Students cannot receive credit for both this course and PHYS 4720.
Credit Hours: 4
Credit Hours: 4 |
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ECSE 4740 - Applied Parallel Computing for Engineers
Engineering techniques for parallel processing. Knowledge and hands-on experience in developing applications software for processors on inexpensive widely-available computers with massively parallel computing resources. Multi-thread shared memory programming with OpenMP and NVIDIA GPU multicore programming with CUDA and Thrust. The use of NVIDIA gaming and graphics cards on current laptops and desktops for general purpose parallel computing using Linux.
Prerequisites/Corequisites: Prerequisite: ECSE 2660 or equivalent, knowledge of C++.
When Offered: Spring term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4750 - Computer Graphics
Introduction to Interactive Computer Graphics, with an emphasis on applications programming. Objects and viewers, and the synthetic camera model. Graphics architectures, the graphics pipeline, clipping, rasterization, and programmable shaders. Input and interaction. Geometric objects, homogeneous coordinates, and transformations. Viewing, hidden surface removal, frame and depth buffers, compositing, and anti-aliasing. Shading, light and materials, texture mapping, ray tracing, and radiosity. Intellectual property concerns. Extensive programming with the OpenGL API and C++.
Prerequisites/Corequisites: Prerequisite: ECSE 2610 or CSCI 2500 or equivalent.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4760 - Real-Time Applications in Control and Communications
Experiments and lectures demonstrate the design and use of microcomputers as both decision tools and on-line real-time system components in control and communications. Topics include the basic operations of microcomputers, data I/O, analog and digital process control, voice processing, digital filter design, digital communication, and optimal LQR control.
Prerequisites/Corequisites: Prerequisites: ECSE 4440 or ECSE 4520.
When Offered: Spring term annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 5 contact hours
Credit Hours: 3 |
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ECSE 4770 - Computer Hardware Design
Digital design methodologies including timing chain and counter based “hardwired” microprogram design, modules, and modular design. The course bridges LSI and MSI design treating microprocessors, and I/O interfacing. Bus protocol standards, interrupts, direct memory access, priority arbitration, asynchronous timing, and overlap or double buffering. Specific examples of design include controllers for disks, cassettes, video systems, and stepping motors. Course includes a laboratory with access to FPGAs and microprocessors.
Prerequisites/Corequisites: Prerequisite: ECSE 2610.
When Offered: Fall term annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 5 contact hours
Credit Hours: 3 |
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ECSE 4780 - Advanced Computer Hardware Design
Design methodologies include register transfer modules and firmware microprogrammed design. “Bit-slice” philosophy of design. LSI microprocessors as design elements in larger digital systems such as high-speed channels and special purpose computers. Detailed discussion of the structure of several computers at the chip and board level. Specification of custom IC digital systems. FPGA based design implementation using VHDL. Students cannot receive credit for both this course and ECSE 6700.
Prerequisites/Corequisites: Prerequisite: ECSE 4770.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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ECSE 4790 - Microprocessor Systems
Hardware and software for real-time microprocessor-based digital systems. Basic concepts and operations of on-chip components related to digital system functionality. Architectures, instructions sets, and interfacing with peripherals through serial or parallel ports. Introduction to 32-bit machines with in-depth treatment of 16- and 8-bit machines. Emphasis on C language cross-compilers. Laboratory exercises are included to demonstrate hardware and software development techniques practiced in industry.
Prerequisites/Corequisites: Prerequisites: ECSE 2610 and ENGR 2350.
When Offered: Fall term annually.
Credit Hours: 3
Contact, Lecture or Lab Hours: 6 contact hours
Credit Hours: 3 |
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ECSE 4810 - Introduction to Probabilistic Graphical Models
This course covers topics related to learning and inference with different types of Probabilistic Graphical Models (PGMs). It also demonstrates the application of PGMs to different fields. The course covers both directed and undirected graphical models, both parameter and structure learning, and both exact and approximated inference methods.
Prerequisites/Corequisites: Prerequisites: ECSE 2500 or ENGR 2600; proficiency in computer programming. Prior knowledge in pattern recognition or machine learning is a plus but is not required.
When Offered: Fall term even-numbered years.
Cross Listed: ECSE 6810. Students cannot receive credit for both this course and ECSE 6810.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4850 - Introduction to Deep Learning
Deep learning fundamentals and applications in artificial intelligence. Topics include machine learning foundation, linear regression and classification, deep neural networks, convolutional neural networks, recurrent neural networks, generative adversary neural networks, Bayesian neural networks, deep Boltzmann machine, deep Bayesian networks, and deep reinforcement learning.
