ENGR 5311 – Professional Communication and Information Management 

Development of the advanced communication skills as well as information management required of engineers and engineering managers in industry, government, and business. The design and writing of technical reports, articles, proposals and memoranda that address the needs of diverse organizational and professional audiences; the preparation and delivery of organizational and technical oral and multimedia presentations and briefings; team building skills with an emphasis on communications; and knowledge management.   

ENGR 5312 – Engineering Project Planning and Management 

The methodology for managing engineering projects; including project lifecycle, strategic planning, budgeting, and resource scheduling. Also, work estimating, evaluating risk, developing the project team, project tracking and performing variance analysis. Case studies are used as class and homework assignments to focus the class on the topics presented. 

ENGR 5314 – Advanced Engineering Mathematics 

Advanced math topics including Laplace, Fourier and z-Transform methods, probability theory, ordinary differential equations and systems of ODEs, partial differential equations, vector calculus, elements of statistics, linear and non-linear optimization, matrix theory, and special functions like Bessel, Legendre, and gamma. This course is set up as modules. Students will be required to complete certain modules depending on their background and concentrations. 

BME 5000 – Physiological Systems I 

Eleven major human organ systems are covered in this course, including: integumentary, endocrine, lymphatic, digestive, urinary, reproductive, circulatory, respiratory, nervous, skeletal, and muscular. 

BME 5020 – Clinical Engineering Fundamentals  

Provides the fundamental concepts involved in managing medical technology, establishing and operating a clinical engineering department, and the role of the clinical engineering designing facilities used in patient care. Topics covered include managing safety programs, technology assessment, technology acquisition, the design of clinical facilities, personnel management, budgeting and ethical issues of concern to the clinical engineer. 

BME 5030 – Human Error & Medical Device Accidents  

Basic principles needed to analyze medical devices, medical device users, medical device environments and medical device accidents. It particularly focuses on human factors engineering as an important step to minimizing human error. The role of medical device manufacturers, medical device regulators and medical device owners are examined to identify their role in reducing medical device use errors and medical device accidents. The nature and types of human error as well as a taxonomy of medical device accidents are presented. Investigative techniques involving root cause analysis and failure modes and effects analysis are taught and applied to industrial and medical device accidents. Operating room fires, electrosurgical and laser burns, anesthesia injuries, infusion device accidents, catheters and electrode failures and tissue injury in the medical environment are in detail. A semester project will require the student to employ these tools and techniques to analyze a medical device accident. 

BME 5040 – Medical Instrumentation in Hospital  

This course will examine current major technologies in use by healthcare practitioners. It will review the physiological principles behind each technology, the principles of operation, major features, methods for testing and evaluating each technology and will highlight available versions of the devices on the market today. Technologies to be covered will be selected from anesthesia equipment, surgical and ophthalmic lasers, cardiac assist devices, surgical and endoscopic video systems, radiographic and fluoroscopic devices, CT, MRI, ultrasound imaging equipment, radiation therapy, nuclear medicine, clinical chemistry analyzers, spectrophotometers and hematology analyzers. Course is based on one text, selected manufacturers training documents as well as journal articles from current medical publications. Grading will be based on exams, quizzes, a semester project and class participation. Several classes will take place on site in Hartford area hospitals in order to observe and examine the equipment being discussed. 

BME 5050 – Engineering Problems in Hospitals  

Covers engineering solutions to problems that are found in the healthcare environment. Includes a wide variety of topics such as electrical power quality of and the reliable operation of high tech medical equipment, electrical safety in the patient care environment, electromagnetic compatibility of various medical devices and electromagnetic interference, radiation shielding and radiation protection, medical gas systems, medical ventilation systems and indoor air quality, fire protection systems required in the hospital, project management, functionality and design implications of emerging technologies, and hospital architecture and the design of patient care facilities. 

BME 5070 – Clinical Systems Engineering  

Primarily covers medical device connectivity and interoperability. This includes connecting medical devices to the hospital computer network to pass data to the patient medical record or to other medical devices for the purpose of feedback and control. The course will cover basic networking concepts, hospital network architecture, medical systems security and risk management, the role of interconnecting middleware, HL7 and DICOM data standards, moving data on the network, clinical information systems, digital imaging and image storage systems, medical device plug-and-play concepts, and a medical device integration project walkthrough. 

BME 5080 – Medical Device Cybersecurity 

Today’s medical devices are increasingly complex, integrated, and ubiquitous. However, these same characteristics increasingly expose medical devices to a growing number of cyber security risks. Compounding the challenge, safeguards that are appropriate for traditional IT equipment cannot easily be applied to medical devices. This course is designed to provide health technology professionals with an overview of the challenges and foundational knowledge on the topic of medical device security. The course will also offer specific guidance, skill sets, and tools appropriate for those professionals that can be used in mitigating security risks that exist in the expanding medical device ecosystem. 

BME 5100 – Physiological Modeling  

Unified study of engineering techniques and basic principles in modeling physiological systems. Focuses on membrane biophysics, biological modeling, and systems control theory. Significant engineering and software design is incorporated in homework assignments using MATLAB and SIMULINK. 

BME 5320 – Biosensors and Nanodevices for Biomedical Applications  

Current and emerging technologies in biosensors for biomedical applications. Topics include principles of molecular and bio/chemical sensing, techniques for sensor integration, nano/micro electro mechanical systems (NEMS/MEMS) technologies used in biosensors, and commercial/clinical applications of biosensors. 

BME 5500 – Clinical Instrumentation Systems  

Analysis and design of transducers and signal processors; measurements of physical, chemical, biological, and physiological variables; special purpose medical instruments, systems design, storage and display, grounding, noise, and electrical safety. These concepts are considered in developing devices used in a clinical or biological environment. 

BME 5600 – Human Biomechanics  

Applies principles of engineering mechanics in the examination of human physiological subsystems such as the musculoskeletal system and the cardiovascular system. Topics drawn for biosolid mechanics, biofluids, and biodynamics, the viscoelastic modeling of muscle and bone, non-Newtonian fluid rheology, blood flow dynamics, respiratory mechanics, biomechanics of normal and impaired gait, and sport biomechanics. 

BME 5630 – Multiphysics Finite Element Analysis   

Fundamentals of the finite element method (FEA) via hands-on experience of solving typical design problems in the multidisciplinary field of biomedical engineering, including mechanical structures, heat transfer, fluid flow and electrical field distribution. Emphasizes basic mathematical and physical principles underlying the FEA, general procedure of identifying and solving engineering problems using COMSOL Multiphysics FEA software, interpretation of FEA analysis results and evaluation of the quality of the numerical solution. Students are expected to demonstrate a basic understanding of the concepts and mathematical formulation of FEA, and possess the ability to apply FEA procedures in biomedical problems and technology development. 

