Graduate Courses and Descriptions

Current and recent course offerings may be found at these links on the Registrar's Website:

• Fall EE COURSES
• Spring EE COURSES

Principles of electromagnetic energy conversion with applications to motors and generators. Topics include magnetic circuits, transformers, hysteresis, field energy, dc and ac motors. Students learn the basic fundamentals of electro-mechanical energy conversion. Design project with laboratory validation accounts for 50 % of grade.

Introduces nanophotonics as a field within science and engineering that includes research focused on creating nanoscale structures with desired optical properties, new approaches to manipulating light on a subwavelength scale, as well as using photons to fabricate and characterize nanoscale systems. Topics covered include an introduction to nanophotonics,lithography, growth and synthesis of nanomaterials, structural and optical characterization ofnanostructured materials, quantum and optically confined devices, plasmonics, and metamaterials. Applications of nanophotonic devices for bioimaging, sensing, solar energy, and solid-state lighting will also be discussed.

Discrete-Time Signals and Systems, The Z-Transform, Digital Filter Structures, The Discrete Fourier Transform, various FFT algorithms, The Short Time Fourier Transform (STFT), The Chirp Z-Transform, Divide and Conquer Algorithms, Digital Filter Design Techniques, Finite Wordlength Effects, Noise Effects, Nonlinear DSP, Multirate Filter Banks, Application Examples: Communications, Wave Form Design in Radar and communications, Geophysical Applications, Biomedical Applications, Image and Video Processing, Digital watermarking and security.

Arithmetic Intensive Computing in DSP. D&Q Algorithms in Digital Filter Structures, in particular Binary FIR Filters and Filter Banks, Connection and application of Multiplier and Adder and Multioperand Adder structures. D&Q in FFT algorithms, the Short Time Fourier Transform (STFT), The Chirp Z-Transform, other Fast Transforms including the Walsh-Hadamard Transform and Matrices. D&Q in Multirate Filter Banks, Application and Wave Form and Code Design Examples in Communications and Radar.  The new concept fo Wave Computing will be introduced and developed.

ABC of nanoscience and nanotechnology is quantum mechanics. In the current course students acquire and learn quantum-mechanical notions from the numerous examples of nanostructures and hands-on experience in the Nanotechnology Lab. The course will lay a solid foundation in quantum mechanics and electronics, and will prepare the students to advanced courses in microelectronics, nanoelectronics, nanoscience, nano-bio-sensors, nanotechnology, and nanofabrication

An application-oriented course to introduce students to the basic principles and concepts employed in analysis and synthesis of modern-day analog and microcomputer control systems. Topics include: review of vectors, matrices, and Laplace transforms, followed by introduction to block diagram, signal flow graph, and state-variable representation of physical systems, network and linear graph techniques of system modeling; time-domain, frequency domain, and statespace analysis of linear control systems, control concepts in multivariable systems, hierarchy of control structures, design of analog and digital controllers.

This course introduces concepts and applications of quantum computing and covers basic quantum mechanics focused on two-level systems (qubit), basic principles and examples of quantum gates and some concrete examples of physical realization of quantum computers. The specific topics covered include quantum postulates, states, ensembles, density matrix, pure and mixed states, qubits, Pauli matrix, Bloch sphere, single-qubit states, rotation matrix in R3, Schmidt decomposition and state purification, orthogonal measurement, generalized measurement (POVM), unitary evolution operator, Krauss evolution operator, entanglement, EPR states, Bell inequality, dense coding, quantum teleportation, no cloning, EPR quantum key distribution, single-qubit quantum gates (Hadamard), reversible gates (Fredkin, Toffoli, Feynman), quantum Fourier transform (Shor’s algorithm), quantum search (Grover’s algorithm), physical realization examples including superconducting circuit QED, single electron spin qubit in quantum dot and selected device topics of recent development. 

