AI Foundation Model Basics - ECE69500

This course explores AI foundation models, including transformers, vision models, and generative architectures. Students will learn about their applications, training processes, and techniques for fine-tuning and deployment, such as prompt engineering and retrieval-augmented generation (RAG). The course also covers the limitations of existing models and performance evaluation methods. Through research discussions and hands-on assignments, students will develop practical skills to analyze, implement, and critically assess foundation models in real-world applications.

AI, Ethics, and Society - ECE59500

This course will introduce students to ethical issues associated with the development, deployment, and use of AI. The course includes attention to fundamental technical and philosophical concepts, and provides opportunities to practice applying ethical principles to specific cases. The course is designed to enhance students' own moral and ethical commitments, and enhance their ability to identify ethical issues in the design and use of AI tools and systems. The course features extensive hands-on learning, reading, reflection, writing, and discussion.

Accounting and Finance for Managing Construction - CEM59700

Additive Manufacturing of Materials - MSE56800

The course takes an MSE approach to additive manufacturing (AM), integrating deposition processing, powder processing, and solidification processing principles in the full range of AM processes. The overarching goal is to learn how to microstructure development, and thus the resulting material properties, are controlled by the interaction of physical, chemical, thermal and mechanical phenomena in the shaping of materials by additive processing. All the main classes of materials and AM processes are covered. Additional objectives are to quantitatively analyze the capabilities and limitations of AM relative to established commercial shaping processes; and to critically analyze the AM research literature.

Advanced Concrete and Aggregates - CE63100

This course will cover the physico-chemical and engineering properties of concrete at an advanced level by examining the influence of constituent materials (cements, aggregates and admixtures) on the properties and behavior of fresh and hardened concrete under various types of physical and chemical environments

Advanced Dynamics - ME56200

Kinematics of paths and particle motion; kinetics of particles, rigid bodies and multi-body systems; Lagrangian formulation for mechanics of mechanical systems; holonomic and non-holonomic constraints; Lagrange's equations; Hamilton's principle for holonomic systems; classification and stability of vibratory systems; simple applications to vehicle dynamics, orbital motion, robotics.

Advanced Engineering Acoustics - ME61300

An extension to ME513. One-dimensional wave propagation in ducts, including acoustic filters, mufflers and transfer matrix methods. Acoustic Intensity methods, including methods to estimate particle velocity, two-microphone cross-spectral method, applications including noise source identification and sound power estimation. Sound transmission through barrier systems, including modeling of barrier elements including limp and flexurally stiff panels, rigid and limp resistive layers, and perforated screens, transfer matrix method to model layered systems, coincidence effects, system optimization. Higher order wave propagation in ducts, including modal analysis, modal phase speed and impedance, modal superposition.

Advanced Facilities Design - IE58200

Study of the theoretical and applied aspects of facility logistics. Topics include location, layout, material handling systems, storage and warehouse systems, and cellular systems.

Advanced Internet of Things Design and Applications - ECE60864

Information coming soon!

Advanced IoT Design and Applications - ECE69500

Recent years have witnessed the rise of the Internet of Things (IoT), a newly emerged networking paradigm that connects humans and the physical-world through ubiquitous sensing, computing, and communicating devices. With billions of such connected devices that pervade every corner of the world, IoT is able to benefit a whole spectrum of civilian and military applications with enormous societal and economic impacts, such as smart cities and transportation, healthcare and assisted living, activity and gesture recognition, smart homes and buildings, and environmental monitoring. This course provides the students with a deep and comprehensive understanding of IoT systems by introducing the key IoT technologies from the ground up, including IoT devices programming, wireless network design and optimization, edge-cloud IoT platforms, deep/machine learning, as well as security and privacy preserving mechanisms. In this course, we will also survey recently published algorithms, systems, and applications of Internet of Things, and explore key opportunities as well as challenges emerging in the research of this area.

Advanced Mathematics for Engineers and Physicists I - MA52700

MA 52700 and MA 52800 cover a broad range of mathematical topics useful in early graduate engineering courses.

Advanced Mathematics for Engineers and Physicists II - MA52800

Vector calculus: line integrals, surface integrals, divergence and Stokes theorems, Complex variables: Cauchy theory, power series, residues, conformal mappings, potential theory.

Advanced Orbital Dynamics - AAE63200

Discussion of more advanced concepts in astrodynamics. Includes fundamental theories from celestial mechanics, resonance, dynamical systems theory and numerical methods with application to the motion in multi-body regimes and interplanetary spacecraft under the simultaneous influence of multiple gravitational bodies. Assumes experience with the two-body problem.

Advanced Prestressed Concrete Design - CE69700

Information coming soon!

Advanced Rocket Propulsion - AAE53900

AAE 53900, Advanced Rocket Propulsion, presents a graduate-level treatment of topics related to chemical rocket propulsion. Following a brief review of rocket fundamentals, the course provides a detailed discussion on thermochemistry and chemical equilibrium relating these concepts to the structure and operation of standard industry codes like the NASA Chemical Equilibrium with Applications (CEA) code. The next section of the course provides fundamentals of incompressible and compressible flows as applied to key elements of chemical propulsion systems such as propellant feed systems and nozzles. Before providing an in-depth look at solid, liquid, and hybrid propulsion systems, the course provides a review of fundamental heat transfer processes as applied to chemical rockets. The solid and hybrid rocket sections of the course include a review of ballistic models, burning rate theory, and erosive burning among other topics. The liquid rocket section of the course includes discussions on engine cycle analysis and turbopump design. In a typical semester, the course involves about seven homework assignments (including two in-depth homework assignments requiring more analyses and time than a traditional homework), and two exams (a midterm and a final).

Advanced Signals and Systems for Satellite Navigation - AAE67500

Ranging signal design considerations will be derived from basic principles and then demonstrated using the specifications of current and modernized GPS and Galileo constellations. Methods for processing these signals will be derived from fundamental theory, and then applied to problems in receiver design, illustrating practical considerations such as finite bandwidth, quantization, clock stability, tracking threshold, and multipath effects. Students will select a relevant topic in recent research and thoroughly investigate it through a literature review and application of the course material.

Advanced Software Engineering - ECE50874

Software engineering is a complex endeavor. Software engineers work in diverse teams to create and comprehend complex information, such as: code structure, implementation rationale, dynamic software behavior, change implications, and team dynamics. In this class, we will learn modern software engineering practices and discuss state-of-the-art research in software engineering. The students will work on research projects to understand and extend the state of the art in software engineering.

Advanced Steel Design - CCE57700

Information coming soon!

Advanced Structural Mechanics - CE57000

Studies of stress and strain, failure theories, and yield criteria; flexure and torsion theories for solid and thin-walled members; and energy methods.

Advanced Thermodynamics - ME50000

ME 50000 covers the fundamentals and physical basis of the laws of thermodynamics, availability and exergy concepts and applications, properties, and relations between properties in homogeneous and heterogeneous systems, the criteria of equilibrium and the application to a variety of systems and problems, including phase and reaction equilibrium, vapor compression systems, combustion, and fuel cells, among others. Topics are investigated in depth, and students should leave ME 50000 with a good appreciation for the fundamentals and practical applications of classical thermodynamics.

Advanced VLSI Design - ECE61220

Information coming soon!

Aeroelasticity - AAE55600/ME59700

Aeroelasticity is concerned with the consequences and trade-offs created by interactions between aerodynamic forces and structural deformation. This objective of this course is to introduce the theoretical and experimental foundations of aeroelasticity. Tools to analyze the following problems will be presented: static aeroelastic problems; control effectiveness; lift effectiveness; divergence. Dynamic aeroelasticity; flutter and vibration.

Air Breathing Propulsion - AAE53800/ME53800

Analysis of operating characteristics of turbojet, turbofan, turboshaft, afterburning, and ramjet propulsion systems. Analysis and design of inlet, diffuser, combustor, compressor, turbine, nozzle. Component matching and off-design performance for steady-state and transient operating lines. Inlet distortion, nozzle-afterbody, and installation losses.

Algorithms in Transportation - CE66100

Information coming soon

Analysis of Thermal Systems - ME51800

This course covers the philosophy, theory, and applications of the analysis, modeling and optimization of thermal systems. More specifically, vapor compression, absorption, advanced heat pumping and refrigeration cycles, and not-in-kind cooling technologies are studied in detail. Students combine the use of thermodynamics, heat transfer, fluid mechanics, and numerical methods to develop and apply mathematical models for the analysis and optimization of specific cycles and their equipment for real applications. Topics are treated in depth, and students should leave ME 51800 with an extensive understanding of thermal systems.

Antennas: Design and Application - ECE61700

Electrically small antennas; Arrays; wire antennas and feeding arrangements; aperture antennas, such as slots, horns, and parabolic reflectors; antennas for multiple frequencies, including log-periodic and other frequency independent types; receiving antennas and the concept of antenna temperature; antenna measurements and evaluation.

Application Oriented Computational: Coherent Transport - ECE59500

The application oriented computational nanotechnology course sequence aims to train students in how to apply state-of-the-art quantum transport simulation tools. The emphasis lies here on acquiring the understanding which of the commonly available electronic models is appropriate for which situation, how to interpret typically available simulation results and how to reliably distinguish numerical artifacts from physically meaning device features. This class sequence trains students by guiding them to implement their own quantum transport simulation tool and connect it to Purdue's quantum code library. This way the students get hands-on experience in how to validate quantum transport tools, how to interpret simulation results and how to run state-of-the-art professional simulation engines. Part 1 of the class sequence covers basic concepts such as how to utilize transmission and density of states to validate simulation setups, how to ensure reliable convergence and numerical efficiency for nanodevices with few or many resonant states (such as nanosheets and nanowire transistors, FinFETs, quantum dots and quantum sensors). Part 1 also covers how to expand systems in 2D and 3D and how to apply low rank approximations to ease the numerical burden of quantum transport.