BME 5700 – Biomaterials and Tissue Engineering  

A broad introduction to the field of biomaterials and tissue engineering. Presents basic principles of biological, medical, and material science as applied to implantable medical devices, drug delivery systems and artificial organs. 

BME 6810 – Machine Learning Methods for Biomedical Signal Analysis 

Acquire the basic machine learning concepts and tools that are necessary in modern biomedical engineering to model, analyze, and classify physiological time series. Specific focus is on multivariate data and time series extracted from multiple physiological sources, including (but not limited to) ECG, EEG, and EMG. Through a mix of lectures and hands-on laboratory experiences, the students will learn how to design and implement machine learning projects and how to use advanced statistical tools and methods to classify data, infer predictions, and validate data-driven predictive models. 

CE 5122 – Advanced Mechanics of Materials   

Stress and strain, combined stress, and theories of failure. Torsion of non-circular sections. Shear center, unsymmetrical bending, curved flexural members, and beams on elastic foundations. Energy methods. Plane theory of elasticity, plate bending, and pressurized cylinders. 

CE 5128 – Elastic Stability  

Buckling of elastic and inelastic columns; lateral buckling of beams; buckling of plates, rings and tubes; stability of frames. 

CE 5150 – Structural Vibrations  

Vibrating systems; application to design; discrete and continuous systems, free and forced vibrations; response to periodic and non-periodic loads; analytical and numerical techniques; earthquake loading; response spectra. 

CE 5151 – Experimental Structural Dynamics  

Characteristics of random data; vibration test hardware; data acquisition and analysis; and experimental modal analysis and system identification. Laboratory experiments will be used to enhance understanding of taught concepts. 

CE 5163 – Fracture Mechanics  

Focuses on fundamental concepts and applications of fracture mechanics. Topics include linear elastic fracture mechanics, elastic plastic fracture mechanics, computational fracture mechanics, fracture mechanisms in metals and non-metals, fracture testing, dynamic and time-dependent fracture, fatigue crack growth, interfacial fracture, fracture in advanced materials, and engineering applications. 

CE 5164 – Finite Element Methods in Applied Mechanics I   

Formulation of finite elements methods for linear static analysis. Development of two and three dimensional continuum elements, axisymmetric elements, plate and shell elements, and heat transfer elements. Evaluation of basic modeling principles including convergence and element distortion. Applications using commercial finite element programs. 

CE 5166 – Finite Element Methods in Applied Mechanics II  

Formulation of finite elements methods for modal and transient analysis. Development of implicit and explicit transient algorithms. Stability and accuracy analysis. Formulation of finite element methods for material and geometric nonlinearities. Development of nonlinear solution algorithms. Applications using commercial finite element code. 

CE 5380 – Bridge Structures  

Common types of bridges; AASHTO bridge loads; design of composite plate girders; fatigue; design of bridge substructure; design project. 

CE 5383 – Design of Bridges for Extreme Events  

Highway bridges; AASHTO LRFD Bridge Design Specifications; seismic design; force-based and displacement-based design methods; vessel collision, truck collision, and ice loading. Bachelor’s degree in civil engineering or relevant work experience is required for this course. 

CE 5384 – Accelerated Bridge Construction  

Common ABC methods and technologies; prefabricated bridge elements; bridge systems including Self-Propelled Modular Transporters (SPMTs) and Lateral Slide Bridge Construction; construction methods and planning. 

CE 5610 – Advanced Reinforced Concrete Structures  

Behavior and design of reinforced concrete for flexure, shear, torsion, bond, and axial loads; two way slabs; beam-column joints; general flexure theory; seismic considerations; review of design specifications. 

CE 5640 – Prestressed Concrete Structures  

Analysis, design, and behavior of pretensioned and post-tensioned concrete; simple and continuous span structures; time dependent behavior; review of design specifications. 

CHEG 5001 – Advanced Chemical Engineering Fundamentals  

This course will provide graduate-level introduction to thermodynamics, transport phenomena, and kinetics within the context of chemical engineering applications. Primary attention will be paid to developing an understanding of the fundamentals of each of these topic areas. As the course progresses, integration and application of thermodynamics, transport phenomena, and reaction kinetics will be discussed. 

CHEG 5301 – Chemical Engineering Thermodynamics  

An advanced study of classical thermodynamics with emphasis on phase and chemical equilibria and applications to the chemical process industries. Kinetic theory and statistical thermodynamics with emphasis on the prediction and correlation of physical and chemical properties of gases and liquids, including mixtures. Theory and application of flames, plasmas, and shock waves. 

CHEG 5315 – Transfer Operations I  

An advanced study of momentum, heat and mass transfer with application to complex problems. Cartesian tensors, non-Newtonian flow, statistical theory of turbulence. Mass transfer in multicomponent systems and with chemical reaction. Mass transfer in drops and bubbles; two-phase flow and fluidization. 

CHEG 5321 – Reaction Kinetics I  

Chemical kinetics and reactor design. An advanced study of chemical reaction engineering with emphasis on catalysis. Applications to stirred-tanks, fixed-bed, and fluidized bed reactors. 

CHEG 5323 – Surface Chemistry and Heterogeneous Catalysis  

Quantum Mechanics, Physical Chemistry. Grading Basis: Graded The course will serve as an in-depth introduction to heterogeneous catalysis from a surface chemistry perspective. The course will cover topics of modern catalysis as well as the fundamental physics, chemistry, and engineering of catalysis and catalytic reactors. 

CHEG 5330 – Applied Machine Learning in Chemical Engineering  

This course is an applied machine learning algorithms course tailored for the chemical/process engineers. The focus of this course from is on case studies and real-world examples seen by chemical engineers. The course will include exposure to machine learning, data science & analytics, and big data in a chemical engineering context. Students are taught to identify descriptors, and predict and optimize system properties using a machine learning approach. 

CHEG 5333 – Computer Simulation in Chemical Engineering  

Learning and applying modern tools for computer simulation of chemical engineering processes. Covers the basic equations required to simulate generic types of processes and interactive Computer Labs where we solve examples from the course textbook. You will integrate theory with modeling, determine other solutions and find bugs, and identify inaccuracies or problems in the proposed solution. Short introductions to the Interface of each Software (Aspen Plus, Matlab, Comsol) will be given. The Computer Labs structure will be based on a step-by-step solution of chemical engineering problems. Will work with PowerPoint slides to perform a step for a simulation, while working with the instructor to ensure understanding before proceeding to the next slide. 