The recent emergence of fabrication tools and techniques capable of constructing nanometersized structures has opened up numerous possibilities for the development of new devices with size domains ranging from 0.1 - 50 nm. The course introduces basic single-charged electronics, including quantum dots and wires, single-electron transistors (SETs), nanoscale tunnel junctions, and so forth. Giant magnetoresistance (GMR) in multilayered structures are presented with their applications in hard disk heads, random access memory (RAM) and sensors. Discusses optical devices including semiconductor lasers incorporating active regions of quantum wells and self-assembled formation of quantum-dot-structures for new generation of semiconductor layers. Finally, devices based on single- and multi-walled carbon nanotubes are presented with emphasis on their unique electronic and mechanical properties that are expected to lead to ground breaking industrial nanodevices. The course also includes discussions on such fabrication techniques as laser-ablation, magnetron and ion beam sputter deposition, epitaxy for layer structures, rubber stamping for nanoscale wire-like patterns, and electroplating into nanoscale porous membranes.

Through the examples, exercises, educational Java applets, and labs this course covers the electrical and optical properties of materials and nanostructures, chemically-directed assembly of nanostructures, biomolecules, traditional and nontraditional methods of nanolithography, heterostructures, nanotubes, resonant-tunneling diodes, transistors, single-electron transfer devices, nano-electromechanical systems, and more.

In this course, students will learn the basic sensing theory behind of the wearable and implantable sensing technology. A variety of advanced sensors will be introduced, including temperature/humidity, pressure, acceleration, gyroscope, motion, heartbeat, sweat, impedance, ultrasonic, UV, optical, electrochemical and biomedical sensors. In the class, students will design and propose a concept of their own unique wearable and implantable device/system using multiple sensing techniques. Recent and future trends in wearable and implantable sensor technology will be discussed too. Students will gain a broad perspective in the area of sensors and wearable and implantable technology for healthcare and appealing applications.

Covers various commonly used micro/nanofabrication techniques, microfluidics, various chemical and biochemical applications such as separation, implantable devices, drug delivery, and microsystems for cellular studies and tissue engineering. Discuss recent and future trends in BioMEMS and lab-on-a-chip (LOC) technologies. Students will gain a broad perspective in the area of micro/nano systems for biomedical and chemical applications.

Develops an understanding of the operation of different semiconductor devices, starting from a quantitative knowledge of semiconductor properties.

The theory of Probability and Stochastic processes is useful in almost every science and engineering area. Probability models are one of the tools that enable engineers to make sense out of the chaos and to successfully build systems that are efficient, reliable, and cost effective. This course describes the theory underlying probability models as well as the basic techniques used in the development of such models. The student should complete this course with the ability to identify problems that can be addressed using stochastic models, as well as to use such models to solve and gain insights into such problems.

In this course, the fundamental concepts of telecommunication networks will be introduced. A bottom-up layered approach will be used to explain how the performance requirements of telecommunication networks have been traditionally solved. In particular, the functionalities of the physical layer, e.g., information modulation, coding and transmission; data link layer, e.g., medium access control, error control and addressing; network layer, e.g., information routing and forwarding; transport layer, e.g., end-to-end reliable transport and QoS provisioning, and application layer, will be discussed in detail. In addition to the theoretical lectures, guided experimental assignments with advanced network simulation and monitoring tools will be conducted to better illustrate the concepts learnt in the class. This course will provide the students with the necessary knowledge to understand current data communication networks as well as to contribute to the development of next generation telecommunication systems.

This course introduces basic principles and concept to design modern digital communication systems, including major components of a communication system, various communication channel models, basic transmitter and receiver designs (baseband signal, bandpass signal, Qsignal, I-signal, modulation/demodulation process), various digital modulation techniques (PAM, PSK, QAM, FSK, NRZ, CPM, GMSK), optimum detection and demodulation methods (MAP and ML detectors, error probability, optimum detector for AWGN channel, optimum detection and error probability analysis for various modulation schemes, non-coherent detector), carrier and symbol synchronization (carrier phase and symbol timing recovery), channel capacity and channel encoding/decoding (error-correction codes, basic linear block codes, convolutional codes, TCM, Viterbi decoding algorithm). The principles and methodologies discussed are important in the design and optimization of modern communication systems such as 4G LTE, WiFi, optical fiber/free-space communications, underwater acoustic communications and so on.