Applied Algorithms - ECE51220

Information coming soon!

Applied Control in Astronautics - AAE59000

Dynamical systems considered in the context of spaceflight are largely different from those of ground-based systems. The objective of this course is to introduce students to the theoretical and practical foundations of control techniques with an emphasis on its application to dynamical systems in astronautics.

Applied Ergonomics - IE57800

The human-technology interface will be studied and considered. The course focuses on the design of jobs and systems to align with human factors and ergonomic principles. Consideration is given to ergonomics in the context of industrial and systems engineering overall. The course lessons include analysis, models and designs for these systems to enhance human efficiency, comfort, safety and well-being.

Applied Medical Image Processing and Analysis - BME59500

Imaging science is rapidly advancing, driving innovation across healthcare and biomedical research. Biomedical engineering has been ranked among the fastest-growing career fields, with medical imaging identified as a major contributor. As a core component of biomedical imaging, medical image processing and analysis are critical for understanding, visualizing, and quantifying anatomical and physiological features in both clinical and research settings. Automated and quantitative image analysis techniques are making disease diagnosis faster, more accurate, and more reproducible—accelerating progress in medical research and patient care.

Applied Optimal Control And Estimation - AAE56800

This course introduces students to analysis and synthesis methods of optimal controllers and estimators for deterministic and stochastic dynamical systems. Optimal control is a time-domain method that computes the control input to a dynamical system which minimizes a cost function. The dual problem is optimal estimation which computes the estimated states of the system with stochastic disturbances by minimizing the errors between the true states and the estimated states. Combination of the two leads to optimal stochastic control. Applications of optimal stochastic control are to be found in science, economics, and engineering. The course presents a review of mathematical background, optimal control and estimation, duality, and optimal stochastic control.

Applied Regression Analysis - STAT51200

This is an applied course in linear regression and analysis of variance (ANOVA). Topics include statistical inference in simple and multiple linear regression, residual analysis, transformations, polynomial regression, model building with real data. We will also cover one-way and two-way analysis of variance, multiple comparisons, fixed and random factors, and analysis of covariance. This is not an advanced math course, but covers a large volume of material. Requires calculus, and simple matrix algebra is helpful. We will focus on the use of, and output from, the SAS statistical software package but any statistical software can be0 used on homeworks.

Artificial Intelligence - ECE57000

Introduction to the basic concepts and various approaches of artificial intelligence. The first part of the course deals with heuristic search and shows how problems involving search can be solved more efficiently by the use of heuristics and how, in some cases, it is possible to discover heuristics automatically. The next part of the course presents ways to represent knowledge about the world and how to reason logically with that knowledge. The third part of the course introduces the student to advanced topics of AI drawn from machine learning, natural language understanding, computer vision, and reasoning under uncertainty. The emphasis of this part is to illustrate that representation and search are fundamental issues in all aspects of artificial intelligence.

Artificial Intelligence for Thermal Systems - ME59700

Attitude Determination and Control - AAE59000

Information coming soon!

Basic Probability and Applications - STAT51600

By the end of this course, students will be able to understand probability measure, random variables, and their distribution functions, master many of the distribution finding techniques, such as transformation methods, know a lot of special distributions such as Binomial, Poisson, normal, and understand order statistics and the law of large numbers and the central limit theorem.

Behavior and Design of Anchorages in Concrete - CE59700

Information coming soon.

Big Data Risk Analytics for Engineering Management and Public Policy - IE59000

In this course, I will first cover the foundational principles in risk analysis and will then delve into methods used for developing quantitative risk analytics. Big data risk analytics leverages computational statistics and data mining to build predictive models based on large data sets to draw insights for engineering management and public policy application areas. As data becomes more prevalent across many different areas of importance in engineering, policy analysis, and management, predictive risk analytics is emerging as an increasingly important topic. This course assumes a working knowledge of probability and statistics and builds from this to introduce modern supervised and unsupervised learning techniques. Besides covering the foundations in risk analysis as well as the key principles for developing predictive risk models with high generalization performance, the course will also cover a range of semi- and non-parametric algorithms (e.g., generalized additive models, tree-based models, neural nets, support vector machines), meta-algorithms (e.g., boosting and bagging) as well as widely used unsupervised learning techniques such as PCA and clustering.

Big Data and Machine Learning in Engineering - NUCL59700

Big Data for Reliability and Security - ECE69500

This course covers the theoretical aspects of big data for reliability and security and stresses the practical systems aspects of such techniques.

Biological Wastewater Treatment - CE59700

Students will learn principles of biological wastewater treatment, nutrient removal and resource recovery in wastewater, and modern biotechnologies for wastewater treatment.

Biomedical Signal Processing - BME51100

This is a biomedical "data-science" course covering the application of signal processing and stochastic methods to biomedical signals and systems.

Biosensors: Fundamentals and Applications - BME52100

An introduction to the field of biosensors and an in-depth and quantitative view of device design and performance analysis. An overview of the current state of the art to enable continuation into advanced biosensor work and design. Topics emphasize biomedical, bioprocessing, environmental, food safety, and biosecurity applications.

Biostatistics - BME50100

This course focuses on fundamental principles of multivariate statistical analyses in biostatistics, including multiple linear regression, multiple logistic regression, analysis of variance, and basic epidemiology concepts. The fundamental theories are applied to analyze various biomedical applications ranging from laboratory data to large-scale epidemiological data. In particular, this course focuses on multivariate statistical analyses, which involve more than one variable and take into account several variables on the responses of interest. This course focuses on fundamental principles of multivariate statistical analyses in biostatistics, including multiple linear regression, multiple logistic regression, analysis of variance, and basic epidemiology concepts. The fundamental theories are applied to analyze various biomedical applications ranging from laboratory data to large-scale epidemiological data. In particular, this course focuses on multivariate statistical analyses, which involve more than one variable and take into account several variables on the responses of interest. In addition, although statistical learning and machine learning are different, both learning approaches play a key role in inference and prediction. This course compares statistical learning and deep learning in the context of biostatistics.

Boltzmann Law: Physics to Computing - ECE50633

This course is intended to be broadly accessible to students in any branch of science or engineering who would like to learn about the conceptual framework for equilibrium statistical mechanics and its application to modern machine learning.

Built Environment Modeling - CE52501

CMOS Analog IC Design - ECE51214

The course covers general topics in CMOS analog IC design; biasing, noise, single stage amplifiers, Op-Amp, OTA, frequency domain analysis, and active filter. While the focus of the course is on CMOS IC design, design in bipolar and BiCMOS technologies are introduced as well. A design project is a key component of the course. The students conduct a group or individual design project. Process Design Kit and EDA tools are provided for the design project.

CSE Seminar - GRAD68900

Information coming soon.

Career Paths as an Engineering Educator - ENE59500

Cell and Tissue Mechanics - BME54200

This course develops and applies scaling approaches and simplified models to biomechanical phenomena at molecular, cellular, and tissue level.

Coastal Engineering - CE54300

This course provides an introduction to the field of coastal engineering, with exposure to both fundamental physical processes and also design methods used by practicing engineers. The first part of the course introduces the field of coastal engineering, followed by an in-depth look at water wave properties and water level variations. Subsequent work focuses on design approaches for coastal sediment transport and guest lectures from practicing coastal engineers. Coursework is a combination of online lectures and quizzes, readings, case studies, homework assignments, and design project. The use of available data and model output to drive coastal design and assessment is stressed throughout the course, and students will gain a familiarity with different information sources and tools used in coastal engineering design.

Combustion - ME52500

Physical and chemical aspects of basic combustion phenomena. Classification of flames. Measurement of laminar flame speed. Factors influencing burning velocity. Theory of flame propagation. Flammability. Chemical aspects. Chemical equilibrium. Chain reactions. Calculations and measurement of flame temperature. Diffusion flames. Fuels. Atomization and evaporation of liquid fuels. Theories of ignition, stability, and combustion efficiency.

Combustions of Energetic Materials - ME62000

Students will learn the concepts of how to approach research in the area of Energetic Materials (EM) based on an understanding of the fundamental principles. Students will learn how energetic materials are fabricated, safety used, as well as understand life cycle issues, homogeneous & heterogenous combustion, and advanced energetic material concepts. Multiphase combustion phenomena will be introduced and emphasized. They will apply these concepts to a literature review and group research project, as well as that includes applying thermochemistry and chemical kinetic software. In addition, six hands-on labs are performed. This material will be covered in the context of real-world applications, with an emphasis on energetic materials, combustion, propulsion, explosives, pyrotechnics, and detonation phenomenon. Pre-requisite: ME 52500 or AAE 53900 or consent of instructor.

Communication for Engineering Leaders - ECE60004

The goal of this course is to upskill talented engineers' communication abilities. By the end of the course, you should have new adeptness at creating and delivering powerful presentations on a short deadline, as well as strategies for leading others effectively.

Complex Fluids - ME59700

Complex System Safety - AAE57100

You will work in teams to investigate a particular high-profile accident in detail. And we will learn about the latest theories in accident progression, and how we can use these theories to design and operate safer systems.

