Electrical Engineering (EE)

This is a zero-credit course for students engaged in independent research or working with a faculty member or a member of the University staff on a special project. Registration requires a brief description of the research or project to be pursued and the permission of the director of the Summer Session. No course work is required.

Embedded systems are computing platforms that are embedded into a larger mechanical or electrical system, where they collect data, perform computations, and control the larger system's actions; examples include "smart" thermostats (e.g., Nest), automotive sub-systems, industrial robots, and flight control systems. When embedded systems are provided with network connectivity, the resulting capability enables the "Internet of Things" - large scale machine-to-machine interconnections that provide distributed intelligence intersecting wide swaths of everyday life. This course will use the Arduino platform to investigate fundamental issues associated with embedded systems and their role in the Internet of Things.

Embedded systems are computing platforms that are embedded into a larger mechanical or electrical system, where they collect data, perform computations, and control the larger system's actions; examples include "smart" thermostats (e.g., Nest), automotive sub-systems, industrial robots, and flight control systems. When embedded systems are provided with network connectivity, the resulting capability enables the "Internet of Things" - large scale machine-to-machine interconnections that provide distributed intelligence intersecting wide swaths of everyday life. This course will use the Arduino platform to investigate fundamental issues associated with embedded systems and their role in the Internet of Things.

Recitation designed to help engineering students with their problem solving skills in a smaller group setting.

Recitation designed to help engineering students with their problem-solving skills in a smaller group setting.

Recitation designed to help engineering students with their problem solving skills in a smaller group setting.

This course is an introduction to the field of electrical engineering through classes and various hands-on experiences. Students will gain skills in using breadboards, electronic components and electrical test equipment. Students will be introduced to concepts in electrical devices, circuits and systems that will be developed more-completely in later courses. The course comprises two 50-minute lectures and one three-hour laboratory session per week. Grading is based on pre-lab assignments, laboratory reports, and midterm and final exams.

This course introduces students to the concept of information carrying electrical signals and how as Electrical Engineers we can create, manipulate, transmit and receive information by electronic means. The course covers, basic linear circuit analysis; elementary signal theory; time and frequency-domain analysis; and the sampling theorem. The course will explore applications of these techniques to real-world problems.

An introduction to Electrical Engineering featuring microcontroller based C programming of embedded systems. The course includes basic concepts of electrical circuits and electronic devices including operational amplifiers and transistors. Labs feature microcontroller C programming for an embedded control environment, with emphasis on interfacing microcontrollers to a variety of sensor and actuators.

An introduction to the modeling and analysis of electric circuits - this course covers basic linear circuit analysis principles that include KCL, KVL, nodal and mesh analysis methods, network theorems, operation amplifiers as linear circuit elements, and transient analysis of first-order RC/RL circuits. Pre-req. Math 10560.

An introduction to the modeling and analysis of electric circuits - this course covers basic linear circuit analysis principles that include KCL, KVL, nodal and mesh analysis methods, network theorems, operation amplifiers as linear circuit elements, and transient analysis of first-order RC/RL circuits.

This course serves as an introduction to the field of electrical engineering through various hands-on experiences. Students will gain skills in using breadboards, electronic components and electrical test equipment. Students will be introduced to concepts in both electrical systems and devices that will be developed more-completely in later courses, so this course serves as an overview of the breadth of electrical engineering courses at Notre Dame. The course includes one three-hour laboratory session and one 50-minute lecture per week. Grading is based on pre-lab assignments, laboratory reports and a final exam.

Embedded systems are everywhere. Use your phone, look at your watch, turn on your TV and you are interacting with an embedded system. Complex systems such as cars, robots, and airplanes will have dozens of embedded systems that work together to complete a complex task. In this course you will learn the basics of designing, programming, and interfacing needed to build an embedded system. It will provide hands-on experience on how an embedded system can be used to solve Electrical Engineering problems.

Analysis of first, second, and higher order circuits, including natural response, forced response, phasor concepts, AC methods, frequency response, and Laplace transform techniques.

Electronic Devices and Systems is the topic of study or engineering practice related to active electron devices including diodes and transistors. This is in contrast to the field of linear circuits, with which you are already familiar, dealing with passive elements such as resistors, capacitors, and inductors. Active electron devices are often combined in a monolithic integrated circuit (IC) with supporting passive linear components to form microelectronics. Diodes and transistors are characterized by nonlinear current-voltage relationships (V≠IZ) which enable very important functions including amplification, frequency translation, oscillation, and switching. These functions, combined with filtering (from linear circuits) provide the building blocks for all modern electronic components including computers, cell-phones, audio/video equipment, power converters, and much more. Pre-req: Linear circuits including KVL/KCL, Thevenin/Norton equivalence

Introduction to electronic circuits and systems. Basic diode and transistor circuits and the associated DC bias analysis and low-frequency AC small signal analysis. Voltage and feedback amplifiers. Logic and analog circuits utilizing discrete solid-state devices. Spring.