CHEG 5339 – Uncertainty Analysis, Robust Design, and Optimization  

(Also offered as SE 5102.) Provides students with a thorough understanding of mathematical optimization and uncertainty analysis for the robust design of cyber-physical systems. Topics include optimization theory and practice, uncertainty modeling, sensitivity analysis, and formal and classical model-based robust design methodologies. 

CHEG 5341 – Fuel Processing  

Concepts and principles of energy and fuel resources, production and processing by applying energy and mass balances. Fundamentals of fuels processing in refinery and biorefinery processes and industrial (catalytic and non-catalytic) processes by constructing and analyzing systems level flow diagrams. Develop, solve and analyze chemical engineering systems and processes by applying fundamental concepts of thermodynamics and reaction kinetics as well as fundamental concepts from physics, biology, chemistry and mathematics. Analyze, propose solutions and present modern challenges in chemical engineering processes which involve fuel processing. 

CHEG 5373 – Biochemical Engineering  

Principles and design of processes involving biochemical reactions. Nature of biological materials, biochemical kinetics, heat and mass transfer, application to fermentation and other biological processes. 

CHEG 5376 – Bioseparations 

Introduction to bioseparations, review of mass transport, adsorption, chromatography, filtration, extraction, electrophoresis, and field flow fractionation. 

CSE 5050 – Algorithms & Complexity 

Design and analysis of efficient computer algorithms. Algorithm design techniques, including divide-and-conquer, depth-first search, and greedy approaches. Worst-case and average-case analysis. Models of computation. NP-complete problems. 

CSE 5309 – Network Embedded Systems 

Introduction to the design, analysis and implementation of networked embedded systems that interact with the physical environment. Applications of such systems include environmental monitoring, consumer electronics, medical devices, automotive systems, industrial process control, distributed robotics, and smart structures. Topics covered include concepts, technologies and protocols for low-power and resource-restricted wireless networks; models of computation and physical systems; embedded system architectures; and real-time system concepts, theory and design principles. 

CSE 5312 – Architecture of Internet of Things  

This course is designed to provide students and professional engineers with a thorough understanding of the design, development, validation and evaluation of IoT systems, especially in industrial domains with stringent timing and performance requirements. The student will develop skills in specifying the requirements for the target IoT systems, selecting the appropriate hardware and software platforms, and validating and evaluating the system performance. Special emphasis will be placed on the semester-based industrial projects that will be designed from selected industrial domains to address real-life problems. 

CSE 5500 – Algorithms  

Introduction to the design and analysis of algorithms. The course will discuss fundamental design techniques and related issues such as amortized analysis, linear programming, network flow, NP-Completeness, approximation algorithms, randomized algorithms, advanced data structures, and parallel algorithms. 

CSE 5503 – Theory of Computation  

Formal models of computation, such as finite state automata, pushdown automata, and Turing machines, and their corresponding elements in formal languages (regular, context-free,recursively enumerable). The complexity hierarchy. Church’s thesis and undecidability. NP completeness. Theoretical basis of design and compiler construction. 

CSE 5520 – Data Visualization & Communication 

This course will focus on fundamental theory and practice of data visualization and communication. Topics to be covered include different data types, algorithms for data visualization, design of effective visualization for analysis and communication, exploratory and explanatory data analysis (for discovery of new information, detecting flaws, etc.), using data visualization to convey different messages, existing tools for data visualization, and making presentations with data. Several case studies, such as engineering, economics, or health, will be discussed. 

CSE 5713 – Data Mining 

Introduction to data mining algorithms and their analysis. Application of and experimentation with data mining algorithms on real-world problems and domains, with a dual focus on addressing the solution quality issue and the time efficiency issue. 

CSE 5717 – Big Data Analytics 

Focuses on data science and big data analytics. Introduces basic concepts of data science and analytics. Different algorithmic techniques employed to process data will be discussed. Specific topics include: Parallel and out-of-core algorithms and data structures, Rules mining, Clustering algorithms, Text mining, String algorithms, Data reduction techniques, and Learning algorithms. Applications such as motif search, k-locus association, k-mer counting, error correction, sequence assembly, genotype-phenotype correlations, etc. will be investigated. 

CSE 5819 – Intro to Machine Learning 

An introduction to the basic tools and techniques of machine learning, including models for both supervised and unsupervised learning, related optimization techniques, and methods for model validation. Topics include linear and logistic regression, SVM classification and regression, kernels, regularization, clustering, and on-line algorithms for regret minimization. 

CSE 5820 – Machine Learning 

Reinforcement learning (RL) is a powerful paradigm for autonomous systems to learn to make decisions, and it is relevant to an enormous range of tasks, including robotics, game playing, consumer modeling and healthcare. This class will provide a solid introduction to the field of reinforcement learning and students will learn about the core concepts, design principles, widely used algorithms, RL with functional approximation, and generalization of RL. Through a combination of lectures, literature review, and written and coding assignments, students will become well versed in key ideas and techniques for RL including basics of reinforcement learning as well as deep reinforcement learning — an area that combines deep learning techniques with reinforcement learning. 

CSE 5835/5602 – Machine Learning Physical Science & Systems 

Foundational knowledge in applied aspects of machine learning, including methods for handling small, noisy, and imbalanced data; feature selection and representation learning; model selection and assessment; interpretable machine learning; and uncertainty quantification. Students will also gain exposure to state-of-the-art research in scientific machine learning, including applications to data-driven learning of dynamical systems and self-driving labs. Topics will be discussed in the context of recent advances in machine learning for materials, chemistry, and physics applications, with an emphasis on unique opportunities and challenges at the intersection of machine learning and science. 

CSE 5850 – Intro to Cybersecurity 

Introductory to the area of cyber-security. The course focuses on applied cryptography, and some of its applications and related areas in cyber security, including network and web security, usable security, privacy/anonymity, and block-chains. The course is systems-oriented; we will discuss many practical vulnerabilities, attacks and defenses. However, esp. in the beginning, we will also learn some theory – mainly, few definitions, and (fewer) proofs. 