Computational Aerodynamics - AAE51200

This course provides an introduction to finite-difference (FD) and finite volume (FV) methods in CFD. The course is divided into three parts. Part 1 reviews the building blocks needed to develop, analyze, and implement CFD, including methods for initial and boundary-value problems, methods for linear and nonlinear algebraic equations, classification and properties of partial differential equations (PDEs), and the equations that govern fluid mechanics, heat transfer, and combustion problems. Part 2 presents FD and FV methods in a step-by-step manner, showing how the building blocks are assembled and their limitations. These include mapping of coordinate systems, grid generation, FD and FV operators, and methods of analysis for consistency, stability, convergence, and errors such as conservation, transportive, dissipation, dispersion, aliasing, and lack of monotonicity and positivity. Part 3 shows how FD and FV methods are applied to the Euler and the Navier-Stokes equations for compressible and incompressible flows with focus on boundary conditions, verification and validation issues, and uncertainty quantification.

Computational Combustion & Propulsion - AAE53000

Students are expected to learn the fundamentals and skills for performing combustion modeling and simulations, as well as the status of the frontier turbulent combustion research.

Computational Finance - STAT54000

Computational Fluid Dynamics - ME61400

The course will cover introductory aspects of Computational Fluid Dynamics (CFD) with focus on canonical flow problems, while providing exposure to the latest advancements in discretization methods for fluid flow problems. We will use programming languages. We will provide sample codes in Matlab. We will also use other freely available software packages, including Freefem or Fenics. We will make use of free visualization tools like Paraview.

Computational Fracture Mechanics - ME65000

Advanced concepts of methods for the analysis of cracks, of crack propagation and damage evolution. Prediction of the macroscopic behavior of structures as it emerges from the presence of defects such as cracks, voids, or delamination. Linear elastic and nonlinear fracture problems. Rate independent and rate dependent problems. Methods in computational fracture mechanics where material separation emerges as an outcome of the boundary value problem. Demonstrations of how mechanical design can take advantage of the methods of computational fracture mechanics by introducing such concepts into structural analyses. Applications of computations in predictive analysis and its importance in simulation-based engineering.

Computational Lithography - ECE59500

Information coming soon.

Computational Methods for Power System Analysis - ECE51032

Computational Models and Methods - ECE60800

Fundamental knowledge regarding algorithm design that is needed in more advanced courses in the computer engineering area; emphasizes understanding the classes of problems that can be solved by computers and quantifying the performance of algorithms used to solve such problems.

Computational Watershed Hydrology - CE54900

This course is designed to train students in performing watershed scale hydrologic analysis and simulations using real observations, geospatial data and computational tools. This course is intended for senior level undergraduate students and graduate students who already have some knowledge of basic hydraulics or fluid mechanics and hydrologic processes. Most classes are designed in the form of self-learning exercises using ArcGIS, HEC-HMS, HEC-RAS, and SWAT. Some Python programming may also me covered towards the end of the course. Students are expected to have some computer proficiency in using computers and software applications.

Computer Applications in Construction - CE52200

This course is part of a master study of the current computer usage in the construction industry; computer applications in construction; and commercially available software applications.

Computer Architecture - ECE56500

Computer architecture is the science and art of selecting and interconnecting hardware components to create a computer that meets functional, performance and cost goals. This course qualitatively and quantitatively examines uniprocessor computer design trade-offs. We will learn, for example, how uniprocessors execute many instructions concurrently and why state-of-the-art memory systems are nearly as complex as processors.

Computer Network Systems - ECE50863

The goal of this course is to provide students with a proper grounding in the basic concepts and seminal work in computer network protocols and systems, and to introduce students to research in the field. The course will cover classical concepts such as network architecture, switching, routing, congestion control, and quality-of-service, and discuss recent developments in these areas. The course will also cover new developments in networking such as network measurements, network management, overlay networking and peer-to-peer systems, network security, and new network architectures. The course will emphasize a system-oriented and empirical view of Internet architecture.

Computer Vision for Embedded Systems - ECE59500

Construction Productivity - CCE59700

This course is conducted via Asynchronous (streaming anytime) distant learning and live Zoom review sessions which means each student will have to be self-motivated to watch videos, do follow on quizzes, participate and review Zoom sessions, and complete seven exercises that will enable each student to develop their own Construction Productivity Procedure Manual for implementation at construction projects.

Content Assessment and Pedagogy: An Integrated Engineering Design Approach - ENE50600

Content, Assessment and Pedagogy is designed to help participants build a foundation of knowledge, skills, and habits of mind or modes of thinking that facilitate the alignment of content, assessment, and pedagogy for curriculum design. Rather than treat each of these areas separately, we strive to help the participants consider all three together in a systematic way. Our approach is essentially an engineering design approach, that is, we start with requirements or specifications, emphasize metrics, and then focus on the preparation of prototypes that meet the requirements. The course provides a community of practice culture in which students have opportunities to form their own intellectual neighborhood as well as participate within the broader community of engineering education via engagement in our practices, methods, and beliefs.

Data Analysis, Design of Experiments and Machine Learning - ECE59500

This course will provide the conceptual foundation so that a student can use modern statistical concepts and tools to analyze data generated by experiments or numerical simulation. We will also discuss principles of design of experiments so that the data generated by experiments/simulation are statistically relevant and useful. We will conclude with a discussion of analytical tools for machine learning and principal component analysis. At the end of the course, a student will be able to use a broad range of tools embedded in MATLAB and Excel to analyze and interpret their data.

Data Analytics - ECE59500

Information coming soon!

Data Science for Smart Cities - CE56401

The availability of low cost and ubiquitous sensors in city infrastructure provides high granular data at unprecedented spatio-temporal scales. Smart Cities envision to utilize this data to provide a resilient and sustainable urban ecosystem by integrating the information and communication technology (ICT), Internet of things (IoT) and citizen participation to effectively manage and utilize city's infrastructure and services. Data Science provides fast and efficient ways to analyze heterogeneous data to understand the current dynamics of cities and ways to improve different services. This course will introduce scientific techniques that will allow the analysis, inference and prediction of large scale temporal data (e.g. GPS vehicular data, social media data, mobile phone data, individual social network data etc.) that are present in city networks. A special focus will be on data driven methods for problems that have a network structure. The course will focus both on the methods and their application to smart-city problems. Python will be used to demonstrate the application of each method on real world datasets available to the instructor. Examples of problems that will be discussed in class include: ridesharing platforms, smart and energy efficient buildings, evacuation modeling, decision making during extreme events & urban resilience.

Data Science in Mechanics of Materials - AAE59000

Focus of this course is on exploring applications of data science to mechanics of materials related models and experiments.

Datacenter & Cloud Networks - ECE60850

Design Principles and Practices of Drinking Water Systems - CE59700

This course is designed for graduate students and working professionals who would like to learn design principles in drinking water systems and how to apply the principles to design, operate, and optimize drinking water treatment systems and plants. The objectives of this course are to introduce the fundamental design principles and practice of water treatment and to prepare students for designing water treatment systems.

Design and Control of Production and Manufacturing Systems - IE57900

To achieve cost-effective and sustainable production, mfg., and supply systems, in the age of cyber-physical systems, AI and robotics, this course focuses on the engineering fundamentals affecting the performance of such systems operations. We learn models and techniques that enable you to design and control them effectively and competitively.

Design for Lean Six Sigma Black Belt - IE59000

This course will provide the comprehensive knowledge of Design for Lean Six Sigma (DFLSS) - Black Belt methodologies and tools. We will cover the structured DMAIC methodology to improve any existing process and product variations. Lean Manufacturing will be included for the elimination of wastes. The Design for Six Sigma (DFSS) methodology is introduced for new product development, along with Nonparametric Statistics for healthcare applications. Lastly, the concept of System Reliability Analysis will be addressed.

Design for Manufacturability - ME55700

Introduction to manufacturing and assembly concerns, such as efficient design, producibility, and quality, early in the engineering design process. Topics include the product development process, tolerance analysis, material selection, manufacturing process selection, guidelines for design for manufacturing and assembly, quality engineering techniques, Taguchi's robust design methodology, and life cycle engineering. Projects in the area of tolerancing, assembly, and manufacturability.

Design of Composite Materials and Structures - AAE59000

The goal of this course is to equip students with the fundamental principles and knowledge for designing structural parts made from fiber-reinforced composite materials. Students will develop computer codes for predicting composite properties, designing composite parts, and predicting the part performance under specified loading and environmental conditions. The course begins with a brief introduction of composite materials including their constituent properties, applications, advantages and limitations, and manufacturing techniques. The theory of elasticity and anisotropic solids, micromechanics, and the Classical Lamination Plate Theory (CLPT) will be introduced, followed by the discussion of the failure behavior, vibration and buckling, and hygrothermal effects. Design of skin-stiffened and sandwich structures will also be discussed. The course concludes with a discussion on the consideration of manufacturing-induced defects for composites design.

Design of Experiments - STAT51400

A thorough and practical course in design and analysis of experiments for experimental workers and applied statisticians. SAS statistical software is used for analysis. Taken by graduate students from many fields.

Design of Prestressed Concrete Structures - CE57200

Design of Urban Water Infrastructure - CE54800

Information coming soon!

Development of Underground Space - CEM59700

This course has been designed to support students with civil engineering and construction engineering and management background. New underground construction projects are planned all over the world, and the course equips students to contribute to these exciting developments. This course includes an overview of the application for tunneling and underground space as well as construction methods. The course will cover various sizes of underground opening from small diameters built by microtunneling to common tunnels used in civil and mining applications to large caverns, often found in different end uses such as storage or hydropower construction.

Diffraction, Fourier Optics and Imaging - ECE51300

Diffraction, Fourier Optics and Imaging covers topics central in diffractive optics, multidimensional Fourier methods and most modern analog and digital imaging/image processing techniques. Some algorithms discussed such as information recovery have close connections to other areas such as modern cryptography, super-resolution, lensless imaging, and modern printing/display technologies. For more information, please contact Prof. Ersoy (ersoy@purdue.edu).

