Graduate Program

The objective of this course is to present the fundamentals of electrical and electronic engineering to graduate students that may not have background or an undergraduate degree in electrical engineering.  Topics covered include KVL, KCL, resistive networks, AC circuits, transient analysis, frequency response, operational amplifiers, semiconductors, BJTs, FETs, digital logic, complex numbers, elemental signals, and discrete-time signals.

Location

(TR 4:50PM - 6:05PM)

This course provides a broad introduction to augmented and virtual reality (AR/VR) systems. The course involves lectures and workshops covering an overview of all aspects of the AR/VR domain, as well as an individual class project developing an AR/VR demonstration of an application chosen by each student. Topics covered in the lectures and class workshops include history, conceptual origins, and design/evaluation principles of AR/VR technologies; optical architectures; audio and visual perception; graphics and computation; data processing and machine intelligence; introduction to AR/VR developer tools; societal implications and ethical aspects. At the end of the course, students will have gained familiarity with the techniques, languages, and cultures of fields integral to the convergent research theme of AR/VR. This course includes workshops and project demonstrations in Studio X, as well as several guest lectures.

Location

(MW 2:00PM - 3:15PM)

This course primarily focuses on algorithms for large-scale optimization problems arising in machine learning and data science applications. The first part will cover first-order methods including gradient and subgradient methods, mirror descent, proximal gradient method, accelerated gradient method, Frank-Wolfe method, and inexact proximal point methods. The second part will introduce algorithms for nonconvex optimization, stochastic optimization, distributed optimization, manifold optimization, reinforcement learning, and those beyond first-order.

Location

(TR 9:40AM - 10:55AM)

The focus will be to provide background and insight into some of the most active security related research areas in the field of VLSI design methodologies, side-channel attacks and countermeasures, covert communication attacks and countermeasures, physical unclonnable functions, hardware Trojans, security versus power/performance/noise/area/cost tradeoffs for corresponding countermeasures, etc Prerequisites: Basic Undergraduate Math and Physics

Location

(MW 10:25AM - 11:40AM)

Review of modern solid-state electronic devices, their principles of operation, and fabrication. Solid state physics fundamentals, free electrons, band structure, and transport properties of semiconductors. Nonequilibrium phenomena in semiconductors. P-N junctions, Schottky diodes, field-effect, and bipolar transistors. Modern,high-performance devices. Ultrafast devices.

Location

(TR 2:00PM - 3:15PM)

The devices, circuits, and techniques of audio electronics are covered in this course. Included is a survey of small signal amplifier designs and small-signal analysis and characterization, operational amplifiers and audio applications of opamps, large-signal design and analysis methods including an overview of linear and switching power amplifiers. The course also covers the design of vacuum tube circuits, nonlinearity and distortion. Other important audio devices are also covered including microphones, loudspeakers, analog to digital and digital to analog converters, and low-noise audio equipment design principles.

Location

(MW 12:30PM - 1:45PM)

The devices, circuits, and techniques of audio electronics are covered in this course. Included is a survey of small signal amplifier designs and small-signal analysis and characterization, operational amplifiers and audio applications of opamps, large-signal design and analysis methods including an overview of linear and switching power amplifiers. The course also covers the design of vacuum tube circuits, nonlinearity and distortion. Other important audio devices are also covered including microphones, loudspeakers, analog to digital and digital to analog converters, and low-noise audio equipment design principles.

Location

(W 9:00AM - 11:40AM)

Various types of typical nanophotonic structures and nanomechanical structures, fundamental optical and mechanical properties: micro/nano-resonators, photonic crystals, plasmonic structures, metamaterials, nano-optomechanical structures. Cavity nonlinearoptics, cavity quantum optics, and cavity optomechanics. Fundamental physics and applications, state-of-art devices and current research trends. This class is designed primarily for graduate students. It may be suitable for senior undergraduates if they have required basic knowledge. This class is designed primarily for graduate students. It may be suitable for senior undergraduates if they have required basic knowledge

Location

(TR 11:05AM - 12:20PM)

This course covers the general foundations of time-frequency analysis and select applications in audio signal processing. Emphasis is placed on the extension of classical Fourier methods to non-stationary signals, including the short-time Fourier transform, constant Q and wavelet transforms, and associated filter bank models. The second half of the semester will focus on application specific representations including auditory filter banks, and other transforms relevant to the participants interests.