ECE 5101 – Introduction to System Theory 

Modeling and analysis of linear systems. Introduction to functions of a complex variable. Linear algebra with emphasis on matrices, linear transformations on a vector space, and matrix formulation of linear differential and difference equations. State variable analysis of linear systems. Transform methods using complex variable theory, and time-domain methods including numerical algorithms. 

ECE 5151 – Underwater Acoustics and Sensing Systems 

The fundamentals of ocean acoustics, including the acoustic wave equation, ray theory, acoustic arrays and filters, ambient noise, scattering, absorption, an introduction to normal mode theory, and sonar equations. Computer simulation emphasizes acoustic ray tracing and propagation loss predictions. 

ECE 5510 – Power System Analysis 

Fundamentals of power system planning, operation, and management. Power generation and distribution. Modeling of AC generator, AC and DC motors, transformer and cable. Power flow solution. Modern power system monitoring/control, fault analysis, and transient stability analysis using computer tools. Use of power system simulation tools for power system planning and design. 

ECE 5512 – Power Distribution 

Principles of distribution system planning, automation and real-time operation with applications. Concepts of AC/DC Electricity. Three-phase power distribution as well as DC and Hybrid circuits. Load flow calculations, fault analysis, and reliability evaluation. Distributed power resources. Distribution system protection and reconfiguration. Smart distribution technologies. Efficient and resilient energy utilization. 

ECE 5520 – Power Electronics 

Advanced converter and inverter topologies for high efficiency applications. Non-ideal component characteristics. Necessary components such as gate drive circuits and magnetic component design (that are not covered in introductory power electronics courses). 

ECE 5530 – Modeling & Control of Electric Drives 

Several topics related to modeling and control of electric drives. Fundamental equations related to inductance and flux variations in a rotating machine, leading to torque production. Reference frame theory and transformations for modeling purposes. Dynamic models of three-phase induction and permanent-magnet synchronous machines. Basic modeling of power electronic converters for electric drives, with focus on three-phase DC/AC inverters. Various control strategies with focus on vector control and different power electronic switching schemes in electric drives. 

ECE 5540 – Electrical System Protection 

Methods to sense voltage and current in medium and low voltage applications. Voltage sensing techniques include differential voltage amplifiers, shunt voltage measurement, and potential transformers. Current sensing techniques include current transformers, Rogowski coils, series voltage measurement, and Hall-effect sensors. Solid-state and mechanical relays and timing functions. Fuses and circuit breakers at medium voltage levels with focus on ratings, application-specific selection, and response time. Protection methods, e.g. differential protection, of transformers, generators, and cables with focus on distance relays and specialized devices. 

ECE 5550 – Microgrids  

Advanced modeling, control, resilience and security technologies useful for the grid modernization from a unique angle of microgrid design, analysis and operation. Smart inverters, microgrid architectures, distributed energy resources modeling, microgrid hierachical control, microgrid stability, fault management, resilient microgrids through programmable networks, reliable networked microgrids, and cyber security. 

ECE 5552 – Communication Systems for Smart Grids  

Analysis and design of communications systems to support emerging smart power systems, including transmission and distribution grids. Topics include communication system concepts and principles, control and communication system enhancements, smart grid architecture and applications with different requirements, wide area network (WAN) and field area network (FAN) technologies and data management, smart grid security assessment with operational technologies, robust advanced metering infrastructure (AMI) applications in communication networks design. 

ECE 5554 – Distribution Management Systems 

Role of Distribution Management Systems (DMS) in smart distribution, standards and regulations, static and dynamic models, advanced DMS applications (topology processor, Volt/VAR control, fault detection, isolation, restoration, state estimation, three-phase power flow, short circuit analysis, feeder reconfiguration, optimal capacitor placement, protection coordination, maintenance and outage planning), power quality analysis, electric vehicle charging/discharging, active distribution network under high penetration of distributed energy resources (DERs), aggregation of DERs for DERMS. 

ECE 6111 – Applied Probability 

Statistical methods for describing and analyzing random signals and noise. Random variables, conditioning and expectation. Stochastic processes, correlation, and stationarity. Response of linear systems to stochastic inputs. Applications. 

ECE 6122 – Digital Signal Processing 

Discrete-time signals and systems. The z-transform. The Discrete Fourier Transform (DFT). Convolution and sectioned convolution of sequences. IIR and FIR digital filter design and realization. Computation of the DFT: The Fast Fourier Transform (FFT), algorithms. Decimation and interpolation. Parametric and nonparametric spectral estimation. Adaptive filtering. Finite word length effects. 

ECE 6141 – Neural Networks Class & Optimization 

This course provides students with an understanding of the mathematical underpinnings of classification techniques as applied to optimization and engineering decision-making, as well as their implementation and testing in software. Particular attention is paid to neural networks and related architectures. The topics include: Statistical Interference and Probabilty Density Estimation, Single and Multi-layer Perceptions, Radial Basis Functions, Unsupervised Learning, Preprocessing and Feature Extraction, Learning and Generalization, Decision Trees and Instance-based Classifiers, Graphical Models for Machine Learning, Neuro-Dynamic Programming. 

ECE 6171 – Mobile Robotics 

Coordinate transformation, kinematics and dynamics, sensor modeling, specifics of camera sensors, inertial measurement unit (IMU) sensor, simultaneous localization and mapping (SLAM), EKF-SLAM, Monte Carlo localization, SLAM observability, robot control, specifics of vision-based control, and aspects of Human-robot interaction; class project with a project report. 

ECE 6437 – Computational Methods for Optimization 

Computational methods for optimization in static and dynamic problems. Ordinary function minimization, linear programming, gradient methods and conjugate direction search, nonlinear problems with constraints. Extension of search methods to optimization of dynamic systems, dynamic programming. 

ECE 6439 – Estimation theory & Computational Algorithms 

Estimation of the state and parameters of noisy dynamic systems with application to communications and control. Bayesian estimation, maximum-likelihood and linear estimation. Computational algorithms for continuous and discrete processes, the Kalman filter, smoothing and prediction. Nonlinear estimation, multiple model estimation, and estimator Kalman, multiple model estimation, and estimator design for practical problems. 

ENVE 5210 – Environmental Engineering Chemistry I  

Quantitative treatment of chemical behavior in environmental systems. Thermodynamics and kinetics of acid/base, complexation, precipitation/dissolution, sorption and redox reactions; degradation and partitioning of organic contaminants; software for speciation and partitioning computation. 

ENVE 5240 – Biodegradation and Bioremediation  

Biochemical basis of the transformation of key organic and inorganic pollutants; quantitative description of kinetics and thermodynamics of pollutant transformation; impact of physiochemical and ecological factors on biotransformation. 