Digital Communications - ECE54400

Digital communication systems including spread-spectrum systems; Analog message digitization; Signal space representation of digital signals; Binary and M-ary; signals Comparison of digital communication systems in terms of signal energy and signal bandwidth requirements; Analysis and comparison of principal types of spread-spectrum, multiple-access systems

Digital Control - ME57800

This course is the second in a two course series, ME575 and ME578. It is intended to facilitate the students to gain understanding in: sample theory, z-transform, and other analysis tools that are used to analyze and design digital control systems; Analysis: state space and input/output representation, modeling and analysis of digital control systems; Synthesis: emulation, I/O mapping design, state feedback control, state observer design, observer based compensator design, LQ optimal control, Kalman filtering, LQG design; Implementation: quantization, sampling and noise; of linear time-invariant (LTI) control system design and its extensions. It is intended to bridge between theory and application by bringing implementation issues into the consideration of controller design.

Digital Image Processing I - ECE63700

Deterministic and stochastic modeling of images, linear and nonlinear filtering, and image transformations for coding and restoration. A variety of web based laboratory experiments based on a combination of Matlab and C programming environments will be used.

Digital Signal Processing I - ECE53800

Theory and algorithms for processing deterministic and stochastic signals. Topics include sampling theory, discrete-time signals, systems, and transforms, digital filtering, spectrum estimation, autoregressive modeling, efficient sampling rate alteration, perfect reconstruction filter banks, transmultiplexers, and Minimum Mean Square Error Estimation. Applications emphasized throughout including CD/DVD players, radar, 5G cellular communications, audio compression, wireless routers, and GPS signal processing for geolocation

Digital Systems Design Automation - ECE51216

This course will provide an introduction to the tools used to design and analyze circuits at the logic level of abstraction (where circuits are composed of gates and flip-flops). Most digital chips used in computing and electronic systems (including microprocessors, graphics processors, chips used in network routers, cell phones, digital audio/video appliances, automotive electronics) are entirely or largely designed using EDA tools. This course will focus on the foundations of logic-level EDA tools, including the design of exact and heuristic algorithms that form the basis for VLSI Computer-Aided Design. Topics covered include an overview of the IC design flow and levels of abstraction, synthesis of two-level (AND-OR / PLA) circuits, multi-level logic synthesis and technology mapping, sequential circuit synthesis, Logic-level verification using Boolean Satisfiability and BDDs, Timing Analysis, Power analysis and Reduction, and design techniques for emerging nanoscale technologies.

Distributed Energy Resources - ME59700

Distributed energy resources (DERs) are controllable electrical devices that plug in at the edge of the power grid, typically through buildings. DERs - such as electric vehicles, heating and cooling equipment, energy storage systems, and rooftop solar photovoltaics - will play an increasingly important role in future energy systems that decarbonize, digitalize, and decentralize their operations. In this class, students will learn to model a variety of DERs, optimize DER designs, and control DERs to reduce costs, pollutant emissions, and impacts on the power grid. This class will involve a mix of coding and mathematical analysis. Students will do semester projects on current DER research and development topics.

Doctor of Engineering Fundamentals - ENGR60100

This one-credit course is designed to guide students in creating individual development plans tailored to their academic and professional aspirations as part of the Doctor of Engineering (D.Eng.) program. Students will learn to assess their skills, interests, and values, aligning them with potential research and academic paths. The course will cover setting realistic goals, identifying resources, and developing strategies for personal and academic growth. The course will also detail the differences between a professional doctorate (D.Eng) and a PhD program. Students will engage in workshops and activities that foster self-reflection and practical planning skills. By the end of the course, students will have a personalized roadmap that outlines the steps necessary to achieve their graduate school objectives.

As the foundational course for the Doctor of Engineering program, students are expected to take this course during their first year of the program.

Doctor of Engineering Seminar - ENGR60300

ENE Foundations - ENE50101

This course gives students entering the graduate program in engineering education (ENE) opportunities to explore their roles within the field of engineering education, to create a learning plan that maps to program requirements, and to develop habits of mind to support their ongoing professional development. In particular, students will refine their ability to write clearly and coherently in an academic context. The course also provides new graduate students with dedicated time to explore research trends and faculty interests so they can make informed choices about advising and program opportunities. The course seeks to support a community of practice culture in which Purdue graduate students and faculty participate in learning partnerships of mutual support, critical reflection, and discourse that will enhance students graduate experiences. Major course activities include visits by ENE faculty members, practice in academic writing, and discussion of ENE community practices, milestones, and competencies. By reading selected articles written by the faculty visitors, students will gain a broad overview of areas of research in engineering education.

EUV Lithography - ECE59500

Information coming soon.

Economic Decisions in Engineering - IE54600

Classical decision theory, deterministic decision rules, decision trees, influence diagrams, single/multiple stage analysis, sensitivity analysis; subjective probability, heuristics and biases, Bayesian methods, conjugate belief forms, inference, belief assessment methods, value of information, risk analysis; utility theory, risk aversion, conflicting objectives, multi-attribute decision theory, analytic hierarchy process.

Educational Methods in Engineering - ENE68500

The purpose of this course is to expose you to methods used in teaching engineering. the goals are to contribute to your preparation for the teaching aspect of the professoriate and put you on path to being actively engaged in your development as an effective teacher. Specifically, this course is designed to help prepare you for college teaching, expand your horizons about teaching, make you think about and reflect on your teaching, and put you in touch with resources that can sustain your development as an effective teacher. This course is also designed to provide a small amount of practice with a variety of teaching practices.

Elasticity in Aerospace Engineering - AAE55300

AAE 553 is a fundamental course in the theory of elasticity with emphasis on understanding the governing principles and solution techniques used in the stress analysis of elastic solids and structures. Cartesian tensors are introduced for formulations of general deformations and states of stress. Constitutive relations and field equations are derived for large deformation and then reduced to small deformation. Simple problems with practical applications are solved.

Electromagnetic Field Theory - ECE60400

Review of general concepts (Maxwell's equations, materials interaction, boundary conditions, energy flow). Statics (Laplace's equation, Poisson's equation). Distributed parameter systems (classification of solutions, transmission lines, and waveguides). Radiation and antennas (arrays, reciprocity, Huygen's principles). A selected special topic (e.g. waves in anisotropic media and optical fibers).

Electromagnetic and Electromechanical Component Design - ECE61014

This course focuses on the design of electromagnetic and electromechanical components with power applications. The course includes design optimization methods, modeling techniques for design (as opposed to for simulation or analysis), and the formulation of design problems as optimization problems.

Electromechanical Robotic Systems - IE59000

This course develops a holistic view of an initial competency in engineering design by conceiving, designing, manufacturing, and optimizing robotic systems. Activities include rapid prototyping of electronic/robotic devices using Arduino microcontrollers and different servo motors. The focus is on the design and the implementation of robotic systems. The pedagogy is based on active learning and a balance of lectures and hands-on activities.

Electromechanics - ECE51012

Please note that this course has been previously offered as ECE59500. The general theory of electromechanical devices relating electric variables and electromagnetic forces. The basic concepts and operational behavior of dc, induction, brushless dc, and stepper motors used in control applications are presented.

Embedded Systems - ECE56800

This course provides an introduction to the design of embedded and ubiquitous computing systems including their hardware and software architectures, design methodologies and tools, and communication protocols.

Energy Conversion - ECE61000

This is an introductory course for graduate students on rotating electric machinery and power electronic drives.

Engineering Acoustics - ME51300

The basic concepts of wave propagation in the context of mechanical vibration of simple systems. The fundamental assumptions of linear acoustics through the derivation of the wave equation and its simple solutions in plane and spherical forms. Plane wave transmission through barriers. Issues related to modeling and describing acoustical sources. The fundamental mechanisms of sound generation are emphasized, as is the directionality associated with various source types. Sound propagation in ducts, and the concepts of muffler design. Sound propagation in rooms, especially with respect to the effect of sound absorbing treatments on steady-state and transient sound in rooms.

Engineering Design: A Decision-Based Perspective - ME54100

Engineering design as a decision-making process; Multi-criteria decision making in design under uncertainty; Group decision making in design processes; Sequential decision making; Model-based and data-driven decision making; Heuristics and biases in design decision making. Applications to engineering design including estimation of customer preferences, simulation-based design, and sustainable design.

Engineering Economic Analysis - IE54500

Students who have already taken an intermediate microeconomics course may find parts of this course repetitive. The course will cover the following topics: mathematics of optimization, consumer choice and demand theory, demand estimation, production and the theory of the firm, an introduction to cost accounting, and market structures.

Engineering Education Inquiry - ENE50300

This graduate level course on inquiry in Engineering Education aims to introduce students to research in engineering education. This course covers a survey of educational research methodologies as well as strategies for locating, documenting, and critically reading literature for the purpose of crafting arguments from evidence. In this course, students will engage in professional and ethical conduct of research through readings, videos, discussions and assignments; define and practice research as crafting arguments from evidence; and 3) explore a rich repertoire of research methodologies used in engineering education. Research literature in engineering education will be analyzed and synthesized to form arguments from evidence while recognizing multiple paradigmatic lenses including positivist, post-positivist, post-modernist, constructivist, and critical theory. Qualitative, quantitative, mixed approaches will be compared in alignment with contemporary academic thought and ways they reveal the complexity of phenomena under study. This course is one of the required core courses for the graduate degree in Engineering Education at Purdue University.