This course is an introduction to the field of electrical engineering through classes and various hands-on experiences. Students will gain skills in using breadboards, electronic components and electrical test equipment. Students will be introduced to concepts in electrical devices, circuits and systems that will be developed more-completely in later courses. The course comprises two 50-minute lectures and one three-hour laboratory session per week. Grading is based on pre-lab assignments, laboratory reports, and midterm and final exams.

An introduction to Electrical Engineering featuring microcontroller based C programming of embedded systems. The course includes baisc concepts of electrical circuits and electronic devices including operational amplifiers and transistors. Labs feature microcontroller C programming for an embedded control environment, with emplasis on interfacing microcontrollers to a viariety of sensor and actuators.

This course serves as an introduction to the field of electrical engineering through various hands-on experiences. Students will gain skills in using breadboards, electronic components and electrical test equipment. Students will be introduced to concepts in both electrical systems and devices that will be developed more-completely in later courses, so this course serves as an overview of the breadth of electrical engineering courses at Notre Dame. The course includes one three-hour laboratory session and one 50-minute lecture per week. Grading is based on pre-lab assignments, laboratory reports and a final exam.

Electronic Devices and Systems is the topic of study or engineering practice related to active electron devices including diodes and transistors. This is in contrast to the field of linear circuits, with which you are already familiar, dealing with passive elements such as resistors, capacitors, and inductors. Active electron devices are often combined in a monolithic integrated circuit (IC) with supporting passive linear components to form microelectronics. Diodes and transistors are characterized by nonlinear current-voltage relationships (V≠IZ) which enable very important functions including amplification, frequency translation, oscillation, and switching. These functions, combined with filtering (from linear circuits) provide the building blocks for all modern electronic components including computers, cell-phones, audio/video equipment, power converters, and much more. This is a lab section to support the course, EE20241.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

Recitation designed to help engineering students with their problem solving skills in a smaller group setting.

Embedded systems are everywhere. Use your phone, look at your watch, turn on your TV and you are interacting with an embedded system. Complex systems such as cars, robots, and airplanes will have dozens of embedded systems that work together to complete a complex task. In this course, you will learn the basics of designing, programming, and interfacing needed to build an embedded system. It will provide hands-on experience on how an embedded system can be used to solve Electrical Engineering problems.

This course is open to anyone interested in obtaining an amateur radio license from the FCC while learning the fundamental principles of radio communications. No prior engineering experience is necessary. Practical concepts explaining radio operation will be emphasized, along with introducing the basic low-level theoretical physics and engineering principles of how radios work. At the end of the course, students will have the option to sit for a remote licensing exam to obtain a license from the FCC. This course is given in collaboration with the Notre Dame Radio Society and students on the new IrishSat team developing Notre Dame's first CubeSat satellite.

Undergraduate directed research

An introduction to the generation, transmission, and detection of information-bearing signals. Analog and digital modulation techniques including AM, FM, PSK, QAM, and PCM. Time and frequency division multiplexing. Fall.

This course will examine multimedia signals and design of systems for the capture, storage, transmission and reproduction of such signals. Signals of particular interest will include, audio and visual signals. The course will examine both the theoretical underpinnings of the representations and processing techniques along with common signal standards such as MP3, JPEG and MPEG.

An introduction to electronic systems for power conversion, including rectifiers, inverters, and DC-DC converters. PSPICE employed for simulation.

Building from standard electromagnetic field theory and wave equations, this course will present advanced methods in electromagnetics (EM) for modern applications in wireless communications, sensing, and design. Throughout the semester, each conceptual module has a lecture component and a corresponding numerical application project so that by the end of the semester students will have produced a toolbox of advanced analysis and design methods in EM. The course begins with a basic review of EM fields and wave equations and culminates in the development of a finite-difference numerical code for solving such equations. Then boundary conditions and single/multilayer wave propagation is examined via the Fresnel coefficients. This theory, along with periodic boundary conditions (Floquet ports) are used to characterize metasurfaces and represent with equivalent circuit models and surface susceptibility tensors. Constitutive field relations and frequency-dependent material models will be discussed and applied to metamaterials where students will implement the Nicholson-Ross-Weir method to extract material parameters of negative permittivity/permeability unit-cells. Aperture antennas including reflectors and lenses will be analyzed with the high-frequency methods including geometrical optics and finally, wave propagation including basic diffraction phenomena will be studied and applied to channel modeling for wireless communications coverage.