Location

(MW 10:25AM - 11:40AM)

This course covers the foundations of electroacoustics and acoustics relevant to sound capture and reproduction. Of special interest are topics in spatial sound field capture and reproduction, the creation of immersive audio environment, and applications to virtual and augmented reality.  Topics covered include: acoustic radiation from vibrating surfaces, radiation impedance, electro-mechano-acoustic circuits, loudspeaker design and characterization; the description, design and performance of microphones; the foundations of spatial audio capture, reproduction, and perception including the Kirchhoff-Helmholtz integral theorem and wave-field synthesis, solutions of the acoustic wave equation in spherical coordinates and ambisonics, and plane wave decomposition of acoustic fields and vector-based amplitude panning; microphone arrays for the capture of spatial audio and loudspeaker arrays for spatial control of acoustic radiation patterns; an introduction to the acoustics relevant to spatial audio perception including simple models of the interaction of acoustic waves with a listener’s head and torso, diffraction of sound by a sphere, and the measurement, modeling, measurement, and application of head-related transfer functions, the interaction of spatial audio systems with acoustic spaces and the loss of spatial audio perceptual cues. Course work will include a set of simulation and measurement projects assigned throughout the term and a final project.

Location

(MW 9:00AM - 10:15AM)

The goal of this course is to learn how to model, analyze and simulate stochastic systems, found at the core of a number of disciplines in engineering, for example communication systems, stock options pricing and machine learning. This course is divided into five thematic blocks: Introduction, Probability review, Markov chains, Continuous-time Markov chains, and Gaussian, Markov and stationary random processes.

Location

(MW 4:50PM - 6:05PM)

Analysis and design of discrete-time signals and systems, including: difference equations, discrete-time filtering, z-transforms, A/D and D/A conversions, mutli-rate signal processing, FIR and IIR filter design, the Discrete Fourier Transform (DFT), circular convolution, Fast Fourier Transform (FFT) algorithms, windowing, and classical spectral analysis.

Location

(MW 3:25PM - 4:40PM)

Analysis and design of discrete-time signals and systems, including: difference equations, discrete-time filtering, z-transforms, A/D and D/A conversions, mutli-rate signal processing, FIR and IIR filter design, the Discrete Fourier Transform (DFT), circular convolution, Fast Fourier Transform (FFT) algorithms, windowing, and classical spectral analysis.

Location

(F 2:00PM - 3:15PM)

This course will introduce the students to the basic concepts of digital image processing, and establish a good foundation for further study and research in this field. The theoretical components of this course will be presented at a level that seniors and first year graduate students who have taken introductory courses in vectors, matrices, probability, statistics, linear systems, and computer programming should be comfortable with. Topics cover in this course will include intensity transformation and spatial filtering, filtering in the frequency domain, image restoration, morphological image processing, image segmentation, image registration, and image compression. The course will also provide a brief introduction to python (ipython), the primary programming language that will be used for solving problems in class as well as take-home assignments. prerequisites: ECE 242 and ECE 440 & 446 are recommended or permission of instructor

Location

(MW 10:25AM - 11:40AM)

IThis course investigates the imaging techniques applied in state-of-the-art ultrasound imaging and their theoretical bases. Topics include linear acoustic systems, spatial impulse responses, the k-space formulation, methods of acoustic field calculation, dynamic focusing and apodization, scattering, the statistics of acoustic speckle, speckle correlation, compounding techniques, phase aberration correction, velocity estimation, and flow imaging. A strong emphasis is placed on readings of original sources and student assignments and projects based on realistic acoustic simulations.

Location

(TR 3:25PM - 4:40PM)

Classical computation models and complexity classes, linear algebra formulation of quantum mechanics, quantum computation models, qubits, quantum circuits, and quantum computation complexity classes, Glover's search and Shor's factorization quantum algorithms, adiabatic quantum computation.

Location

(MW 4:50PM - 6:05PM)

This is an introductory course on state-of-the-art radio engineering with an emphasis on digital implementation of software defined radio (SDR) systems. SDR utilizes cutting-edge digital technologies to enable versatile and agile RF and wireless devices for a wide range of applications, including 5G wireless communications and next-generation radars. The technology platform can also be applied to AI-related computing and instrumentation applications.