Engineering Optics - ME58700

This course is to cover some basic principles in geometrical and physical optics and help students develop related design and analysis capability. This can help students in their future design, analysis, measurement and other engineering work related to optics.

Engineering Research Fundamentals - ENGR60200

This course is designed to teach students basic research fundamentals, including critical analysis of scientific literature, scientific communication, hypothesis development and basics of scientific writing. At the end of the course, students will be able to critically review literature and present their own scientific thoughts and findings in both written and oral forms. Students will also have opportunities to implement writing, presentation, and networking strategies that are key to success beyond graduate school. An introduction to ethical research practices will also be provided. Finally, students are expected to provide feedback to peers and improve their scientific writing and editing skills through weekly writing sessions. Through self-guided reading and online discussions, students will master the art of analyzing scientific literature, communicating their arguments, and offering peer feedback to colleagues.

Entrepreneurship in BME - BME59500

Students will be able to ideate, create a plan, commercialize research products and ideas, and be able to study the market. The final business plan will be a summary of these topics, and will include: customer discovery, teaming, financial planning, and how to prepare business presentations.

Epidemic Processes - ECE60282

This course provides a control theory and data science approach to traditional epidemic models. Traditional epidemiological ideas will be explored and combined with probability theory and systems theoretic ideas to be able to capture spread behavior, learn from data, and design mitigation techniques. The course consists of four modules: 1) Group Virus Models, 2) Solutions and Limiting Behavior, 3) Model Parameter Identification, and 4) Mitigation Algorithms.

Ethical Engineering of Medical Technologies - BME56400

The medical device industry may be on the brink of a crisis. While innovations in lifesaving new technologies are transforming medical practice, the rapid pace at which these developments are emerging and the intense pressures of the competitive industry is challenging the ethical training of the engineers involved. In addition, the regulatory environment for medical device development has been changing dramatically, leaving companies with more questions than answers on how to best practice safe and effective medical device development. These changes are creating opportunities for ethical problems to arise--and they have. Recent documentaries, such as The Bleeding Edge and Bleed Out highlights some of the concerns over the state of the industry. In this course we will examine many of these ethical and regulatory concerns from multiple frameworks and perspectives including industry, government, and society. We will practice ethical analysis and develop empathic and decision=making skills designed to prepare engineers to deal productively and ethically with these issues in their professional practice. Guest speakers will include thought leaders from clinical medicine, engineering innovation, and the healthcare products industry who will offer their professional insights. The final project of the course will be a paper analyzing the ethical development of an emerging medical product. This course is designed for graduate students and upper-level students in all engineering disciplines.

Exploring Alternative Career Paths as an Engineering Educator - ENE58600

This course is designed for current or future STEM professionals who are interested in teaching technical subjects to students or professionals - or informing the public or policy makers about engineering-related topics - but are not interested in a tenure-track faculty position. It makes students aware of positions STEM professionals interested in educating others might hold in universities, pre-college schools, non-profit organizations, industry, and government. In addition, the course provides information on where such positions are advertised, professional societies for people with similar interests, and some skills needed to obtain and succeed in non-faculty positions. Students will learn and practice a few key skills. The course is an alternative to ENE 686, Preparing to Be an Engineering Professor, in fulfilling the requirements for the Engineering Education Graduate Certificate, Teaching and Learning in Engineering.

Failure Analysis - MSE51800

Learning Outcomes: 1. Become familiar with and be able to identify the categories of failure. 2. Recognize types of failure based on microstructural and post-mortem characterization 3. Relate failure to stressors driving failure (mechanical, thermal, electrical, etc.) 4. Communicate results of a failure analysis clearly to professional audiences 5. Estimate stressors driving failure in relationship to materials properties, service conditions, and design constraints. 6. Use or select appropriate characterization tools for failure analysis. 7. Select appropriate inspection criteria to prevent failure. 8. Recommend improvements in design, service or inspection to prevent failure.

Fatigue of Structures and Materials - AAE55400

Development and application of methods for predicting the fatigue life of structural components. Characterization and response of materials to cyclic loading. Fatigue resistant design of structures. Both fatigue crack initiation and crack propagation concepts are discussed.

Fiber Optics Communications - ECE60431

For Spring 2020, the class duration is: Mar 30 - May 1, 2020
This course will aim to introduce students to the fundamentals of fiber optic communications, which constitute the backbone of the internet. The course will start with a refresher on the operation of key components needed for an effective fiber optic communication system, and then show how these components interact at a system level. Finally, the course will conclude with outlook for future research in extending the capabilities of these networks to higher bandwidths and quantum-secured communications.

Finite Element Methods in Aerospace Structures - AAE55800

The goal of AAE 558 is to introduce the theory behind finite element calculations of stress, strain, and deformation in structures and materials and describe the role of commercial finite element package in structural analysis and design.

Finite Elements in Elasticity - CE59500

Fundamentals of theory of elasticity; variational principles; one-, two-, and three-dimensional elasticity finite elements; interpolation methods; numerical integration; convergence criteria; stress interpretation

Flexible and Stretchable Electronics - ECE69500

This course focuses on development of in-depth foundation on this emerging area of future electronics. Traditionally electronic devices and systems have been physically rigid and bulky. However, back in the eighties Prof. Eli Yablonovich of UCB predicted flexible electronic materials by lift-off process and in 2000 Nobel Prize in Chemistry was awarded to Berkeley Alumni Prof. Alan Heeger of UCSB for discovery of conductive polymers. These two events propelled a surge in innovative materials, processes, and applications in the exciting area of flexible and stretchable electronics. Nonetheless, the area itself is vast and topics vary significantly. Therefore, in this course, a comprehensive view about the past, present and future of flexible and stretchable electronics is categorically discussed in an unbiased manner. Lessons and discussions will include but not limited to physics and mechanics of flexible and stretchable electronics, traditional and emerging materials, novel processes, integration strategies, device performance and reliability, system integration complexity, manufacturing aspects and wide ranging applications. A key objective of overall learning would be to bridge the gap between status-quo and technology transfer requirement for ubiquitous deployment of flexible and stretchable electronics in our daily life.

Food and Energy Farms: Challenges to Sustainable Production on a Crowded Planet - ECE59500

Information coming soon!

Fourier Methods in Digital Signal Processing - ME57900

Alternate Title: Fourier Methods in Digital Signal Processing Fundamentals of signal processing associated with Fourier analyzer systems are presented. Emphasis is on amplitude accuracy and frequency resolution properties necessary for reliable experimental methodologies in system identification, spectrum estimation, and correlation analysis. Deterministic as well as random data analyses are presented.

Fracture Mechanics - AAE65400

The objective of this course is to provide students with an introduction to the mechanics of fracture of brittle and ductile materials. Lectures will focus on the basics of linear-elastic fracture mechanics (LEFM) and elastic-plastic fracture mechanics (EPFM) including the J-Integral. Time dependent fracture including creep and fatigue crack growth will be covered. Methods to experimental determine fracture properties (ASTM standards) will be introduced.

Fundamental of BioMEMS and Micro-Integrated Systems - ECE52600

Key topics in biomedical micro-electro-mechanical systems (Bio-MEMS) and micro-integrated systems are covered. Biological concepts related to the BioMEMS are reviewed. Silicon process modules and soft-lithography processes used in the design and fabrication of BioMEMS and micro-integrated systems are presented. Applications of these systems in a variety of sensors and transducers are described. Recent advances in BioMEMS, Lab-on-a-Chip, and related advanced topics are discussed.

Fundamentals of Current Flow - ECE50631

This course is intended to be broadly accessible to students in any branch of science or engineering who would like to learn about the modern conceptual framework for describing the flow of electrons in solid-state electronic devices. Weekly topics: 1 & 2, The New Perspective; 3 & 4, Energy Band Model; 5, What and Where Is the Voltage.

Fundamentals of Electrochemical Energy Systems - ME59700

The focus of the course will be on learning the fundamental concepts of energy storage and conversion with a goal to develop the ability for sound analysis.

Fundamentals of Estimation - AAE59000

More information coming soon!

Fundamentals of MEMS - BME58100/ECE 52600

Key topics in micro-electro-mechanical systems (MEMS) and biological micro-integrated systems; properties of materials for MEMS; microelectronic process modules for design and fabrication.

Fundamentals of Space Systems Engineering - AAE59000

Coming soon!

Fundamentals of Transistors - ECE50642

The transistor has been called the greatest invention of the 20th century - it enabled the electronics systems that have shaped the world we live in. This course is designed for anyone seeking a sound, physical, intuitive understanding of how modern transistors operate. Important technology considerations and applications of transistors are also discussed. The focus is on MOSFETs, but other types of transistors are briefly considered too. The course is broadly accessible to students with only a very basic knowledge of semiconductor physics and electronic circuits and should be useful for advanced undergraduates, beginning graduate students, as well as practicing engineers and scientists.

Fuzzy Approaches In Engineering - NUCL57000

Gas Dynamics - ME51000

One-dimensional compressible flows including basic concepts; isentropic flow; normal and oblique shock waves; flows with heat transfer (Rayleigh line), friction (Fanno line), and mass addition; simple waves; small perturbation theory for linearized, steady flows; method of characteristics for two-dimensional, steady flow and one-dimensional, unsteady flow.

Geographic Information Systems - CE50801

The course will cover a broad spectrum of theories and practices in geographic information systems.

Geospatial Data Analytics - CE50701

The course will introduce fundamental theories, analytical methods and programing skills, all of which are needed to work with geospatial data.