An introduction to solid-state electronic devices, presenting the basis of semiconductor materials, conduction processes in solids, and other physical phenomena fundamental to the understanding of transistors, optoelectronic devices, and silicon-integrated circuit technology

Applications of transport phenomena in semiconductors to explain the terminal behavior of a variety of modern electronic devices such as bipolar junction transistors, MOS structures, and field effect transistors.

Technical advances at the forefront of physics frequently drives biomedical innovation and improves our understanding and treatment of disease. In this course, we will study the physics behind several modern medical diagnostic, therapeutic, and imaging technologies in the context of the biomedical needs they address.

The goal of this course is to provide students with the knowledge to understand and apply state-of-the-art biomedical optical imaging and sensing techniques. This course will teach the fundamentals of light interactions with biological tissues, the preclinical and clinical applications of biomedical optical image/sensing, and the instrumentation required to do so. Topics explored include diffuse optics, tissue spectroscopy, florescence imaging, optical coherence tomography, confocal and nonlinear microscopy techniques, endoscopy, photoacoustics, and laser surgery.

This course examines scientific and engineering principles at work behind audio technology and sound phenomena. Will explore acoustics, microphone & speaker characteristics, equalization, Fourier Transforms, digital formats, recording, synthesizers, and more.

Introduction to electric power systems and electro-mechanical energy conversion, including generators, transformers, three-phase circuits, AC and DC motors, transmission lines, power flow, and fault analysis.

Learn the foundations of modern signal processing, communication systems, and control systems with examples from the latest applications of these technologies. In-depth treatment of the properties of signals as well as behavior of linear systems, in both the time domain and transform domain. Emphasis on Laplace transform techniques in continuous time and Z transform techniques in discrete time, with connections to the corresponding Fourier transform techniques, as well as connections between continuous-time and discrete-time via sampling and reconstruction. Specific Goals for the Course: ● This course builds out the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials and geometrics, Fourier representations, Laplace and Z transforms, sampling) and representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). ● Applications are drawn broadly from engineering and physics, including feedback and control, communications, and signal processing. Particular emphasis is placed on developing motivating examples that are relevant in modern society and of interest to students considering further study and careers in the field. Textbook: ● "Signal Processing and Linear Systems (2nd edition)," by B.P. Lathi and Roger Green.

New technology that improves human health, connectivity, transportation, and economic productivity requires connecting electronic sensors, actuators, and communication systems in complex and demanding environments. For example, wearable medical devices require lightweight, low-power operation while autonomous vehicles require real-time responses to many inputs. Students in this project-based course will design and build advanced embedded systems using dual-core 32-bit microcontrollers, debugging tools, and a real-time operating system

The course provides in-depth coverage of the analysis and synthesis of electronic circuits, including coverage of both analog and basic digital circuit functional blocks, with a focus on CMOS implementations. The design of multi-stage, differential and feedback amplifiers, wave-shaping circuits, logic gates, and mixed-signal concepts will be discussed. Specific topics include analysis and design of multi-stage transistor amplifiers, determination and control of frequency response and stability (through compensation techniques) of multi-stage amplifiers, study of feedback amplifiers and oscillators, design of nonlinear oscillators and wave-shaping circuits, design and analysis of CMOS-based combinatorial logic, and computer-aided design and analysis techniques.

Electromagnetic fields and waves are crucial for many forms of modern technology. Work in high-frequency circuits, high-speed electronics, optics, communications, all forms of Wi-Fi/radio/cellular networks, medical therapeutics, medical imaging and diagnostics, alternative energy, conventional energy, power systems, and many significant research projects in science and engineering require an understanding of electromagnetics. This course will provide an introduction to both the fundamental principles of electromagnetism and the applications in different fields.

An introduction to probability, random variables, and random processes as encountered in information processing systems. Analysis and estimation of stochastic signals and noise in linear systems.

Embedded systems are everywhere. Use your phone, look at your watch, turn on your TV and you are interacting with an embedded system. Complex systems such as cars, robots, and airplanes will have dozens of embedded systems that work together to complete a complex task. In this course you will learn the basics of designing, programming, and interfacing needed to build an embedded system. It will provide a hands-on experience on how an embedded system can be used to solve Electrical Engineering problems

Fundamentals of transistor integrated circuit design, including frequency response, feedback, stability, and frequency compensation with application to operational amplifiers, phase-locked loops, and AM/FM transmission and reception. Includes laboratory. Spring.