ENVE 5252 – Environmental Remediation  

Regulatory framework. Soil clean-up criteria. Risk analysis. In situ and ex situ Treatment technologies: chemical oxidation, chemical reduction, pump-and-treat, permeable reactive barriers, solidification, stabilization, thermal processes, bioremediation. 

ENVE 5310 – Environmental Transport Phenomena  

Development and solutions of partial differential equations describing diffusion, advection, and sources/sinks common to transport of mass, energy, and momentum. Mass sources/sinks used to describe sorption and chemical reaction. Extension to dispersion and turbulent mixing. Applications to predicting the movement of environmental contaminants. 

ENVE 5311 – Environmental Biochemical Processes  

Major biochemical reactions; stoichiometric and kinetic description; suspended and attached growth modeling; engineered biotreatment systems for contaminant removal from aqueous, gaseous, and solid streams; process design. 

ENVE 5320 – Quantitative Methods for Engineers  

Topics on data analysis: random variables and probability distributions, parameter estimation and hypothesis testing, simple and multiple regression; Monte Carlo simulation; autoregression and models for time series; analytical solutions of ordinary and partial differential equations; Fourier series; numerical solutions of ordinary differential equations; solution of partial differential equations with finite differences; basics of modeling. 

ENVE 5330 – Probabilistic Methods in Engineering Systems  

Common probabilistic models used in engineering and physical science design, prediction, and operation problems; derived distributions, multivariate stochastic models, and estimation of model parameters; analysis of data, model building and hypothesis testing; uncertainty analysis. 

ENVE 5331 – Predictive Analytics for Scientists and Engineers 

Topics include exploratory data analysis, clustering, dimensionality reduction, classification and regression models, text mining, geospatial data processing and more. Individual in-depth data analysis projects. Some background in programming and statistics desired. 

ENVE 5530 – Environmental Site Investigation   

Technical and Regulatory Framework for the investigation of potentially contaminated sites; basic geochemistry and hydrogeology principles; design of soil and groundwater investigations; human and ecological risk assessment; data analysis; principles of hazardous waste management at contaminated sites. 

ENVE 5810 – Hydrometeorology  

Global dynamics of aquatic distribution and circulation. Hydrologic cycle, atmospheric circulation, precipitation, interception, storage, infiltration, overland flow, distributed hydrologic modeling, and stream routing. 

ENVE 5811 – Hydroclimatology  

Focuses on the physical principles underlying the spatial and temporal variability of hydrological processes. Topics include atmospheric physics and dynamics controlling the water/energy budgets; global water cycle, its dynamics, and causes of variability/changes; occurrence of drought and flood; climate teleconnections and their hydrological application; hydrological impact of global changes; quantitative methods in hydroclimatic analysis. 

ENVE 5821 – Vadose Zone Hydrology  

Theoretical and experimental elements of primary physical and hydrological properties of porous media and processes occurring in partially-saturated soils. Practical experience in measurement and interpretation of hydrological information and methods of analysis for vadose-zone related environmental problems. 

ENVE 5830 – Groundwater Flow Modeling  

Basics of modeling with Finite Difference and Finite Element Methods. Modeling flow in saturated and unsaturated zones. Model calibration and validation. Parameter estimation. Treatment of heterogeneity. Basic geostatistics. Modeling surface-groundwater interactions. Application to field sites. 

IMS 5301 – Microstructural and Morphological Analyses  

Lecture on sample preparation and analyses for optical and electron microscopy methods including scanning electron microscopy, transmission electron microscopy, energy dispersive X-ray analysis, focused ion beam methods, and electron energy loss spectroscopy. 

IMS 5302 – Structural Analysis  

Lecture on sample preparation and analyses for optical and electron microscopy methods including scanning electron microscopy, transmission electron microscopy, energy dispersive X-ray analysis, focused ion beam methods, and electron energy loss spectroscopy. 

IMS 5303 – Compositional Analyses  

Lecture on sample preparation and analyses, for characterization of compositions of materials. Methods to be discussed include titrations, atomic absorption, inductively coupled plasma mass spectrometry, infrared, Raman, Ultraviolet visible, fluorescence, chromatography, and mass spectrometry. 

IMS 5304 – Surface and Interfacial Analysis 

Lecture on sample preparation and analyses for surfaces and interfaces, including scanning Auger microscopy, secondary ion mass spectrometry, X-ray photoelectron spectroscopy, contact angle measurements, and temperature program methods. 

ME 5105 – Basic Concepts of Continuum Mechanics  

An introductory course in the theory of continuum mechanics. Development of physical principles using Cartesian tensors. Concepts of stress, strain and motion. Basic field equation for the Newtonian fluid and the elastic solid. 

ME 5110 – Advanced Thermodynamics  

Microscopic view of thermodynamics: probability and statistics of independent events, thermodynamic probabilities and most probable thermodynamic distributions, molecular structure and partition function, Ensemble of microstates describing macroscopic behavior, with ideal gas as an example, Macroscopic descriptions of thermodynamic equilibrium and equilibrium states, Reversible processes, Heat and Work interactions, Mixtures of pure substances and chemical equilibrium, Stability and phase transitions, Irreversible thermodynamics, Onsager reciprocity relations and thermo-electric effects, Kinetic theory of gases. 

ME 5120 – Advanced Thermo-Fluids I  

Fluid as a continuum, Kinematics and decomposition of fluid motion, Conservation of mass and momentum, Navier-Stokes equations, Conservation of energy, Exact solutions to governing equations, Potential flows, Vorticity dynamics and low Reynolds number flows, Laminar boundary layers including heat transfer, Laminar free shear flows including heat transfer, Flow instabilities and transition. 

ME 5130 – Advanced Heat and Mass Transfer  

Review of thermophysical properties of matter including nanoscale effects. Exact and computational solutions of heat conduction equation. Dimensionless conduction rate approach for steady-state and transient conduction. Species diffusion equations with emphasis on stationary media and partitioning effects. Navier-Stokes equations and exact solutions for special cases. Correlation approach for treatment of single phase laminar, turbulent and two-phase flow. Radiative properties and treatment of surface radiation with spectral and directional effects. Emphasis on multimode heat transfer with applications in manufacturing, nanotechnology, information technology and biotechnology. 