Global Sustainable Engineering - CE59700

Economic globalization is often mentioned as both an important opportunity and threat to business and industry today. However, knowledge and understanding about additional intrinsically linked phenomena is required to fully capitalize on the opportunities of globalization. The world's human population is expected to reach approximately 10 billion people by the year 2050. Concurrent with population growth and globalization the world is undergoing urbanization at an unprecedented rate. In 1900 only 10% of the less than 2 billion people lived in cities, whereas by 2050 projections suggest that 80% of 10 billion people will live in cities. Urbanization and globalization provide the greatest opportunity to improve the quality of life of more people, achieve the best value for investment in infrastructure, attenuate over consumption of resources and to produce the most efficient and sustainable public service systems. Moreover, fossil energy supply challenges, ecological degradation and rapid economic development in Asia require a paradigm shift to a new "sustainable" economic outlook. This course will provide a unique perspective for considering individual or institutional strategic plans with a triple bottom line approach.

Globalization and Engineering - ENE55400

Each Thursday, students must login from 7:00 - 9:00pm via WebEx for LIVE participation in the class. This course is focused on the multifaceted economic, social, cultural, and technological dynamics of globalization, including associated impacts on engineering education and practice. The course places particular emphasis on emerging Asian economies and Europe, as well as the United States. Instruction is student-centric, highly interactive, and collaborative, emphasizing development of oral and written communication skills, intercultural competence, and teamwork capabilities. Globalization and Engineering is designed for practicing professionals, engineering students, and educators who have engaged, or expect to engage, in global or multicultural projects and collaborations.

Heat Transfer in Electronic Systems - ME51100

Traditional and innovative methods for heat dissipation from electronic systems, and assessment of these methods over a range of applications and scales, will be covered. Special emphasis is given to industry applications with guest lectures to be delivered by experts to discuss thermal management trends.

Heat, Mass Transfer, and Fluid Flow in Manufacturing - ME59700

Heat, mass transfer and/or fluid flow processes play crucial roles in many important manufacturing and materials processing technologies. This course is to introduce these processes to students for several important manufacturing and materials processing technologies. This course will cover related process mechanisms, theories, governing equations, and other knowledge for analysis and modeling. Students will attend lectures or view lecture videos, do homework and complete two projects.

High-Speed Mixed-Signal IC - ECE69500

History and Philosophy of Engineering Education - ENE50200

Human Factors in Engineering - IE57700

The course provides a survey of Human Factors and Ergonomics with particular reference human-systems integration and human functions in human-machine systems. We consider basic human capabilities and the ways that these capabilities are taken into account in the design of human-machine systems and work environments.

Human Factors of Medical Devices - IE59000

This course focuses on industry needs and expectations for human factors engineers in the medical device application area. This course is to cover human factors topics, learn human factors assessment techniques, and apply these knowledge and methods to fulfil regulatory requirements (focusing on HE75 and FDA human factors guidance.

Hybrid Electric Vehicles - ECE51018/ME59700

The primary objective of the course is to introduce architectures and technologies associated with electric, hybrid electric, and plug-in hybrid vehicles including constituent components. Specific topics include electric and hybrid electric drive trains, energy storage (batteries and/or ultra-capacitors), electromechanical energy conversion (permanent-magnet, induction, and switched-reluctance machines), power electronics, vehicle-level modeling and control, and optimization.

Hypersonic Aerothermodynamics - AAE51900

Aerodynamics of satellites and planetary re-entry. Continuum hypersonic flow. Inviscid and viscous effects, boundary layers, and heat transfer. Shock and boundary-layer interactions. Equilibrium flow of high-temperature reacting gases. Nonequilibrium effects. Kinetic theory and rarefied flows. Direct simulation Monte Carlo techniques.

Hypersonic Propulsion - AAE53700

The course is intended for students with undergraduate aerospace propulsion experience/education. The main emphasis is on high-speed airbreathing systems with and without turbomachinery. High-speed inlets, isolators, combustors and exhaust systems are discussed in detail. A brief introduction to modern detonation-based approaches and thermal management is included. Students conduct a detailed analysis of a given system as a final project in the course.

Ideation Catalyst - ECE69500

In this course, we will teach students to unlock their creative potential and master the art of generating innovative ideas addressing important societal problems by leveraging emerging technologies. Students will explore a diverse toolbox of ideation techniques, from brainstorming to SCAMPER, and discover how to apply them effectively in real-world scenarios. We will dive into the psychology of creativity, learn to think laterally, and harness imaginative thinking to tackle complex problems. Whether an aspiring entrepreneur or more inclined to innovate within an established company (intrapreneur), this course will empower students to transform ideas into tangible solutions. The course is a combination of lectures, recitations, discussions, and activities during which students will receive critical feedback from the instructor and peers on their idea assignments. Students start with idea harvest, i.e., the generation of multiple ideas in a short problem/solution format around an important societal problem such as climate change, environment, health/wellness, aging, automation, and AI. After critical evaluation, the most promising idea will be turned into a one pager, a format targeted for a manager or CTO. The one pager is focused on answering important questions about the problem, its scale, customer needs, proposed solution, and market potential. After a second round of critical evaluation, the one pager will be turned into a longer proposal/document (six-pager) targeted to a senior VP or potential investors. Other topics discussed in this course include opportunity recognition and customer discovery, competitive analysis, customer story and press release, user interface and user experience (UI and UX), critical evaluation of ideas and red teaming.

Industrial Applications of Statistics - IE53300

Design of experiments and analysis of experimental results are covered in depth. These include Single-factor, Factorial, Nested, Latin-square, 2 to the f, Incomplete block, Fractional factorial, response surface, and Taguchi designs. Depending on the context, an appropriate design can be chosen in order to minimize the costs for the experiment while gathering sufficient data to achieve undiscovered knowledge. This course will be application-oriented.

Industrial Internet of Things Implementation for Smart Manufacturing. - ME59700

Industrial Robotics & Flexible Assembly - IE57400

We will learn about the use of automation and robotics in industry with an emphasis on current applications. We will learn some fundamentals of robotic configuration and kinematic chains, trajectory planning, sensors and safety in the context of robot operation in the industrial setting. All classes will be complemented with simulation software acting as lab supplements. In the simulation environment, the students will program the robots and sensors using scripting language. A highlight of this year's class is the introduction of Artificial Intelligence as part of robotics learning models.

Information Theory and Source Coding - ECE64200

Information coming soon!

Innovation, Entrepreneurship and Ethics in Aerospace Engineering - AAE59000

Coming soon!

Integrated Circuit/MEMS Fabrication - ECE59500

This course is an updated version of ECE 55700 and will provide students state-of-the-art knowledge in the area of Micro and Nanofabrication Technology. Course topics include substrate, oxidation, lithography, etching (dry and wet), thin film deposition (physical vapor deposition, chemical vapor deposition, atomic layer deposition, epitaxy), diffusion and ion implantation, chemical mechanical polishing, metallization, packaging and integration. The course will include both lectures and hands-on training.

Integration Through Simulation - ECE59500

This course will use semiconductor Technology-Computer-Aided-Design (TCAD) tools to present methods of integration of semiconductor process modules into modern CMOS devices. Commercial TCAD tools will be used by the students both to simulate device manufacturing flows and to simulate device characteristics, with objectives both to teach the capabilities, limitations, and calibration of such commercial simulation tools, and to demonstrate their use in developing and optimizing manufacturing flows for complex modern semiconductor devices. The course will begin with the final nodes of planar MOS transistors (32nm), and proceed through FinFETs and Gate-All-Around (GAA) transistors. Process performance "boosters" such as strain engineering and high-K gate stack development will be presented and integrated into devices, along with scaling methods such as self-alignment for both device and interconnect structures. Integrated power delivery through buried power rails and back-side vias will also be presented. In addition to training for semiconductor process and device engineers, the course should provide students pursuing fabless circuit design research or employment with background to refine intuition with respect to layout and design of analog and digital circuits in modern VLSI processes.

Intellectual Property Generation and Management - ECE50005

Intellectual Property for Engineers - ME55400

This is a one credit hour course, not three credit hours. The course meets for the entire semester, 1 one-hour lecture per week. In this course, students will : gain a detailed understanding of types of intellectual property types (Patent, Trademark, Copyright, Trade Secret; learn to recognize inventions and innovative concepts; learn to work with intellectual property attorneys; learn to help patent attorneys with patent claims and prosecution; learn to harness monetary value of IP; learn aspects of licensing, commercialization and litigation; learn Intellectual Property creation and management in corporations; understanding Intellectual Property professional as a career choice; and, have an opportunity to hear from a host of stellar IP professionals

Intelligent Systems - ME69700

Intermediate Aerodynamics - AAE51400

The course objective is to increase student understanding of airfoil and wing aerodynamics and compressible flow beyond the undergraduate level. A deeper understanding of the analytical background in each topic is sought based on the expectations of graduate level mathematical ability and a solid background in elementary fluid mechanics and thermodynamics.

Intermediate Aerospace Propulsion - AAE50900

This course provides an overview of gas turbine and rocket propulsion systems and their analysis. It may serve as a prerequisite to AAE538 and AAE539 for students whose major or minor area of concentration is propulsion.

Intermediate Fluid Mechanics - ME50900

Continuum description and fluid properties. Basic laws for a continuum in integral and differential form. Kinematics of fluid flow and tensor calculus using index notation. Navier-Stokes equations and elementary solutions. Ideal fluid flow and basic inviscid hydrodynamics. Vorticity and streamfunction. Dimensional analysis of fluid mechanics problems. Boundary layer theory. Equations of motion for viscous flows. Viscous flow applications and lubrication theory. Instability and transition to turbulence.