The course presents the mathematical foundation for the study of communication. We will explore the concept of information and communication through the mathematical lens of probability theory. Topics include: the notion of entropy and mutual information; channel coding and error correction; source coding and data compression; differential entropy; and rate distortion theory.

Fabrication technology for microelectronic devices: crystal growth, wafer fabrication and characterization, mask fabrication, photo-resist chemistry and physical properties, photo, e-beam and x-ray-lithography, diffusion doping, ion implantation, etching, , CVD, MBE, DC and RF plasma reactors, evaluation and packaging. Operation of microelectronic devices (interconnects, passive devices, and MOS devices), micro-optical devices (CDRs, etc.) and micro electromechanical devices (micro-motors, micro-mirror arrays, etc).

First, discusses the basics of p-n junctions including current flow, and recombination. In addition, discusses light-emitting diode fundamentals, heterojunctions, metal-semiconductor contact, design, and recent advances. The course ends with a discussion of solar cell principles, design, and applications.

This course covers topics related to magnetic resonance imaging (MRI) including: magnetic resonance signal generation and detection; spatial encodings; image formation and reconstruction; image contrasts; biomedical applications; advanced imaging techniques. This course is permanently cross listed with BME460.

The intent of this course is to provide an introduction to power electronic conversion principles. Analytical techniques will be developed through the study of the widely used power converter circuits. Applications include electronics power supplies, utility power systems, renewable energy systems, and vehicles.

The first of a two-course sequence in the area of RF and microwave circuit design. Initial topics include transmission line equations, reflection coefficient, VSWR, return loss, and insertion loss. Examples include impedance matching networks using lumped elements, single-section and multi-section quarter wave transformers, single-stub and double-stub tuners, the design of directional couplers, and hybrids. There is a student design project for a planar transmission line circuit based upon the software package Advanced Design Systems (ADS). The design is fabricated and tested.

This course introduces a specific type of electric power system, the microgrid. With ongoing deregulation of the electrical utility industry and emergence of more renewable smaller generation sources advancement into the electrical power industry will be met by microgrids. The components of a microgrid allow for modular production, distribution and storage of electricity. Topics will include a historical global perspective of electrical systems, individual enabling technologies that comprise a microgrid will be presented. The class involves a design of a microgrid that incorporates and considers economic, environmental, sustainable, manufacturable, ethical, health and safety, social and political constraints.

The second course of a two-course sequence in the area of RF and microwave circuit design. Topics covered are active RF devices (diodes, BJTs, FETs), amplifiers, detectors, mixers, oscillators, and microwave systems. Advanced Design System (ADS) is used for CAD analysis of circuits. Students design, construct, fabricate, and measure the performance of microwave amplifiers, VCOs.

Topics include introduction to high-voltage engineering; generation of high voltages (AC, DC, impulse, pulse); measurements of high voltages; destructive and nondestructive insulation test techniques; shielding and grounding; electric shock and safety. Paper in a related high-voltage area and an in-class presentation required.

Covers the principles and designs of various important biomedical instruments including pacemaker, EEG, ECG, EMG, and ICU equipment and diagnostic imaging devices (such as blood bank monitor), CT, MRI, mammography, ultrasound, endoscope, confocal microscope, and multiphoton non-linear microscope (2-photon fluorescent, SHG and THG). Imaging devices (e.g., CCDs) and medical image processing are also covered. Includes a general introduction to biological systems; emphasizes the structural and functional relationship between various biological compartments.