Behavior of linear systems in both time-and transform-domain representations; convolution integrals and summations, Fourier series signal expansions, Fourier and Laplace transform analysis of linear systems; discrete time Fourier transforms. Fall.

An introduction to solid-state electronic devices, presenting the basis of semiconductor materials, conduction processes in solids, and other physical phenomena fundamental to the understanding of transistors, optoelectronic devices, and silicon integrated circuit technology. Fall.

A basic course in electromagnetic field theory, using Maxwell's equations as the central theme. Vector analysis is employed extensively. Fall.

Applications of transport phenomena in semiconductors to explain the terminal behavior of a variety of modern electronic devices such as bipolar junction transistors, MOS structures, and field effect transistors. Spring.

Propagation of traveling waves along transmission lines: transient waves, steady-state sinusoidal time and space variations. Wave equations for unbounded media and in wave guides. Spring.

An introduction to probability, random variables and random processes as encountered in information processing systems. Analysis and estimation of stochastic signals and noise in linear systems.

Introduction to electric power systems and electro-mechanical energy conversion, including generators, transformers, three-phase circuits, AC and DC motors, transmission lines, power flow, and fault analysis. Spring.

Communication Systems Laboratory is a senior elective laboratory course covering practical aspects of modern analog and digital communication systems. Objectives for the course include: - surveying characteristics and models of communication channels and transceiver circuits - developing standard system block diagrams, performance metrics, and component algorithms - reinforcing practical aspects through laboratory exercises using software-defined radio - enabling deeper exploration through self-study and collaboration.

Laboratory work is integral to the course, to apply theoretical concepts to real-world circuitry and to understand the limitations of device models.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

The recitation is designed to help engineering students with their problem-solving skills in a smaller group setting.

Recitation designed to help engineering students with their problem-solving skills in a smaller group setting.

Recitation designed to help engineering students with their problem-solving skills in a smaller group setting.

Recitation designed to help engineering students with their problem solving skills in a smaller group setting.

This course examines the structure, design, and operation of large language models (LLMs) such as ChatGPT and their applications to electrical engineering. It discusses strengths and weaknesses of LLMs and methods to use them to accelerate the EE design process, including "prompt engineering", with a critical comparison to traditional design approaches. Further, the use of LLMs in EE teaching and learning will be explored.

Design of linear feedback control systems by state-variable methods and by classical root locus, Nyquist, Bode, and Routh-Hurwitz methods. Fall.

An introduction to the theory and application of digital information processing: analog/digital and digital/analog conversion, transform domain representation of discrete-time signals and systems, Z-transform, signal flow graphs, discrete Fourier transform, fast Fourier transforms, frequency analysis, filter design, filter structures, Wiener filter, finite-precision effects, applications in communications, and the analysis and synthesis of audio and image data.

This course introduces students to IC design fundamentals through the motivating context of artificial intelligence hardware. AI serves both as the goal application and as a lens to revisit basic analog / digital circuit principles. Students will use industry-standard Electronic Design Automation (EDA) tools such as Cadence Virtuoso and Synopsys Design Compiler. The course emphasizes the workflow from Verilog hardware description through synthesis, place-and-route, physical layout verification and chip integration, connecting device-level behaviors to AI system requirements. A semester-long project is the highlight, where students design and simulate a simplified AI accelerator block such as a multiply–accumulate array or neural network operator. This integrates Verilog coding, EDA workflows, and layout verification with an understanding of power, performance, and area trade-offs. By engaging with AI hardware as the design target, students both strengthen their circuit fundamentals and gain practical skills aligned with the needs of the semiconductor industry. This course supports the department’s mission to prepare engineers for the AI-driven future, enhancing electrical engineering curriculum while equipping students with tools and perspectives relevant to careers in semiconductors, computer engineering, and AI hardware research. Prerequisite courses include EE 20231 Digital Design, EE 20241 Electronic Devices and Systems, EE 30142 - Analog and Digital Circuit Design

This course is an introduction to microwave circuit design and analysis techniques, with particular emphasis on applications for modern microwave communication and sensing systems. An integrated laboratory experience provides exposure to fundamental measurement techniques for device and circuit characterization at microwave frequencies. Students will develop an enhanced understanding of circuit design and analysis principles as applied to modern microwave circuits, as well as become familiar with design techniques for both hand analysis and computer-aided design. An appreciation for basic measurement techniques for the characterization of microwave devices, circuits, and systems through laboratory experiments will also be developed.