We begin with an overview of fundamental RF concepts and circuit techniques, followed by a discussion of several modern RF and wireless system architectures. Then we learn how to design basic RF circuits and subsystems using electronic design automation (EDA) tools. The main focus of the course is a project in which we design and implement an SDR using off-the-shelf RF components and an FPGA evaluation board. The project will be carried out in two phases: a) proposal and design, and b) build and tests. The course also covers RF test/measurement techniques related to the project. This project-based course will be structured in lectures and workshops in first 5 weeks, followed by the project in later 8 weeks.

Location

(TR 12:30PM - 1:45PM)

Introduction to high performance integrated circuit design. Semiconductor technologies. CMOS inverter. General background on CMOS circuits, ranging from the inverter to more complex logical and sequential circuits. The focus is to provide background and insight into some of the most active high performance related issues in the field of high performance integrated circuit design methodologies, such as CMOS delay and modeling, timing and signal delay analysis, low power CMOS design and analysis, optimal transistor sizing and buffer tapering, pipelining and register allocation, synchronization and clock distribution, retiming, interconnect delay, dynamic CMOS design techniques, power delivery, on-chip regulators, 3-D technology and circuit design, asynchronous vs. synchronous tradeoffs, clock distribution networks, low power design, and CMOS power dissipation.

Location

(TR 3:25PM - 4:40PM)

Introduction to high performance integrated circuit design. Semiconductor technologies. CMOS inverter. General background on CMOS circuits, ranging from the inverter to more complex logical and sequential circuits. The focus is to provide background and insight into some of the most active high performance related issues in the field of high performance integrated circuit design methodologies, such as CMOS delay and modeling, timing and signal delay analysis, low power CMOS design and analysis, optimal transistor sizing and buffer tapering, pipelining and register allocation, synchronization and clock distribution, retiming, interconnect delay, dynamic CMOS design techniques, power delivery, on-chip regulators, 3-D technology and circuit design, asynchronous vs. synchronous tradeoffs, clock distribution networks, low power design, and CMOS power dissipation.

Location

(W 3:25PM - 4:40PM)

Introduction to high performance integrated circuit design. Semiconductor technologies. CMOS inverter. General background on CMOS circuits, ranging from the inverter to more complex logical and sequential circuits. The focus is to provide background and insight into some of the most active high performance related issues in the field of high performance integrated circuit design methodologies, such as CMOS delay and modeling, timing and signal delay analysis, low power CMOS design and analysis, optimal transistor sizing and buffer tapering, pipelining and register allocation, synchronization and clock distribution, retiming, interconnect delay, dynamic CMOS design techniques, power delivery, on-chip regulators, 3-D technology and circuit design, asynchronous vs. synchronous tradeoffs, clock distribution networks, low power design, and CMOS power dissipation.

Location

(W 11:50AM - 12:40PM)

The course provides an introduction to modern machine learning concepts, techniques, and algorithms. Topics discussed include regression, clustering and classification, kernels, support vector machines, feature selection, goodness of fit, neural networks. Programming assignments emphasize taking theory into practice, through applications on real-world data sets. Students will be expected to work with Python programming environment to complete the assignments. 

Location

(TR 2:00PM - 3:15PM)

Circuitry, algorithms, and architectures used in analog and mixed-mode CMOS integrated circuits. Switched-capacitor (SC) elements, amplifier stages, and filters. Other SC circuits: S/H stages, comparators, PGAs, oscillators, modulators, voltage boosters, and dividers, Non-ideal effects in SC circuits, and correction techniques. Low-voltage SC design. Nyquist-rate data converter fundamentals; SC implementations of DACs and ADCs. Oversampling (delta-sigma) data converters: fundamentals and implementations.

Location

(TR 11:05AM - 12:20PM)

This is a hands-on course that teaches how signal-processing may be used to alter the temporal and tonal characteristics of audio signals. Topics may include sampling, quantization, modulation effects, filters, delay-line-based effects, audio synthesis, non-linear effects, and spectral processing. An emphasis will be placed on developing algorithms that are optimized for real-time processing on embedded hardware. Students will develop and visualize algorithms in MATLAB, and implement them on the SHARC Audio Module DSP platform. 