Surveys the field of modern energy systems, with the foundation being classical electrical power and related power electronics. Topics include complex power, per unit analysis, transmission line parameters and modeling, and compensation. Students also study alternative energy systems in this course. Course also includes use of a Power Simulation Program in which modeling can be done. This program is also used for the final system design project paper which accounts for 50% of the course grade.

Device fundamentals of CMOS field effect transistors and BiCMOS bipolar transistors. Device parameters and performance factors important for VLSI devices of deep-submicron dimensions. Reviews silicon materials properties, basic physics of p-n junctions and MOS capacitors, and fundamental principles of MOSFET and bipolar transistors. Design and optimization of MOSFET and bipolar devices for VLSI applications. Discusses interdependency and tradeoffs of device parameters pertaining to circuit performance and manufacturability. Also discusses effects in small-dimension devices: quantization in surface inversion layer in a MOSFET device, heavy-doping effect in the bipolar transistor, etc.

No description available.

In this course students will explore economics, policy, and engineering aspects of smart grids and its implications for engineering in the market environment. Optimization framework will be discussed to accommodate the multidisciplinary aspects. Under the framework, linear algebra, power flow analysis, and power system operation will be covered.

The main focus of this course is on two areas and their interconnections:
(1) Good Code Sets, both periodic and aperiodic, that are used in communications and Radar, and (2) Error Correcting Codes, in particular Block Error Correcting Code. Various sequences and codes are studied, and open research problems considered. The courses objective is to obtain fundamental knowledge in the above area, and to be exposed to key unsolved problems.

This course serves as an introduction to multiple-input multiple-output (MIMO) wireless communications, which plays an important role in modern high-data-rate wireless communication systems (WLAN, WiMAX, 4G LTE and beyond). The course begins with an overview of various models for wireless fading channels (flat/frequency-selective fading, Rayleigh/Rician/Nakagami fading, and Jake’s fading channel simulator). Then, we introduce MIMO wireless communications systems and analyze system performance to understand the advantages of MIMO systems. We will also introduce various space-time (ST) coding and modulation techniques for MIMO systems (cyclic codes, unitary ST codes, diagonal algebraic ST codes, and ST codes from orthogonal designs) and discuss system/code design challenges. Finally, we discuss MIMO-OFDM systems for broadband wireless communications. The course concludes with applications of MIMO techniques in various IEEE standards.

In this course, the state of the art in communication, networking and data collection technologies for the IoT will be introduced through a series of theoretical lectures and laboratory projects. In the lectures, a flipped classroom strategy will be followed to cover the main steps in the data path, including data acquisition, local data processing, data communication, data stream, data storage & cloud and data analytics. In the laboratory sessions, students will work in teams to realize a specific application of the IoT. The starting point will be state-of-the-art system-on-chip (SoCs) able to support the main technologies for the IoT (including Low-Power Wide Area Network). At the end of the semester, students will demonstrate their project to a broader audience, potentially involving key stakeholders in the IoT realm.

Topics and instructors vary by semester as determined by instructor, but each will focus on current aspects of or new technologies within Electrical Engineering.

Specification, design, development, and test of embedded systems. Study and develop the major elements of an embedded system. Integrate these pieces into a complete working system in the laboratory.

Introduction to hardware description languages (HDL). VHDL based design of digital systems. Analysis via implementation on field programmable gate arrays (FPGAs).

The first part of this course will cover synthesis methods of semiconductor and related materials. The focus will then shift to characterization of such materials. Numerous characterization methods will be introduced, most or all of which will fall under the following four categories: microscopy, optical spectroscopy, electron spectroscopy, electrical measurements.

This course will cover recent developments in wireless communication systems. Several cutting-edge wireless communication systems and the technologies behind these systems will be discussed. The topics to be covered are listed as follows: Fundamentals of Wireless Communications, Wireless Transmission for Digital TV and Mobil TV, LTE / LTE-A Cellular System, Near Field Communications, Underground Wireless Communications, Underwater Wireless Communications.