A hands-on overview of the important role of photons alongside electrons in modern electrical engineering. Photonics technologies studied include lasers, optical fibers, integrated optics, optical signal processing, holography, optoelectronic devices, and optical modulators. A survey of the properties of light, its interactions with matter, and techniques for generating, guiding, modulating, and detecting coherent laser light.

Building from standard electromagnetic field theory and wave equations, this course will present advanced methods in electromagnetics (EM) for modern applications in wireless communications, sensing, and design. Throughout the semester, each conceptual module has a lecture component and a corresponding numerical application project so that by the end of the semester students will have produced a toolbox of advanced analysis and design methods in EM. The course begins with a basic review of EM fields and wave equations and culminates in the development of a finite-difference numerical code for solving such equations. Then boundary conditions and single/multilayer wave propagation is examined via the Fresnel coefficients. This theory, along with periodic boundary conditions (Floquet ports) are used to characterize metasurfaces and represent with equivalent circuit models and surface susceptibility tensors. Constitutive field relations and frequency-dependent material models will be discussed and applied to metamaterials where students will implement the Nicholson-Ross-Weir method to extract material parameters of negative permittivity/permeability unit-cells. Aperture antennas including reflectors and lenses will be analyzed with the high-frequency methods including geometrical optics and finally, wave propagation including basic diffraction phenomena will be studied and applied to channel modeling for wireless communications coverage.

This course introduces the student to the principles of integrated circuit fabrication. Photolithography, impurity deposition and redistribution, metal deposition and definition, and other topics. Students will fabricate a 5000 transistor CMOS LSI circuit. Fall.

The goal of this course is to illuminate the elementary design principles inherent in biology. Many of the underlying principles governing the network of biochemical reactions in a living cell can be related to circuit motifs with multiple inputs/outputs, feedback and feedforward. This course draws on control theory, elementary chemistry, and first-year calculus to provide a framework to discover and understand the performance of these networks. The topics examined in the course are drawn from current research and include: transcription networks, stochastic gene expression, adaptation, oscillators (circadian rhythms and the cell cycle), metabolism, pattern development, neural networks and cancer. The course is intended for advanced undergraduates in biology and engineering, but will appeal to graduate students as well.

This course will introduce the matrix form of quantum mechanics and discuss the concepts underlying the theory of quantum information. Some of the important algorithms will be discussed, as well as physical systems that have been suggested for quantum computing.

This course aims to provide students with the necessary tools for the design, control, and programming of robotic systems. The course will cover topics from various fields including robotic components (actuators, sensors, controllers, etc.), control systems integration, rapid fabrication, and experimental instrumentation. Students will learn to design and perform good experiments with hands-on group projects by creating a laboratory environment that mimics real-world scenarios. This course is a lecture/lab combination and is intended for Juniors and Seniors (but others may contact the instructor for permission).

The goal of robotics is to design intelligent machines that can help and assist humans in their day-to-day lives and keep everyone safe. This course focuses on the foundations and technology that enable the autonomy and mobility of robotic systems. The topics covered in this course include kinematics, dynamics and feedback control of mobile robots, motion planning, localization and mapping. There is no final exam but there will be a final project assigned. Pre-requisite: MATH 20580

The past decade has seen significant progress in Artificial Intelligence (AI). This course aims to bridge the gap between abstract machine learning concepts in AI and the tangible world of robotics. It offers a deep dive into the mechanisms that enable robots to see, understand, and react to their surrounding dynamic situations and work safely and effectively side-by-side with people. Topics include robot perception, high-level decision-making, and learning-based control. The ethical implications and societal impacts of AI robotics will also be explored. Through a combination of theoretical learning and hands on problem-solving, this course aims to provide students with a robust understanding of the principles behind AI and the practical challenges of robotic implementation. This course is designed to be accessible to students with foundational electrical engineering knowledge and a passion for diving into AI robotics. Whether you aim to pursue a career in industry or academia, this course will provide a solid footing in one of the most dynamic and impactful areas of modern engineering.

The first part of a yearlong senior design project. In this part, students will choose a project, develop the paper design, plan the implementation, and purchase the necessary materials. Fall.

The second part of a yearlong senior design project. In this part, students implement, test, and document their senior project. Prerequisite: EE 40190

Technical advances at the forefront of physics frequently drives biomedical innovation and improves our understanding and treatment of disease. In this course, we will study the physics behind several modern medical diagnostic, therapeutic, and imaging technologies in the context of the biomedical needs they address.