ME 5140 – Heat and Mass Transfer in Multiphase Systems  

Presentation of basic principles for analysis of transport phenomena in multi-phase systems and how they can be applied to a wide variety of applications. The scope is limited to thermodynamics and heat and mass transfer fundamentals in solid <-> liquid, liquid <-> vapor and solid <-> vapor with emphasis in condensation, evaporation, sublimation, vapor deposition, boiling, two phase flow, melting and solidification. 

ME 5150 – Analytical & Applied Kinematics  

Analytical methods of coordinate transformation and two and three dimensional motion, analysis of relative motion and relative freedom through kinematics connections, study of finite and instantaneous properties of motion, study of the geometry of single and multi-parameter engineering curves, surfaces and motions. Application in the analysis and design of linkages and mechanisms. 

ME 5160 – Theory and Design of Automatic Control Systems  

Design features of a closed loop control system. Laplace domain analysis of electromechanical, pneumatic, hydraulic, thermal, and mechanical systems. Computer simulation of dynamic responses using software tools. Stability issues, Routh analysis, root locus, Bode and Nyquist analyses are addressed. An open-ended, hands-on design project from a current research topic is assigned. 

ME 5180 – Dynamics  

Three-dimensional particle and rigid-body mechanics. Particle kinematics. Newton’s laws, energy and momentum principles. Systems of particles. Rigid body kinematics, coordinate transformations. Rigid body dynamics, Euler’s equations. Gyroscopic motion. Lagrange’s equations. 

ME 5190 – Advanced Solid Mechanics  

Fundamental idealizations used in linear solid mechanics and the fundamental principles of the subject. Idealizations covered include beams, circular torsion, struts and thick cylinders. Basic principles include principle of minimum potential energy, principle of minimum complementary energy, virtual work, equations of static equilibrium and direct and potential methods of solving equilibrium equations. Example applications vary but may include, bounding of elastic properties of composites, derivation of finite elements, solution of plate problems by Green’s functions and others. 

ME 5210 – Intelligent Material Systems and Structures  

Overview of piezoelectric materials and electrostrictive materials, shape memory alloys, magnetostrictive materials, and ER/MR fluids. Development of adaptive structure integrated with piezoelectric material, actuation and sensing, simultaneous optimal design/control of electromechanical integrated system, nonlinear and robust control. Design of shape memory alloy system for position control. Development of semi-active control using ER/MR fluids. Structural health monitoring and system identification research. 

ME 5215 – Underwater Sensor Systems Analysis and Design  

The Underwater Sensor Systems Analysis and Design course explores the analysis and synthesis of underwater sensing and communication systems. The intended applications of these systems and the factors that affects their performances in various environmental conditions. Size, weight, and cost provide the constraints to achieve the optimized (or compromised) design. 

ME 5311 – Computational Fluid Dynamics  

An introduction to the fundamentals of computational fluid dynamics (CFD) including thermal transport. Introduces the main computational techniques and methods and analyze their properties. Strong emphasis will be given to the implementation and application of computational techniques and methods. The course is not training on how to use commercial CFD software, and we do not use or discuss such software in the class. The course serves the needs of students that conduct CFD-related research or students who want to develop an in-depth understanding of the subject to critically assess the results CFD software. 

ME 5320 – Flow of Compressible Fluids  

Equations of motion of a compressible fluid. Quasi-one-dimensional flow including effects of friction, heat addition, and normal shocks. Two and three dimensional flows. Velocity potential and stream function. Small perturbation theory. Subsonic pressure correction formulas. Kelvin and Crocco Theorems. Method of characteristics for steady and unsteady, rotational and irrotational flows. Curved and oblique shock waves. Shock tube theory. 

ME 5420 – Mechanical Vibrations 

Variational principles, Lagrange’s equation. Equations of motion for multi-degree of freedom systems. Free vibration eigenvalue problem: modal analysis. Forced solutions: general soltions, resonance, effect of damping, and superposition. Vibrations of continuous systems: vibration frequencies and mode shapes for strings, bars, membranes, beams, and plates. Experimental methods and techniques. 

ME 5430 – Mechanics of Composite Materials  

Provides students with the fundamental knowledge to perform stress analysis of fiber-reinforced composite materials. The focus is on the use of mechanics to study the stresses due to applied deformations, loads, and temperature changes. This course begins with an introduction to composite materials including their constituent properties, applications, advantages and limitations, and manufacturing techniques. The generalized Hooke’s Law for anisotropic solids is along with the Classical Lamination Plate Theory (CLPT) is introduced for composite laminates. Students will learn how to apply CLPT to the failure analysis of composite laminates under combined mechanical and thermal loads. The course concludes with the study of interlaminar stresses and the analysis of composite laminated beams. 

ME 5442 – Composites Design  

Fundamental principles and best practices for designing structural parts made from composite materials. Students will apply the knowledge and skills obtained throughout the course towards solving a practical design problem. Students will learn and use engineering software for predicting laminated composite properties, designing composite parts, and predicting the part performance under specified loads. At the end of the course, students will have created a complete definition of their design that may be manufactured and tested in subsequent courses. 

ME 5443 – Composites Manufacturing  

(Also offered as MFGE 5220.) This course will provide an overview of multiple manufacturing methods for a select group of material types. Manufacturing methods will focus on production and process qualification for Aerospace Components. Students will have the opportunity to survey multiple materials, methods, and processes for part fabrication. Part evaluation methods will also be covered (destructive and non-destructive). There will be entry level exposure to manufacturing risk analysis through the use of industry standard tools (Manufacturing Flow, PFMEA, Control Plan, and PPAP). 

ME 5511 – Principles of Optimum Design  

Engineering modeling and optimization for graduate students in all areas of engineering. Problem formulation, mathematical modeling, constrained and unconstrained optimization, interior and boundary optima constraint interaction, feasibility and boundedness, model reduction, sensitivity analysis, linear programming, geometric programming, nonlinear programming, and numerical methods in optimization. 

ME 5522 – Advanced Analysis of Composite Materials & Structures  

Advanced course in composite materials analysis that focuses on micromechanics analysis, failure prediction and hygrothermal effects. It will provide students with the skills to perform elasticity-based micromechanics analysis of composite thermal and mechanical properties and failure. Students will also learn about the analysis of discontinuous fiber composites. The analysis of the effects of temperature and moisture on multidirectional composite laminate properties and constitutive behavior will be covered along with the analysis of processing-induced residual stresses and laminate deformation. Students will work on a project that applies the skills learnt in the course to a practical composite application. 