The laboratory course is designed to reinforce the concepts discussed in class with a hands-on approach and to allow students to learn laboratory techniques in geometrical optics, polarization, interference, diffraction, signal processing and holography. 

In this course, the students will learn how to implement different communication techniques through hands-on experimentation. The course is divided in two parts. In the first part, the students will follow a guided set of assignments to consolidate the concepts learnt in the related communication courses. The instructor in class will review these concepts and provide the students with the necessary tools to implement them on a novel embedded systems platform. In the second part, the students will choose among different proposed projects (or will come up with their own idea) and design, implement and evaluate the performance of a practical communication system for real-world application scenarios. This course will provide the students with the necessary skills to implement practical communication techniques for everyday systems.

In this course, the students will learn advanced network design concepts through hands-on experimentation with real-world implementations. The course is divided in two parts. In the first part, the students will follow a guided set of assignments to consolidate the concepts learnt in the related networking courses. The instructor in class will review these concepts and the students will learn how to apply them in a practical environment. Then, a novel embedded system board will be utilized to implement well-known protocols for both wired and wireless networks. In the second part, the students will design, implement and evaluate state-of-the-art and novel networking protocols for real-world application scenarios that each group will come up with. This course will provide the students with the necessary skills to not only theoretically understand but also practically contribute to the development of our internetworked society.

This course will cover many aspects of modern wireless transceiver design. It introduces the design of transmitters and receivers. The course starts at the transceiver system level and proceeds to the detailed circuit design of their key analog components. Interfacing of the analog circuitry to ADC’s and DAC’s will also be covered. An introduction to digital signal processing for modulation and demodulation of a variety of different modulation types will also be provided. This is a project based course and the semester will culminate with student groups presenting a project that they have designed built and tested. A variety of computer simulation and design tools will be used including MATLAB/Simulink, LTSpice and other RFcircuit design tools.

Nonlinear optics describes light matter interaction at high light intensities where the linear approximation of the material response is no longer precise. The field of nonlinear optics was born in the early 60's with the invention of lasers that provided light intensities high enough for experimental observation of nonlinear effects. In this course, the basic principles and effects in nonlinear optics are introduced. The relation between the nonlinear material response and the anharmonic oscillator model is illustrated. The second and third order nonlinear processes are discussed together with their applications in optical devices (frequency conversion, all optical switching, supercontinuum generation, conjugated mirror for aberration correction, optical limiting, and 3D microfabrication (lithography) based on multiphoton absorption etc.) and imaging (biomedical nonlinear microscopy). The course introduces basic concepts in nonlinear optics (e.g., phase matching, parametric and non-parametric processes, optical parametric oscillations and amplification, optical phase conjugation, and stimulated Raman scattering).

The intent of this research-oriented course is to provide both undergraduate and graduate students an introduction to 2D materials (e.g., graphene, MoS2, h-BN etc.) and their electronic applications. The course will cover both fundamental knowledge and cutting-edge technology of 2D materials, and will give a comparison study with traditional 3D semiconductor physics. The main course includes electronic structures and properties, synthesis, characterization, functionalization and engineering, devices and applications of 2D materials. The course also includes several special talks focusing on the most representative state-of-the-art technology in 2D electronics.

This course will cover a variety of optoelectronic and photonic devices operating in different spectral ranges, i.e. from UV/visible to far-infrared (terahertz). The course consists of three closely connected parts. The first part will cover the fundamental physics highly relevant to optoelectronics and photonics, with an emphasis on the physics governing the electronic and optical properties of various materials and engineered structures used for optoelectronics and photonics. The second part will cover a range of optoelectronic and photonic devices/systems which have been proven to be successful technologies and are currently being used in various applications. These devices include semiconductor lasers and light emitter diodes, photodetectors, waveguides and modulators, as well as plasmonics and metamaterials. Simulation of photonic structures using the commercial software based on the FDTD method (Lumerical) will also be covered. The third part is dedicated to more recently developed optoelectronic and photonic devices based on emerging two-dimensional materials and their heterostructures, including graphene, hexagonal boron nitride, various transition metal dichalcogenides (such as MoS2, WSe2), etc.