The goal of this course is to provide students with the knowledge to understand and apply state-of-the-art biomedical optical imaging and sensing techniques. This course will teach the fundamentals of light interactions with biological tissues, the preclinical and clinical applications of biomedical optical image/sensing, and the instrumentation required to do so. Topics explored include diffuse optics, tissue spectroscopy, florescence imaging, optical coherence tomography, confocal and nonlinear microscopy techniques, endoscopy, photoacoustics, and laser surgery.

This course examines scientific and engineering principles at work behind audio technology and sound phenomena. Will explore acoustics, microphone & speaker characteristics, equalization, Fourier Transforms, digital formats, recording, synthesizers and more.

This course will examine multimedia signals and design of systems for the capture, storage, transmission and reproduction of such signals. Signals of particular interest will include, audio and visual signals. The course will examine both the theoretical underpinnings of the representations and processing techniques along with common signal standards such as MP3, JPEG and MPEG.

The goal of this course is to illuminate the elementary design principles inherent in biology. Many of the underlying principles governing the network of biochemical reactions in a living cell can be related to circuit motifs with multiple inputs/outputs, feedback and feedforward. This course draws on control theory, elementary chemistry and first-year calculus to provide a framework to discover and understand the performance of these networks. The topics examined in the course are drawn from current research and include: transcription networks, stochastic gene expression, adaptation, oscillators (circadian rhythms and the cell cycle), metabolism, pattern development, neural networks and cancer. The course is intended for advanced undergraduates in biology and engineering, but will appeal to graduate students as well. (Prerequisite course: elementary chemistry (a course such as CHEM 10171 OR CHEM 10181); Recommended courses: elementary calculus (a course such as MATH 10560 may be taken concurrently); OR linear algebra and differential equations (a course such as MATH 20580 may be taken concurrently.)

An introduction to electronic systems for power conversion, including rectifiers, inverters and DC-DC converters. PSPICE employed for simulation.

This course introduces the student to the principles of integrated circuit fabrication. Photolithography, impurity deposition and redistribution, metal deposition and definition, and other topics. Students will fabricate a 5000 transistor CMOS LSI circuit. Fall.

This course is for upper level undergraduates and early graduate students interested in the scientific challenges of alternative energy generation, storage, and efficient use. The course will cover photovoltaic and solar power in depth, with additional coverage of fuel cells, hydrogen, energy storage, wind power, modern nuclear power, thermoelectrics, geothermal, and more. Upon completion of this course, students should be able to analyze important devices and predict the power output under various conditions, compare their strengths and weaknesses, plan a sustainable power grid, and describe the technical, economic, and political challenges to making each of these alternative energies successful.

An introduction to the generation, transmission, and detection of information-bearing signals. Analog and digital modulation techniques including AM, FM, PSK, QAM, and PCM. Time and frequency division multiplexing. Fall.

Design of linear feedback control systems by state-variable methods and by classical root locus, Nyquist, Bode and Routh-Hurwitz methods. Fall.

This course is an introduction to microwave circuit design and analysis techniques, with particular emphasis on applications for modern microwave communication and sensing systems. An integrated laboratory experience provides exposure to fundamental measurement techniques for device and circuit characterization at microwave frequencies. Students will develop an enhanced understanding of circuit design and analysis principles as applied to modern microwave circuits, as well as become familiar with design techniques for both hand analysis and computer-aided design. An appreciation for basic measurement techniques for characterization of microwave devices, circuits, and systems through laboratory experiments will also be developed. Fall.

This course will be an undergraduate course in cooperative and noncooperative game theory for both static and dynamic models (with deterministic as well as stochastic descriptions). Topics to be covered are: Formulation of static and dynamic games; Cooperative versus noncooperative decision making; Various solution concepts; Deterministic zero-sum and nonzero-sum finite static games; Existence and computation of Nash equilibria; Fixed point theorems; Finite dynamic games; Infinite and continuous-kernel games; Stackelberg equilibria for finite and infinite games; Cooperative games and bargaining; Evolutionary games and evolutionary stable strategies; Deterministic infinite zero-sum and nonzero-sum dynamic games; Introduction to stochastic dynamic games. Pre-requisites: (MATH 20580 or MATH 10094) and EE 30363

A hands-on overview of the important role of photons alongside electrons in modern electrical engineering. Photonics technologies studied include lasers, optical fibers, integrated optics, optical signal processing, holography, optoelectronic devices, and optical modulators. A survey of the properties of light, its interactions with matter, and techniques for generating, guiding, modulating, and detecting coherent laser light. Spring.