Prerequisites/Corequisites: Prerequisites: ECSE 2500, MATH 2010, and CSCI 1200.
When Offered: Spring term annually.
Cross Listed: ECSE 6850. Students cannot obtain credit for both this course and the cross listed course.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4900 - Multidisciplinary Capstone Design
A capstone design experience that engages students from biomedical, computer and systems, electrical, industrial, materials, and mechanical engineering on teams in an open-ended engineering design problem in preparation for professional practice. With the guidance of a multidisciplinary team of faculty members and instructional support staff, students apply knowledge and skills from prior coursework. This is a communication-intensive course.
Prerequisites/Corequisites: Prerequisites: ENGR 2050 and senior status.
When Offered: Fall and spring terms annually.
Cross Listed: ISYE 4270, MTLE 4920 and MANE 4260. Students cannot obtain credit for this course and ISYE 4270, MTLE 4920, MANE 4260.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 4940 - Independent Studies in Electrical, Computer, and Systems Engineering
Supervised reading and research.
Credit Hours: 1 to 3
Credit Hours: 1 to 3 |
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ECSE 4960 - Topics in Electrical, Computer, and Systems Engineering
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6050 - Advanced Electronic Circuits
Linear and non-linear applications of operational amplifiers, with an emphasis on circuit design. Non-ideal operational amplifier behavior, including both static and dynamic characteristics. Amplifier stability and frequency compensation techniques. Operational amplifier-based oscillators. Circuit noise.
Prerequisites/Corequisites: Prerequisite: ECSE 2050.
When Offered: Spring term annually.
Cross Listed: ECSE 4050. Students cannot receive credit for both this course and ECSE 4050.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6090 - Advanced Power Electronics
Advanced power electronic circuits and systems, as well as their modeling and control. Topics include advanced dc-dc converters, modeling by averaging and sampled-data methods, discontinuous conduction modes, linear and nonlinear current control methods and design, spectral and dynamic characteristics of pulse-width modulation, ac-dc converters with active power factor correction, resonant and soft-switching converters, and EMI filter design, as well as autonomous and distributed power systems. Course assignments include laboratory projects involving simulation, hardware design, and measurement.
Prerequisites/Corequisites: Prerequisite: ECSE 4080 or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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Credit Hours: 3 |
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ECSE 6120 - Power Quality
Power quality examines the causes of and solutions to electric power quality problems. Topics range from utility issues such as voltage sags, swells, and outages to consumer issues, such as harmonic distortion, and bus reliability at the equipment level. Solution methods such as implementing surge suppressors, the UPS, active filtering, and proper grounding techniques will be discussed.
Prerequisites/Corequisites: Prerequisites: ECSE 6160 or ECSE 4080 are recommended.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6130 - Protective Relaying
Basic relaying philosophy. Current and potential transformers. Operating principles of electromagnetic, electronic, and digital relays. Application of relays to protect generators, busses, transformers, and transmission lines.
Prerequisites/Corequisites: Corequisite: ECSE 6110.
When Offered: Offered upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6140 - Power Generation Operation and Control
Economics of the operation of power systems. Control of hydro and thermal generating units. Aspects of interconnected operation. Transmission losses and techniques for optimum economic generation. Hydrothermal coordination problems. Modern power markets. State estimation.
Prerequisites/Corequisites: Corequisite: ECSE 6110 or ECSE 4110 or equivalent.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6150 - Electric and Magnetic Fields in Electric Power Engineering
Review of electromagnetic theory required to undertake analysis and design of power equipment. Experimental, analog, and digital field estimation techniques. Case studies in electric and magnetic fields such as cable and bushing design, problems of gas bus systems, electrostatic precipitation, magnetic flux penetration, eddy currents, losses, shielding, generation of torque.
Prerequisites/Corequisites: Prerequisite: ECSE 4120 or equivalent.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6160 - Surge Phenomena in Electric Power Engineering
Analysis and computation of electrical transients in lumpy and distributed power circuits; switching surges, lightning surges, traveling waves. Impact of surges on terminal equipment. Insulation coordination; system protection; design of electric power apparatus and systems to operate reliably and economically in a transient environment.