ME 5895 – Mechatronics  

Classroom and/or laboratory courses in special topics as announced in advance for each semester. The field of study or investigation is to be approved by the Head of the Department before announcement of the course. May be repeated for a total of 12 credits   

ME 5895 – Fuel Cells 

Classroom and/or laboratory courses in special topics as announced in advance for each semester. The field of study or investigation is to be approved by the Head of the Department before announcement of the course.May be repeated for a total of 12 credits   

ME 6160 – Turbines and Centrifugal Machinery 

Theory, design and performance of centrifugal and exial flow machinery including turbines, blowers, fans, compressors, superchargers, pumps, fluid couplings and torque converters. A detailed study of the mechanics of the transfer of energy between a fluid and a rotor. 

ME 6170 – Combustion and Air Pollution Engineering 

Review of thermodynamics and chemical equilibrium. Introduction to chemical kinetics. Studies of combustion processes, including diffusion and premixed flames. Combustion of gases, liquid, and solid phases, with emphasis on pollution minimization from stationary and mobile systems. Air pollution measurement and instrumentation. 

MSE 5001 – Principles of Materials Engineering 

Accelerated Introduction to Materials Science and Engineering Concepts, including: structures and defects; phase diagrams; mechanical properties; electronic properties; magnetic properties; optical properties; thermal properties; functional materials; metals and alloys; ceramics; polymers; and composites. 

MSE 5135 – Textile Structural Composite Materials  

Provides an in-depth understanding of textile composites, their fabrication and consolidation processes, applications, characterization techniques, mechanical properties, mechanical property models and fatigue and damage tolerance properties. Focus on both 2D and 3D composites made using the textile technologies of weaving, braiding and stitching. The in-plane mechanical properties and failure mechanisms of these composites under static and fatigue loads will be examined along with their enhanced interlaminar fracture toughness, impact resistance and damage tolerance properties. 

MSE 5301 – Thermo Dynamics of Materials 

Classical thermodynamics with emphasis on solutions and phase equilibria. Applications to unary and multicomponent, reacting and nonreacting, homogeneous and heterogeneous systems, including development of phase diagrams. 

MSE 5305 – Phase Transformation in Solids 

Thermodynamics, kinetics and crystallography of phase transformations. Nucleation and growth kinetics. Order-disorder, ferroelectric, and ferromagnetic transformations. 

MSE 5309 – Transport Phenomena 

Mechanisms and quantitative treatment of mass, energy, and momentum transfer will be discussed in the context of materials science and engineering applications. Increasingly complex and open-ended applications will be used to illustrate principles of fluid flow; heat conduction, radiation, and diffusion. 

MSE 5311 – Mechanical Properties of Materials 

Mechanics of deformation and fracture; dislocation theory; strength of ductile and brittle materials; toughness; strengthening mechanisms; toughening mechanisms; creep mechanisms; fatigue crack initiation and propagation; reliability and lifetime prediction. 

MSE 5320 – Ceramic Materials  

Special courses or individual readings. 

May be repeated for a total of 9 credits   

MSE 5320 – Material for Alternative, Renewable Energy 

Special courses or individual readings. 

May be repeated for a total of 9 credits   

MSE 5320 – Nano Materials 

Special courses or individual readings. 

May be repeated for a total of 9 credits   

MSE 5322 – Material Characterization 

A review of the principal experimental methods used to reveal the microstructure and chemistry of materials. Diffraction techniques: x-ray, electron, neutron and proton scattering. Photon probes: photon microscopies, x-ray topography and XPS. Electron probes: SEM, TEM, EDX, EELS, AES. Atom and ion probes: RBS, SIMS, FIM, PIXE. Scanned probe microscopies. 

MSE 5330 – Classic Atomic-Level Simulations 

Introduction to several classical atomic-level simulation techniques (molecular dynamics, Monte Carlo methods) with an emphasis on learning the art of designing simulations and analyzing data generated. The capabilities of the methods to investigate properties and response of materials and the current limitations of materials at the atomic scales will be covered. 

MSE 5334 – Structures & Defects in Materials 

Translation symmetry and space lattices, crystallographic computations, point and space groups, reciprocal space treatment of diffraction, and use of the International Tables for Crystallography. Chemical bonding and descriptive crystal chemistry of metals, ceramics and molecular solids. Structure of amorphous and vitreous materials and introduction to point, line and planar defects. Crystal anisotropy and relations between structure, symmetry and physical properties. 

MSE 5336 – Material Selection in Mechanical Design 

Study of materials and how they are chosen for various mechanical designs. A wide range of materials will be discussed (metal, ceramic, polymer, etc.) and their key properties (modulus, strength, density, etc.) in design will be reviewed. Guidelines for material selection will be shown. Design trades will also be discussed. 

MSE 5343 – Corrosion 

Mechanisms, characteristics and types of corrosion. Test methods and evaluation of corrosion resistance. Suitability of metals, ceramics, and organic materials in corrosive environments. Oxidation and other high temperature gas-metal reactions. 

MSE 5345 – Degradation Mech in High Temp 

A large number of conventional commercial alloys of common industrial interest remain prone to degradation due to corrosion and oxidation during exposure to high temperatures. While the bulk metal degradation, corrosion rates and type of corrosion products vary widely from alloy to alloy, a number of alloy formulations offer corrosion protection by forming slow growing, dense and adherent oxides. Oxidation of binary alloys will be studied with emphasis on internal and external oxidation and transition from internal oxidation to external oxidation. Oxide chemistry, morphology and metal loss of select Fe and Ni base alloys (chromia and alumina forming stainless steels and super alloys) will be analyzed and accelerated corrosion due to carburization, sulfidation, and oxide evaporation will be discussed. Melt assisted hot corrosion of super alloys will be examined. Approaches for corrosion protection (coatings) will be presented. 

MSE 5364 – Advanced Composites 

Mechanical properties, analysis and modeling of composite materials. The properties treated include stiffness, strength, fracture toughness, fatigue strength and creep resistance as they relate to fiber, whisker, particulate, and laminated composites. 

MSE 5380 – Fatigue and Fracture of Composites  

Provides an in-depth understanding of the fatigue and fracture behavior of composite materials under both uniaxial and multiaxial loading for both unidirectional and multidirectional laminates. Focus on the characterization of these properties and the damage and failure mechanisms including the effects of constituents, loading, layup and stress concentration on the fatigue and fracture behavior. This course will also cover the basic concepts and fundamental models used to describe and predict the fatigue and fracture behavior of composites. It will also cover topics related to the impact damage tolerance of composites and the application of fracture mechanics concepts to characterize and analyze composite delamination propagation under both static and fatigue loading. 