An introduction to the theory and application of digital information processing: analog/digital and digital/analog conversion, transform domain representation of discrete-time signals and systems, Z-transform, signal flow graphs, discrete Fourier transform, fast Fourier transforms, frequency analysis, filter design, filter structures, Wiener filter, finite-precision effects, applications in communications, and the analysis and synthesis of audio and image data. Spring.

The course in an introduction to modern electric and hybrid-electric vehicles. It covers basic aspects of batteries, electric motors, powertrain systems, and the vehicle-road system. Emphasis will be placed on energy and power flows in electric and hybrid-electric vehicle systems. Optimization of energy usage for given driving cycles will also be addressed in some detail. Some of the commercially available power management schemes will be introduced and potential alternatives will be explored.

This course will introduce the matrix form of quantum mechanics and discuss the concepts underlying the theory of quantum information. Some of the important algorithms will be discussed, as well as physical systems that have been suggested for quantum computing.

Humanity is in the midst of one of the most profound technological transformations in history. From precision agriculture to smart urban infrastructure, from cloud services to autonomous drones, from personal mixed reality systems to satellite based global internet, we are more reliant on computer technologies than ever before. This course will examine the history of digital computing, starting with early days of traditional logic and memory technology scaling. From there, state-of-the-art approaches in computing will be covered in depth, including mobile, cloud and edge computing and the enabling semiconductor technologies. The course will conclude by peering into the distant horizon, discussing technologies for broad artificial intelligence and quantum computing. Pre-requisite: MATH 20550 or 20580. EE 42555 Recitation is optional.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

This course supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

The second part of a yearlong senior design project. In this part, students implement, test, and document their senior project. Prerequisite: EE 41190

The first part of a yearlong senior design project. In this part, students will choose a project, develop the paper design, plan the implementation, and purchase necessary materials. Fall.

The second part of a yearlong senior design project. In this part, students implement, test and document their senior project. Spring.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

Communication Systems Laboratory is a senior elective laboratory course covering practical aspects of modern analog and digital communication systems. Objectives for the course include: - surveying characteristics and models of communication channels and transceiver circuits - developing standard system block diagrams, performance metrics, and component algorithms - reinforcing practical aspects through laboratory exercises using software-defined radio - enabling deeper exploration through self-study and collaboration.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

This course supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

This lab supplements the materials presented in the lecture setting and gives students the opportunity to reinforce their learning through hands-on experiments and through demonstrations in a laboratory environment.

Recitation designed to help engineering students with their problem-solving skills in a smaller group setting.

Recitation designed to help engineering students with their problem solving skills in a smaller group setting.

The study of real-time systems. A system is real-time if the total correctness of an operation depends not only upon its logical correctness, but also upon the time in which it is performed. Topics to be covered include time synchronization, safety critical systems, software based real-time systems.

This course will address the spectrum needs of various wireless applications, including spectrum needs for science, e.g. radio astronomy, weather forecasting, aircraft radars as well as cellular and Wi-Fi networks, and how spectrum policy addresses these growing needs while avoiding harmful interference between different uses, such as 5G and radar altimeters. The various kinds of spectrum allocations: licensed, unlicensed, and shared will be discussed along with system designs.

This course will be an undergraduate course in cooperative and noncooperative game theory for both static and dynamic models (with deterministic as well as stochastic descriptions). Topics to be covered are: Formulation of static and dynamic games; Cooperative versus noncooperative decision making; Various solution concepts; Deterministic zero-sum and nonzero-sum finite static games; Existence and computation of Nash equilibria; Fixed point theorems; Finite dynamic games; Infinite and continuous-kernel games; Stackelberg equilibria for finite and infinite games; Cooperative games and bargaining; Evolutionary games and evolutionary stable strategies; Deterministic infinite zero-sum and nonzero-sum dynamic games; Introduction to stochastic dynamic games.

The goal of robotics is to design intelligent machines that can help and assist humans in their day-to-day lives and keep everyone safe. This course focuses on the foundations and technology that enable the autonomy and mobility of robotic systems. The topics covered in this course include kinematics, dynamics and feedback control of mobile robots, motion planning, localization and mapping. There is no final exam but there will be a final project assigned.