Location

(TR 12:30PM - 1:45PM)

This is a hands-on course that teaches how signal-processing may be used to alter the temporal and tonal characteristics of audio signals. Topics may include sampling, quantization, modulation effects, filters, delay-line-based effects, audio synthesis, non-linear effects, and spectral processing. An emphasis will be placed on developing algorithms that are optimized for real-time processing on embedded hardware. Students will develop and visualize algorithms in MATLAB, and implement them on the SHARC Audio Module DSP platform. 

Location

(T 2:00PM - 3:15PM)

This is a hands-on course that teaches how signal-processing may be used to alter the temporal and tonal characteristics of audio signals. Topics may include sampling, quantization, modulation effects, filters, delay-line-based effects, audio synthesis, non-linear effects, and spectral processing. An emphasis will be placed on developing algorithms that are optimized for real-time processing on embedded hardware. Students will develop and visualize algorithms in MATLAB, and implement them on the SHARC Audio Module DSP platform. 

Location

(R 2:00PM - 3:15PM)

The course is intended to provide students a basic understanding of the creation and implementation all audio assets for a provided video game. Demonstrations and hands-on experience will enable students to gain a practical working knowledge of the integration of sound and music into games using middleware.

Gameplay and roundtable discussions of several styles of games, along with a field trip to the Strong National Museum of Play will foster critical analysis.

Students will primarily work with Wwise, Reaper, Pro Tools, and Logic Pro. Topics will include sound effect creation, foley, dialog recording and editing, soundtrack composition for interactive, and working within a game environment.

The course will also feature guest lectures by industry leading professionals, who will share their experience and insights. Supplementary software discussed will include Unreal and Nuendo.

Location

(MW 3:25PM - 4:40PM)

This course is a sequel to SAE262/ECE475/TEE475 Audio Software Design I. The first part of the course will explore designing audio plug-ins with Faust (Function AUdio STream), which is a high-level functional programming language designed for real-time audio digital signal processing (DSP) and sound synthesis. Students will learn how to design plug-ins for Pro Tools, Logic and other digital audio workstations (DAWs). The second part of the course will focus on audio programming for iOS apps in Swift, which is the new programming language for iOS and OS X. Students will learn how to make musical apps with the sound engine libpd, which turns Pure Data (Pd) into an embeddable library. A special topic will introduce audio programming for video games with Wwise and FMod.

Location

(TR 10:25AM - 11:40AM)

This course is a sequel to SAE262/ECE475/TEE475 Audio Software Design I. The first part of the course will explore designing audio plug-ins with Faust (Function AUdio STream), which is a high-level functional programming language designed for real-time audio digital signal processing (DSP) and sound synthesis. Students will learn how to design plug-ins for Pro Tools, Logic and other digital audio workstations (DAWs). The second part of the course will focus on audio programming for iOS apps in Swift, which is the new programming language for iOS and OS X. Students will learn how to make musical apps with the sound engine libpd, which turns Pure Data (Pd) into an embeddable library. A special topic will introduce audio programming for video games with Wwise and FMod.

Location

(F 10:25AM - 11:40AM)

Computer audition is the study of how to design a computational system that can analyze and process auditory scenes. Example problems in this field include source separation (splitting audio mixtures into individual source tracks), pitch estimation (estimating the pitches played by each instrument), timbre modeling (finding features to distinguish different kinds of instruments), and source localization (finding where the sound comes from). This course will cover both fundamentals and state-of-the-art research in this field, which applies various kinds of signal processing and machine learning techniques. Multiple programming assignments will help students practice what they learn, and a final research project will lead students through the entire research process.

Location

(TR 12:30PM - 1:45PM)

Time series analysis is a valuable data analysis technique in a variety of industrial (e.g., prognostics and health management), business (e.g., financial data analysis) and healthcare (e.g., disease progression modeling) applications. Moreover, forecasting in time series is an essential component of predictive analytics. The course will begin with an introduction to practical aspects relevant to time series data analysis such as data collection, characterization, and preprocessing. Topics covered will include smoothing methods (moving average, exponential smoothing), trend and seasonality in regression models, autocorrelation, AR and ARIMA models applied to time series data. Deep learning models including feedforward, recurrent, gated and convolutional architectures will also be studied. Students shall work on projects with time-series data sets using modeling tools in Python.