Intermediate Heat Transfer - ME50500

Heat and mass transfer by diffusion in one-dimensional, two-dimensional, transient, periodic, and phase change systems. Convective heat transfer for external and internal flows. Similarity and integral solution methods. Heat, mass, and momentum analogies. Turbulence. Buoyancy driven flows. Convection with phase change. Radiation exchange between surfaces and radiation transfer in absorbing-emitting medial. Multimode heat transfer problems. Students who meet the prerequisites spend up to 5 hrs/wk on the course whereas those who do not have the appropriate math and heat transfer background can expect to spend 11-15 hrs/wk on the course.

Intro to Compilers: Code Generation - ECE59500

This course covers advanced compiler topics: generating code for functions, performing type checking to avoid bugs, performing basic compiler optimizations, and performing register allocation. We will cover the theoretical basis of many of these optimizations as well as how they are implemented in compilers. Students will extend the basic compiler constructed in ECE 595.1 to add these advanced features to their compiler that translates C code into RISC-V assembly.

Intro to Compilers: Compiler Basics - ECE59500

This course is an introductory course on compilers. We will cover the full path that a compiler takes in translating high-level source code (e.g., in a language like C) to assembly code that can be run on a machine. We will cover the processes of translating source code into a compiler's intermediate representation, then generating code from that intermediate representation. Students will also build a basic compiler that translates C code into RISC-V assembly.

Intro to Compilers: Optimization - ECE59500

This course covers advanced topics in compiler optimization: dataflow analysis and pointer analysis to perform global optimizations, and both low-level loop transformations such as loop-invariant code motion and high-level loop transformations such as loop tiling. The course also explains how compiler generate code for pointers and arrays. Students will build a compiler that performs a basic pointer analysis.

Intro to Convex Optimization - AAE56100/IE56100

This course aims to introduce students basics of convex analysis and convex optimization problems, basic algorithms of convex optimization and their complexities, and applications of convex optimization in aerospace engineering. This course also trains students to recognize convex optimization problems that arise in scientific and engineering applications, and introduces software tools to solve convex optimization problems.

Intro to Data Mining - ECE50836

Intro to Electronics Packaging and Heterogeneous Integration - ECE59500/ME597000

This course leverages both theoretical and laboratory-based instruction methods to introduce concepts needed for an introductory understanding of the design and characterization of modern electronic packages. The course is based on a 15-week online module delivery format for both lectures and labs.

Intro to Quantum Science & Tech - ECE50435

Introduction to Analysis of Non-Linear Systems - ECE67500

Information coming soon.

Introduction to Applied Cryptography - ECE59500

Cryptography is an essential component of securing communication and data in a wide range of applications. This course explores fundamental building blocks in cryptography such as ciphers, hash functions, and digital signatures. We will then demonstrate how these building blocks are used practically to secure communications and systems. We will also learn about the power of advanced cryptography to enable complex functionalities with rigorous security guarantees. We will cover fundamental secure multiparty computation protocols, homomorphic encryption, and blockchains, and review their application in building privacy-preserving machine learning. We will also explore social and ethical issues in developing and deploying cryptographic systems.

Introduction to Biomaterials - MSE52700

Major topics include information on the structure and organization of hard tissues (bone, cartilage, ligament) and soft tissues (muscle, skin etc.), information about the function and organization of organs such as the heart or the eye, as well as a description of the main materials that are generally used in the biomedical industry in relationship to implants (metals, metal alloys, ceramics, polymers). Issues related to biocompatibility, carcinogenesis, the complement, or drug delivery systems will also be covered.

Introduction to Clinical Medicine - BME55600

The information and intellectual approach offered will help students recognize needs for engineering solutions to current challenges in medicine.

Introduction to Computer Communication Networks - ECE54700

Fundamental understanding of basic network design, routing, dimensioning and control; here we will study various network functions such as error-recovery algorithms, flow control, congestion control, routing, multi-access, switching, etc. We will also study these in the context of current Internet solutions (e.g. TCP, IP, etc.) and future open problems and possible solutions.

Introduction to Deep Learning - ECE59500

Introduction to a principled understanding of the motivation, justification, and design considerations of the deep neural network approach to machine learning, along with hands-on projects using TensorFlow and Keras.

Introduction to Fluid Mechanics - AAE51100

The basic conservation equations are derived for a comprehensible viscous fluid and then are specialized for applications in potential flow, viscous flow, and gas dynamics. Fundamental skills are developed to support future study in computational fluid dynamics, advanced aerodynamics, laminar-turbulent transition, and turbulence modeling.

Introduction to Game Theory - ECE59500

This course introduces the basics and framework of game theory. The students will understand the application of game theory to model problems in decision making when multiple decision makers are present. An emphasis will be laid on the strong relevance of game theory to engineered systems through examples.

Introduction to Lasers - ECE55200

This course will cover the operation and characteristics of the laser.

Introduction to Mathematical Fundamentals for Systems and Control Theory - ECE60281

This course serves as background for ECE602, Lumped System Theory; ECE695, Epidemic Processes over Networks; and ECE695, Structure and Dynamics of Large-Scale Networks; and other similar courses. The course will make the necessary mathematical background for these courses accessible by decomposing and illustrating difficult concepts with real-world examples and problems.

Introduction to Nanolithography - ECE59500

This course is the first in a series of three courses on nanolithography. This introductory course will provide a broad overview of this exciting field. Students will learn about 1) the critical role of lithography in semiconductor manufacturing, 2) the fundamentals of diffraction-based imaging, 3) the system architecture of the major subsystems of modern exposure tools, 4) in-scanner and on-wafer metrology and control loops for the ultimate performance in process control, 5) the essential role that Digital Twins and Computational Lithography play in advancing the state-of-the-art quickly.

Introduction to Neural Networks - ECE62900

Information coming soon!

Introduction to Operating Systems - ECE69500

This course will cover basic design principles of major components of modern Operating Systems: 1. Processes Management: processes, threads, CPU scheduling, inter-process communication, process synchronization, mutual exclusion, deadlocks; 2. Memory Management: dynamic address relocation, segmentation, paging, virtual memory, page replacement algorithms, protection, sharing; 3. File Systems: file system interface, file system implementation, including directories, disk allocation, disk scheduling, memory-mapped files, Network File System 4. Storage Systems: Disk structure, disk scheduling, swap-space management, RAID The course will additionally introduce (1) system design principles including extra-level of indirection, optimizing the common case, separation of policy and mechanism, and the principle of locality and caching, (2) advance OS topics such as Network File System, and (3) Case study of a modern OS such as Linux. Students are expected to spend at least three hours per week gaining hands-on experience building major components of a modern time-sharing operating system.

Introduction to Optimization - IE59000

Optimization technology provides an extremely powerful tool for data-based decision making under complex constraints. This course will teach engineers how to use widely available software tools (such as Excel) to make sophisticated decisions in various settings. The topics in the course will be covered using real-world examples and reinforced through homework problems. The emphasis will be on ‘learning by doing’. The focus will be on teaching students the skills to solve real-world problems, and not on the theory of optimization.

Introduction to Quantum Transport - ECE50632

This course is intended to be broadly accessible to students in any branch of science or engineering who would like to learn about the full quantum statistical mechanical framework for describing the flow of electrons in solid-state electronic devices.

Introduction to Remote Sensing - AAE52300

This course will introduce students to key aspects of the design of satellite systems for Earth observation (EO). We will start by identifying the physical quantities that need to be measured in order to understand changes in the Earth's atmosphere, land surfaces and oceans. These parameters will be compared with the various phenomenologies that enable them to be measured remotely from space. Next, we will look at the design of instruments and satellite systems around these principles. Microwave instruments will be emphasized, although there will also be discussion of optical systems. This course is intended equally for students in Engineering or the Sciences.

Introduction to Robotic Systems - ECE56900

The topics to be covered include: basic components of robotic systems; selection of coordinate frames; homogeneous transformations; solutions to kinematic equations; velocity and force/torque relations; manipulator dynamics in Lagrange's formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using the computed torque method; and classical controllers for manipulators.

Introduction to Satellite Navigation and Positioning - AAE57500

This course is intended both for students who have an interest in the development of new satellite navigation technology (eg., receivers, signal processing or software) as well as for students looking to apply satellite navigation methods to problems in their own fields (eg., aircraft navigation, vehicle tracking, wireless device locating, surveying, agriculture and Earth science). The course will progress through all stages of the navigation problem, starting with the structure of the transmitted signals and the definition of coordinate systems, through to the integration of these with key physical models to generate estimates of the end user position.

Introduction to Scientific Machine Learning - ME53900

This course provides an introduction to data science for individuals with no prior knowledge of data science or machine learning. The course starts with an extensive review of probability theory as the language of uncertainty, discusses Monte Carlo sampling for uncertainty propagation, covers the basics of supervised (Bayesian generalized linear regression, logistic regression, Gaussian processes, deep neural networks, convolutional neural networks), unsupervised learning (k-means clustering, principal component analysis, Gaussian mixtures) and state space models (Kalman filters). The course also reviews the state-of-the-art in physics-informed deep learning (Markov chain Monte Carlo, sequential Monte Carlo, and variational inference). Throughout the course, the instructor follows a probabilistic perspective that highlights the first principles behind the presented methods with the ultimate goal of teaching the student how to create and fit their own models.

Introduction to Steel Railway Bridge Engineering - CE59700

Students should have some background in the design of steel structures including beams, columns, and connections. This course covers fundamental principles associated with the design of steel railway bridges, including lectures on loading, design considerations, tension members, compression members, flexural members, and fatigue design. At the end of the course, the student will have knowledge of relevant limit states / failure modes in steel components and structures, and a familiarity with the applicable topics in the AREMA Manual as related to the design of steel railway bridges. The students will gain experience in solving design examples and looking at applications of the fundamental concepts learned in the course.