This course will cover a variety of optoelectronic and photonic devices operating in different spectral ranges, i.e. from UV/visible to far-infrared (terahertz). The course consists of three closely connected parts. The first part will cover the fundamental physics highly relevant to optoelectronics and photonics, with an emphasis on the physics governing the electronic and optical properties of various materials and engineered structures used for optoelectronics and photonics. The second part will cover a range of optoelectronic and photonic devices/systems which have been proven to be successful technologies and are currently being used in various applications. These devices include semiconductor lasers and light emitter diodes, photodetectors, waveguides and modulators, as well as plasmonics and metamaterials. Simulation of photonic structures using the commercial software based on the FDTD method (Lumerical) will also be covered. The third part is dedicated to more recently developed optoelectronic and photonic devices based on emerging two-dimensional materials and their heterostructures, including graphene, hexagonal boron nitride, various transition metal dichalcogenides (such as MoS2, WSe2), etc.

Design of electronic instruments, with emphasis on the use of analog and digital integrated circuits. Topics include techniques for precise measurements; sensors and their use for measurement of temperature, displacement, light, and other physical quantities; active and passive signal conditioning; and power supplies. Individuals or groups design and demonstrate an instrument, and provide a written report.

Intended for first-year graduate students. Silicon-based integrated MEMS promise reliable performance, miniaturization and low-cost production of sensors and actuator systems with broad applications in data storage, biomedical systems, inertial navigation, micromanipulation, optical display and microfluid jet systems. The course covers such subjects as materials properties, fabrication techniques, basic structure mechanics, sensing and actuation principles, circuit and system issues, packaging, calibration, and testing.

The course deals with analysis and design of antennas and their application to specific wireless systems. EE536 begins with an overview of the fundamental electromagnetic principles underlying wave propagation and antennas. The following topics include base station and handset antennas; antenna parameters: power pattern, directivity, effective aperture, radiation resistance, antenna impedance; antenna arrays; frequency independent antennas, log-periodic, and spiral antennas; microstrip antennas; horn and satellite antennas. The lab part of the course provides the students with hands-on experience in measurements of the most important antenna parameters (returns loss, frequency bandwidth, impedance, and power pattern) using professional industrial equipment such as a vector network analyzer, microwave power meter, and other devices available in the microwave laboratory.

Nanotechnology is providing a new set of tools to the engineering community to design and manufacture nanoscale components with unprecedented functionalities. The integration of several of these nano-components into a single device will enable the development of advanced nanomachines. Nanonetworks, i.e., networks of nanomachines, will enable a plethora of applications in the biomedical, environmental, industrial and military fields. These applications range from intra-body wireless nanosensor networks for advanced health monitoring systems to terabit wireless network-on-chip for ultra-high-performance computer architectures. In this course, the fundamentals of nanoscale machine communication and networking will be presented, with a special emphasis on graphene-enabled wireless communication and biologically-inspired molecular communication. Each of these alternatives will be described by following a bottom-up approach, i.e., first, an overview of its specific enabling device technology will be presented and, second, the state of the art in terms of communication channel modeling, physical layer techniques (e.g., modulation, coding, transmission) and link layer solutions (e.g., medium access control, error control) will be described. 

Introduces analog integrated circuit fabrication and layout design for analog VLSI. Covers: representative IC fabrication processes (standard bipolar, CMOS and analog BiCMOS); layout principles and methods for MOS transistors and device matching; resistors and capacitors layout; matched layouts of R and C components; bipolar transistors and bipolar matching; and diodes. Also reviews several active-loaded analog amplifier circuits, focusing on CMOS and BiCMOS op amp configuration. Requires a term project on the layout design of simple op amp circuits involving CMOS or BiCMOS op amps plus several matched devices of resistors, capacitors and transistors. Students design circuits using SPICE simulations.