Location

(TR 11:05AM - 12:20PM)

The objective of this course is to present the function of clinical imaging to the graduate student who may not have a background in clinical imaging.   The focus will be on immersion in the modalities of Ultrasound(US) and Magnetic Resonance Imaging (MRI) and their use in the clinical practice of radiology.  Topics covered include US use in Body, Breast, and Musculoskeletal Imaging diagnosis, and  MRI use in Abdomen, Cardiac, Neuroroadiology, Breast and Musculoskeletal diagnosis.

This will include a hybrid approach of in-person observation in radiology reading room, on-line assignments, and on-line assessments

Location

(TR 9:40AM - 10:55AM)

This course introduces engineering students to the fundamental principles of entrepreneurship, focusing on transforming technical ideas into real-world solutions that address people’s needs. It emphasizes practical skills such as identifying potential users, understanding their challenges, and developing solutions that align with those needs. Students will learn how to communicate the value of their ideas effectively, explore different approaches to delivering their solutions, and understand what it takes to sustain and support them over time.

The course also covers essential aspects such as gathering the necessary tools and resources, organizing key tasks, and collaborating with others to move an engineering solution toward commercialization. Students will explore the importance of evaluating and refining early versions of their solutions, securing support for their work, and protecting their ideas. Through discussions, case studies, and projects, students will develop a broader problem-solving perspective, preparing them to create impact beyond the technical design of a product.

Location

(MW 4:50PM - 6:05PM)

Introduction to modern microfabrication processes and engineering, including the design and fabrication of integrated circuit chips. Topics include design, lithography, thin film deposition, etching, characterization, and packaging. MOSFET transistors will be fabricated and characterized in the laboratory setting.

Location

(MW 12:30PM - 1:45PM)

Introduction to modern microfabrication processes and engineering, including the design and fabrication of integrated circuit chips. Topics include design, lithography, thin film deposition, etching, characterization, and packaging. MOSFET transistors will be fabricated and characterized in the laboratory setting.

Location

(F 2:00PM - 5:00PM)

This course is for master's students that have made arrangements with a faculty member to complete readings and discussion in a particular subject in their field of study.

Location

( 7:00PM - 7:00PM)

This course is for master's students that have made arrangements with a faculty member to complete readings and discussion in a particular subject in their field of study.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master’s students with the opportunity to conduct, develop, and refine their research projects. Students will engage in research relevant to their field of study and make progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

No description

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

This course provides PhD students with fewer than 90 credits the opportunity to conduct, develop, and refine their doctoral research projects. Students will engage in research relevant to their field of study and make progress toward completing their dissertations.

Location

( 7:00PM - 7:00PM)

No description

Location

(W 11:50AM - 1:05PM)

This course provides master's students the opportunity to work on their dissertation. Students will make progress toward completing degree requirements.

Location

( 7:00PM - 7:00PM)

This course provides master's students who are currently completing their final required coursework, or with special circumstances like an approved reduced courseload, with the opportunity to work full-time on their degrees. Students will make significant progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master's students who are currently completing their final required coursework, or with special circumstances like an approved reduced courseload, with the opportunity to work full-time on their degrees while studying in absentia. Students will make significant progress toward completing their degrees.

Location

( 7:00PM - 7:00PM)

This course provides master's students the opportunity to work full-time on their dissertation. Students will make significant progress toward completing degree requirements.

Location

( 7:00PM - 7:00PM)

This course affords graduate students visiting the University of Rochester full-time student status. Visiting students will engage in research, discussion, and/or professional training in partnership with an academic department or faculty member.

Location

( 7:00PM - 7:00PM)

This course affords graduate students visiting the University of Rochester part-time student status. Visiting students will engage in research, discussion, and/or professional training in partnership with an academic department or faculty member.

Location

( 7:00PM - 7:00PM)

This course provides PhD students the opportunity to work on their dissertation. Students will make progress toward completing degree requirements.

Location

( 7:00PM - 7:00PM)

This course provides PhD students the opportunity to work full-time on their dissertation. Students will make significant progress toward completing degree requirements.

Location

( 7:00PM - 7:00PM)