Prerequisites/Corequisites: Prerequisite: ECSE 6110.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6170 - Modeling and Simulation for Cyber-Physical Systems
Modeling and simulation of cyber-physical systems through object-oriented equation-based computer languages and software tools. Describes formalisms for continuous, discrete, timed-clocked synchronous systems and finite state machines; and applies simulation methods through numerical solution of differential-and-algebraic higher-and-varying index systems of equations with time and state event event handling. Composing reusable model architectures, templates, interfaces and data management for model variants. Applies model deployment in heterogeneous environments using model exchange, co-simulation and real-time simulation techniques. Co-listed: ECSE 4170 and ECSE 6170. Students cannot obtain credit for both this course and the co-listed course.
Prerequisites/Corequisites: Corequisite: MATH 4800 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6180 - Advanced Power System Modeling and Control
Modeling of power system components including HVDC systems, flexible AC transmission systems, and wind turbines. Analysis and control techniques such as reactive power control, coherency, and model reduction. Synchrophasor technology – measurement, communication, and control.
Prerequisites/Corequisites: Prerequisites: ECSE 6190 or equivalent and knowledge of MATLAB or permission of the instructor.
When Offered: Spring term even-numbered years.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6190 - Computer Methods in Electric Power Engineering
Applies the student’s knowledge of power engineering to the solution of large problems by computer methods. Treats matrix techniques, load-flow analysis, network building, short circuit studies, numerical integration, and finite element analysis as it applies to power systems and power apparatus.
Prerequisites/Corequisites: Prerequisite: ECSE 6110 or ECSE 4110 or equivalent or permission of instructor.
When Offered: Upon availability of instructor.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6200 - Semiconductor Device Characterization
This graduate-level course is designed to give students a hands-on experience in the characterization of basic semiconductor devices (diffused resistors, pn junction diodes, Schottky diodes, MOS capacitors, bipolar junction transistors, MOSFETs) in wafer and/or packaged forms. The final project involves the students in a detailed characterization of devices in a specific application (e.g. high-voltage power electronics, submicron ULSI, microwave and wireless).
Prerequisites/Corequisites: Prerequisite: ECSE 6230.
When Offered: Spring term even-numbered years.
Credit Hours: 3
Contact, Lecture or Lab Hours: 3
Credit Hours: 3 |
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ECSE 6210 - Advanced Device Concepts
An introduction to emerging electronic and optoelectronics technology. Topics cover cutting edge technologies and novel device concepts, such as quantum devices, silicon-on-insulators (SOI), compound semiconductor devices and technologies, thin film transistors (TFTs), wide band gap semiconductor devices and technologies, Si-Ge devices, solar cells, photodetectors, semiconductor lasers, opto-electronic ICs, optical interconnects, and display technologies.
Prerequisites/Corequisites: Prerequisite: ECSE 2210 or equivalent.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6220 - Physical Foundations of Solid-State Devices
Physical foundations underlying the operation of modern electronic and photonic solid-state devices. Quantum mechanical foundations are emphasized, including the postulates of quantum mechanics, wave-particle duality, uncertainty relation, the Kronig-Penney model, and perturbation theory. In addition, the course covers areas such as semiconductor statistics, doping, heterostructures, transport, and tunneling.
Prerequisites/Corequisites: Prerequisites: ECSE 2210 or equivalent.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6230 - Semiconductor Devices and Models I
The physical operation of basic modern semiconductor devices and the determination of their internal parameters are discussed in detail. A review of semiconductor physics, including incomplete ionization, carrier lifetimes, and carrier transport, and solutions of continuity equation are presented. Devices include pn junction diodes, metal-oxide-semiconductor capacitors and field-effect transistors. Emphasis is placed on the fundamental mechanisms that contribute to device performance. The interrelationship between device parameters and circuit performance is also discussed.
Prerequisites/Corequisites: Prerequisite: ECSE 2210 or equivalent.
When Offered: Fall term annually.
Credit Hours: 3
Credit Hours: 3 |
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ECSE 6240 - VLSI Fabrication Technology
Fabrication technology for silicon and gallium arsenide integrated circuits with emphasis on sub-micron structures. Topics include epitaxy, diffusion, binary and ternary phase diagrams, grown and deposited oxides and nitrides, polysilicon and silicide technology, single-and multi-metal systems, plasma and chemical etching, ion milling photo, e-beam and X-ray lithography.
Prerequisites/Corequisites: Prerequisite: ECSE 4250 or equivalent.
When Offered: Spring term even-numbered years.
Credit Hours: 3
Credit Hours: 3 |
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