Provides students with the experience of fabricating semiconductor devices. Students become versed in device fabrication techniques, and cleanroom theory used in the microelectronics industry. Required student activities include lab safety training, chemical handling, and operation of some cleanroom equipment. Also requires a lab report, demonstrating proper note taking techniques for scientific experiments.

Applications of multidimensional signal theory and Fourier analysis. Topics include review of signal processing tools and systems used in array imaging, including coherent receivers, pulsed and continuous wave signaling, temporal Doppler phenomenon, and monostatic, quasi-monostatic, bistatic transmitters/receivers, and 2-D signal processing; examining specific array imaging systems, including phased array imaging, synthetic aperture (SAR and ISAR) imaging, passive array imaging, and bistatic array imaging with emphasis on transmission imaging problems of diagnostic medicine and geophysical exploration.

This course covers the fundamentals of video communications. Examines multimedia streaming and compression concepts, video encoding and decoding, operational rate-distortion theory, video traffic models, quality-of-service, joint source-channel coding, error control, rate control, traffic shaping, transcoding, scalable video coding, cross-layer design, multi-user resource allocation and fairness, multiple description coding and path diversity, and dynamic adaptive streaming over HTTP.

Introduces the properties of electronic materials, with an emphasis on understanding the properties of the semiconductors that are important for modern microelectronics. The course begins with a brief review of concepts from classical physics and quantum mechanics, before going on to present the free-electron theory of metals, essentials of crystals structure, and the band theory of solids. This leads to the introduction of the concept of semiconductors, whose carrier statistics, doping, and bandstructure are then presented. The final section of the course focuses on reviewing the many applications of semiconductors to electronic and photonic technologies.

How can we provide clean, safe, sustainable energy supplies for the U.S. and world as a whole during the twenty-first century, despite rising population levels and increasing affluence? Examines current and potential energy systems, with special emphasis on meeting energy needs in a sustainable manner. Different renewable and conventional energy technologies will be presented and their attributes described within a global energy/environment system. Discusses political, social, and economic considerations on the development of sustainable energy/environment policies.

Topics include an introduction to lasers and photonics; a short review of electromagnetic theory; ray tracing and lens systems; polarization of light and polarization modulators; Gaussian beams and wave propagation; optical resonators and cavity stability; spontaneous emission, stimulated emission and absorption; rate equations for gain medium; population inversion; characteristics and applications of specific lasers; waveguides and fiber optics; fiber optic communications systems; electro-optic modulators; and acoustic-optic modulators. Requires students to complete a project focusing on the design of a laser system including choice of gain medium, cavity optics, pumping mechanism, power and efficiency estimates, and cost analysis. Requires reports and presentations.

Focuses on the analysis, design, simulation and mask-level chip layout of integrated analog circuits and systems. Begins with a brief review of MOSFET operation and large and small signal models. Much of the course involves designing and analyzing analog building blocks such as current mirrors, transconductance amplifiers, capacitors, multipliers, current mirrors and D/A and A/D circuits. Simultaneously, the course covers IC design and layout techniques and system analysis. It concludes by looking at sensor applications. Requires a final project consisting of a complete IC layout. Students may have the opportunity to fabricate their final project through MOSIS.

This course focuses on the following topics: Introduction to detection and estimation, classical decision theory M-ary and binary hypothesis, receiver operating characteristic, Bayes estimation, real parameter estimation, multiple parameter estimation, composite hypotheses, the general Gaussian problem, performance bounds, Orthogonal representations, Karkunen-Loeve expansion and integral equations, optimum linear time-varying filters, eigenvalues and eigen functions, spectral decomposition, communications system models, detection in AWGN, linear estimation, detection in NWGN, performance and solution techniques, and signals with unwanted parameters.

This course introduces the fundamentals of magnetism, and the properties of magnetic materials, before utilizing this understanding to discuss the applications of such materials to modern micro-electronics.