The flow of heat, light, spin and electrical current on a nanometer-scale has revealed evidence of quantum mechanical effects for which classical physics cannot account. So, to equip the student with the tools required to invent future technologies in electronics, photonics, spintronics, quantum computing, quantum biology, sensing and metrology, this course tackles quantum transport on a nanometer-scale. With the introduction of the Schrodinger's and Maxwell's equations, the concept of a band structure and energy dispersion relations will be developed. In this context, compelling examples such as: quantum mechanical tunneling in a scanning tunneling microscope; Landau levels, edge states and Chern numbers in quantum Hall effect; conductance quantization in an electron wave-guide; flux-quantization in the Aharanov-Bohm effect and the Berry phase; photonic waveguides that bend light around corners; and metamaterials that scatter light in non-classical ways will be scrutinized through a variety of methods including the Boltzmann transport equation, perturbation theory and Fermi's Golden rule, the Landauer formula, non-equilibrium Green's functions (NEGF). This course does not require a background in quantum mechanics, but assumes only knowledge of basic concepts of vector algebra and some facility for solving differential equations. This course is intended for advanced undergraduates and graduate students in electrical engineering and biology, in particular, and engineering generally. Intro to Linear Algebra and Differential Equations (MATH 20580) OR Differential Equations (MATH 30650) recommended but not required.

This course introduces selected topics in signal processing and machine learning over networks. Topics presented include basic regression and classification techniques, and their implementations for cases when data is spread over several devices. Additionally, graph-based signal processing suitable for analyzing data arising from large-scale interactive systems will be covered. Time permitting, we will also present an overview on geometric deep learning techniques and their application in real-world scenarios (like the Netflix problem). The course will blend basic theory with computer projects; in particular, projects illustrating the presented concepts will follow a series of lectures along with possible seminar presentations. There will be a final project. This course is open to Undergraduate seniors and graduate students.

This course aims to provide students with the necessary tools for the design, control, and programming of robotic systems. The course will cover topics from various fields including robotic components (actuators, sensors, controllers, etc.), control systems integration, rapid fabrication, and experimental instrumentation. Students will learn to design and perform good experiments with hands-on group projects by creating a laboratory environment that mimics real-world scenarios. This course is a lecture/lab combination and is intended for Juniors and Seniors (but others may contact instructor for permission).

Realizing the dreams of autonomy requires autonomous systems that learn to make good decisions. Decision-making is a fundamental challenge in an enormous range of tasks, including robotics, transportation systems, smart manufacturing, etc. This class will provide a solid introduction to the field of AI planning and decision-making, with a focus on robotic applications. The lectures will start with AI planning methods for deterministic systems and an approach to learning near-optimal decisions from past experiences in the real world full of uncertainty. This course is intended for graduate students interested in robotics, autonomy, control, and learning. Course outline: •Deterministic decision-making: graph search, AI planning & automated planning, dynamic programming, model predictive control •Decision-making under uncertainty: Markov Chain, Markov Decision Processes, Hidden Markov Chain, Partially Observable Markov Decision Processes •Reinforcement Learning: model-based RL, policy gradients, value function-based methods, actor-critic methods We will cover these topics through a combination of lectures, assignments, and programming-based projects. Textbooks: (Recommended) Artificial Intelligence: A Modern Approach, Stuart J. Russell and Peter Norvig (Recommended) Principles of Robot Motion: Theory, Algorithms, and Implementations, Howie Choset, Kevin Lynch, Seth Hutchinson, George Kantor, Wolfram Burgard (Recommended) Reinforcement Learning: An Introduction, Sutton and Barto, 2nd Edition

Building from standard electromagnetic field theory and wave equations, this course will present advanced methods in electromagnetics (EM) for modern applications in wireless communications, sensing, and design. Throughout the semester, each conceptual module has a lecture component and a corresponding numerical application project so that by the end of the semester students will have produced a toolbox of advanced analysis and design methods in EM. The course begins with a basic review of EM fields and wave equations and culminates in the development of a finite-difference numerical code for solving such equations. Then boundary conditions and single/multilayer wave propagation is examined via the Fresnel coefficients. This theory, along with periodic boundary conditions (Floquet ports) are used to characterize metasurfaces and represent with equivalent circuit models and surface susceptibility tensors. Constitutive field relations and frequency-dependent material models will be discussed and applied to metamaterials where students will implement the Nicholson-Ross-Weir method to extract material parameters of negative permittivity/permeability unit-cells. Aperture antennas including reflectors and lenses will be analyzed with the high-frequency methods including geometrical optics and finally, wave propagation including basic diffraction phenomena will be studied and applied to channel modeling for wireless communications coverage.

Individual or small group study under the direction of a faculty member in an undergraduate subject not concurrently covered by any University course.

A research project at the undergraduate level under the supervision of a faculty member.

This is a zero-credit course for students engaged in independent research or working with a faculty member or a member of the University staff on a special project. No course work is required.