MSE 5787 – Behavior of Composites  

This course will cover test methods for the characterization of the mechanical and thermal properties, fatigue and fracture properties, and the nondestructive evaluation of polymer matrix composite materials. It will also cover the qualification of composite materials and the Building Block approach that is used to validate and substantiate the design of composite structures. 

SE 5000 – Introduction to Systems Engineering  

Introduction to the hard and soft skills that are required of good systems engineers. Lectures follow the competency models for systems engineers and include topics such as systems thinking, needs identification, requirements formulation, architecture definition, technical management, design integration, as well as verification and validation of designs. Some of the key systems engineering (SE) standards will be covered and the roles of organizations in enabling engineers to develop systems will be explored. Applications of SE concepts and tools in various settings will be discussed through examples and case studies. Students will learn to apply the SE methodologies in modern complex system development environments such as aerospace and defense, transportation, energy, communications, and modern software-intensive systems. 

SE 5001 – Model-Based Systems Engineering  

Provides students with the foundations of model-based systems engineering. Students will develop skills in the areas of fundamental logical, behavioral, and physical representations of engineered cyberphysical systems. Topics include software and systems requirements engineering, interface design and modeling, system architecting, system verification and testing, and system simulation. Emphasis is placed on modeling cyberphysical systems using modern MBSE principles, methods, and tools. Examples include a water distiller, a residential security system, an automobile, an elevator, and a geospatial library for the demonstration of the theoretical and practical aspects of systems modeling. Designed for all graduate students pursuing graduate certificates and degrees in an engineering discipline. 

SE 5095 – Model-Based Design for Real-Time Cyber-Physical Systems  

General topics in systems engineering. 

May be repeated for a total of 15 credits   

SE 5095 – Systems Engineering Management  

General topics in systems engineering. 

May be repeated for a total of 15 credits   

SE 5101 – Foundations of Physical Systems Modeling  

Provides students with the foundations of physical systems modeling and computational methods for performance analysis. Students will develop skills in the areas of fundamental physical and mathematical representations of fluid dynamics, thermodynamics, heat transfer, and electro-mechanics. Introduction to concepts on how systems can be architected and designed with the aid of models. Topics include system and component requirements specification, creation of system models for design and control analysis of physical systems. Emphasis is placed on the modeling of such systems in the equation oriented programming environment of the Modelica language, and the utilization of these system models within the Functional Mockup Interface for co-simulation and Model Exchange. Examples of Aircraft Environmental Control, Chiller Systems and Plants, Engine Fuel Systems, Variable Frequency Drives and Electric Machines are used for the demonstration of the theoretical and modeling aspects of physical system modeling. 

SE 5102 – Uncertainty Analysis, Robust Design, and Optimization  

Provides students with a thorough understanding of mathematical optimization and uncertainty analysis for the robust design of cyber-physical systems. Topics include optimization theory and practice, uncertainty modeling, sensitivity analysis, and formal and classical model-based robust design methodologies. 

SE 5201 – Embedded/Networked Systems Modeling Abstractions  

Familiarizes students with design flows for designing, implementing and verifying embedded systems, and to provide skills necessary to specify requirements and perform platform-based design, analysis and modeling of embedded and networked systems. These models will be motivated by applications which demonstrate embedded systems design challenges of satisfying time-critical, event-driven, and data-centric requirements. Students will be cognizant of the role of embedded controllers and devices in the system design process, as they relate to event-driven and data-driven systems, and supervisory control of hybrid (continuous and discrete-time) systems. This will include exposure to platform-based design principles with an emphasis on requirements capture and refinement to platform architecture mapping, analysis and verification. Students will learn the technical aspects of modeling principles relevant to embedded systems, specifically modeling system architecture, system functions, computation, software, real-time systems, and distributed systems. 

SE 5202 – Foundations of Control  

Familiarizes students with system design flows used for designing, implementing and verifying control systems and to provide skills necessary to design and analyze practical regulatory controllers for Cyber-Physical systems. Successful students will be cognizant of the role of controls in the system design process and will be proficient in specifying control system requirements, especially as they relate to attenuation of load disturbances, robustness to dynamic system model uncertainty, actuator nonlinearities, and measurement noise; knowledgeable of the distinctions between modeling systems for control and understanding the fundamental limits of regulatory control systems; knowledgeable of the role of control architectures for regulatory controllers, including sensor selection and sizing of actuators; aware of practical control design methods focusing on PID controllers; controller implementation, validation, testing, diagnostics and tuning. Use of computer-aided engineering tools (Dymola, MATLAB/Simulink) in the design flows for control of cyber-physical systems is emphasized. 

SE 5402 – Architecture of IoT  

This course is designed to provide students and professional engineers with a thorough understanding of the design, development, validation and evaluation of IoT systems, especially in industrial domains with stringent timing and performance requirements. The student will develop skills in specifying the requirements for the target IoT systems, selecting the appropriate hardware and software platforms, and validating and evaluating the system performance. Special emphasis will be placed on the semester-based industrial projects that will be designed from selected industrial domains to address real-life problems. 

SE 5502 – Capstone Project in Systems Engineering  

This project course is designed to provide students with a thorough understanding of cyber-physical systems modeling and design through a comprehensive capstone project. These projects will be practical and relevant to industry needs. Students submit a Project Proposal before registering for the course, and develop the proposal with feedback from a faculty member. The graduate student is expected to spend the same amount of time for the project course as any other graduate three-credit course in systems engineering. 

SE 5602 – Machine Learning for Physical Sciences and Systems  

Foundational knowledge in applied aspects of machine learning, including methods for handling uncertain, small, and imbalanced data; feature selection and representation learning; and model selection and assessment. Students will also gain exposure to state-of-the-art research on interpretability of machine learning models, stability of machine learning algorithms, and meta-learning. Topics will be discussed in the context of recent advances in machine learning for materials, chemistry, and physics applications, with an emphasis on the unique opportunities and challenges at the intersection of machine learning and these fields. 

SE 5702 – Data Science for Materials and Manufacturing  

This course will provide students with data analytics skills for knowledge discovery and design optimization. The students will also learn how to apply data mining and machine learning techniques to tackle the challenges in manufacturing and computational materials engineering. Topics include basic concepts of supervised/unsupervised learning, design of experiments and data collection, material image processing, surrogate modeling, optimization and model calibration, multi-fidelity modeling, and applications of data analytics in manufacturing and computational materials engineering problems.