Job Design - IE55600

Task analysis, personnel selection and training, job and organization design, and criteria development and use. Human factors related to job design in order to increase job satisfaction and productivity.

Laminar-Turbulent Transition - AAE62400

Instability mechanisms, such as: Kelvin-Helmholtz, Tollmien-Schlichting, Gortler, and crossflow. Secondary instabilities. Nonlinear and nonparallel effects. The Parabolized Stability Equations. Receptivity. Transition prediction. Effects of compressibility, heating, roughness, turbulence, noise, curvature, etc. Turbulent spots and the extent of transitional flow.

Leadership, Policy and Change in STEM Education - ENE50400

Information coming soon.

Lean Manufacturing - MSE53500

Lean Manufacturing is about creating value. The Lean process starts with creating value for the ultimate customer which requires providing the right product at the right time for the specified price. While all manufacturing attempts to do this, what makes Lean Manufacturing distinct is the relentless pursuit and elimination of waste. Students will learn the concepts and tools of Lean which include types of waste, visual management, 5S, value stream mapping, A3, & flow and how it applies to materials systems.

Lighting and Daylighting Design of Buildings - CE51300

This course provides an overview of gas turbine and rocket propulsion systems and their analysis. It may serve as a prerequisite to AAE538 and AAE539 for students whose major or minor area of concentration is propulsion.

Linear Algebra with Applications - MA51100

Basic vector space theory; linear transformations; topics in matrix theory such as QR and LU factorization, eigenvalues, and quadratic forms.

Linear Programming - IE53500

Linear programming (LP) problems arise pervasively in science and engineering. The students will obtain a broad exposure to the theoretical underpinnings of linear optimization, as well as to the algorithms for solving LP problems. Prior exposure to optimization is not necessary; however, good knowledge of linear and matrix algebra is strongly desired.

Lubrication, Friction and Wear - ME55600

Science, technology, and application of lubricated interacting surfaces in relative motion. Advanced analysis techniques and hands-on exposure to modern experimental methods provide an enhanced understanding of fundamental principles of lubrication, friction, and wear. Basics of design and analysis of machine components operating in the presence of air and liquid lubricants. Rolling fatigue, friction and wear models, and measurement techniques. Offered in alternate years.

Lumped System Theory - ECE60200

This course provides an introduction to the fundamentals of modern control theory for linear dynamical systems. The course adopts the state-space method that builds upon the classical transfer function methods covered in undergraduate feedback control courses. The state-space framework is used in modeling and controller design for systems arising in many engineering and non-engineering disciplines.

MOS VLSI Design - ECE55900

An introduction to most aspects of large-scale MOS integrated circuit design including: device fabrication and modeling; inverter characteristics; designing CMOS combinational and sequential circuits; designing arithmetic building blocks and memory structures; interconnect and timing issues; testing and verification; and system design considerations. Term projects involve the complete design of a functional logic block or system using CAD tools.

Machine Design - ME57000

Analysis of stresses and deflections due to complicated loading. Investigation of specific design problems through application of theory of elasticity, failure criteria, energy approach, and numerical methods. Individual design project.

Machine Learning I - ECE50024

Machine Learning is a dual-level (500-level) course customized for science and engineering students who are seeking to develop a solid mathematical foundation of the subject. The course focuses on the fundamental principles of machine learning instead of a scattered set of algorithmic tools. Students completing the course will be able to formulate the practical machine learning problems into mathematical frameworks, implementing algorithms to execute the statistical inference tasks, and analyzing the performance and limitations of the algorithms. The course emphasizes the co-development of theory and programming. Students will have hands-on experience implementing machine learning algorithms in Python.

Machine Learning for Bioinformatics and Healthcare - ECE69500

This course provides an overview of machine learning techniques to address emerging challenges in bioinformatics and healthcare. The course will discuss the biomedical application of supervised learning, unsupervised learning, reinforcement learning, generative/discriminative models in genomics, proteomics, medical imaging, etc. Research cases include the latest advances in AlphaFold, cancer subtype discovery.

Magnetic Resonance Imaging (MRI) Theory - BME55500/ECE59500

This course covers fundamental aspects of magnetic resonance imaging systems with an emphasis on theory, methodology, and instrumentation. Key principles are derived from the Bloch equations and Maxwell’s equations. Topics include pulse sequences, signal acquisition, spatial encoding in k-space, image reconstruction, and tissue contrast. Major components of an MRI scanner are examined, including the static magnet, gradient and shim coils, transmit and receive chains, and radiofrequency coils and arrays. Learning outcomes are assessed by solving problem sets integrating theory with practical applications. As a final research project, students survey recent literature to identify a specialized topic of interest and deliver a peer-evaluated presentation to the class.

Manufacturing Process Engineering - IE57000

Theories and applications of materials forming and removal processes in manufacturing, including product properties, process capabilities, processing equipment design, and economics. A systems approach to all aspects of manufacturing process engineering.

Mass, Momentum, And Energy Transfer In Energy Systems - NUCL55100

Overview of reactor systems, reactor thermal-hydraulics fundamentals, single-phase flow and two-phase flow formulations, basics on single-phase laminar and turbulent flows, one-dimensional analysis of reactor systems, mixture and two-fluid formulations, basic two-phase flow phenomena pertinent to reactor thermal-hydraulics.

Materials Engineering Fundamentals - MSE60000

Fundamental relationships between the internal structure, properties and processing in all classes of engineering materials. Comprehensive coverage spanning physical, chemical, thermal, mechanical, electrical, magnetic, and optical responses. The course is intended for materials researchers from all backgrounds, as well as engineers working in product design, development and manufacturing who seek a deeper understanding of the full spectrum of engineering materials.

Materials Processing in Manufacturing - MSE53000

A review will be presented of basic probability theory and statistical analysis, with particular emphasis on terms and definitions of a microstructure. The properties accessible to quantification, the basic stereological relationships and the mathematical foundations, and the microstructural tools needed to quantify the structure will be emphasized. The last one-third of the course will cover applications of quantitative metallography to problems in failure analysis, solidification, heat treatment, phase equilibria, and deformation behavior.

Materials for Hypersonics - MSE51700

A 15-week course from the open literature and other sources with a focus on materials, primarily ceramics, for hypersonic flight.

Mechanical Behavior of Aerospace Materials - AAE54800

This course serves as an overview for materials behavior for students without a materials background, including seniors and entry-level graduate students. Materials are at the foundation for all of engineering, as evident by the latest products that we design, to the airplanes that we fly, to the latest smart phones. In fact breakthroughs with material research are often accompanied by rapid advancements in technology. Thus it is paramount for all engineers to have an understanding of the structure and behavior of materials. In this class, we focus on the structure of materials, the microstructure connection to mechanical properties, and ultimately failure mechanisms. Materials play an important role in both design and manufacturing, which will be addressed in the context of components and extreme environments. Of specific interest will be defects within materials, defect formation/evolution, and their role in strengthening mechanisms.

Mechanical Behavior of Materials - ME56900

A study of load and environmental conditions that influence the behavior of materials in service. Elastic and plastic behavior, fracture, fatigue, low and high temperature behavior. Fracture mechanics. Failure analysis case studies emphasis on design.

Mechanical Properties and Behaviors of Polymers - MSE52400

This course will focus on the mechanical properties and behaviors of polymeric materials. The course will utilize fundamental solid and fluid mechanics to understand the response of bulk polymers (solid and liquid, above and below Tg). The impact of deformation rate and temperature on the mechanical response of polymers will be covered in detail. The course will start with an overview of linear elastic mechanics, move to rubber elasticity, and then viscoelasticity (concentrating on time-temperature superposition). We will also cover fluid dynamics and the rheology of non-Newtonian fluids. We will conclude with a section on deformation, yield, and fracture mechanisms (focusing on those phenomena that are unique to polymers such as rubber cavitation and crazing). Time permitting, we will turn to a brief discussion of filled polymer systems (polymer matrix composites).

Mechanical Vibrations - ME56300

The course will cover fundamental concepts on the vibration of mechanical systems including, but not limited to, review of systems with one degree for freedom, Lagrange's equations of motion for multiple degree of freedom systems, introduction to matrix methods, transfer functions for harmonic response, impulse response, and step response, convolution integrals for response to arbitrary inputs, principle frequencies and modes, applications to critical speeds, measuring instruments, isolation, torsional systems, introduction to nonlinear problems.

Mechanics of Composite Materials - AAE55500

This course provides students a background in modern composite materials which are being used in an ever-increasing range of applications and industries. Basic knowledge of composite materials will allow engineers to understand the issues associated with using these materials, as well as gain insight into how their usage differs from conventional materials such as metals, and ultimately be able to use composites to their fullest potential. After a brief introduction to applications of composite materials, , fibers, matrices, manufacturing methods for composite materials and structures, this course covers anisotropic elasticity, micromechanics for determining mechanical properties of composite materials, classical lamination theory, failure and strength analysis of composite materials, and other advanced topics related to mechanics of composite materials and structures.

Medical Imaging Diagnostic Technologies - BME53000

This gateway course will provide an introduction to the physics, technologies, and biological considerations associated with modern imaging and diagnostic tools. Specific modalities to be examined will include x-ray, nuclear imaging, ultrasound, MRI, and microscopy techniques such as phase contrast, DIC, confocal microscopy, two-photon microscopy as well as concept of adaptive optics, light-sheet microscopy, 4Pi microscopy, and modern super-resolution microscopy techniques (PALM/STORM, STED and IM). The course also covers principles of optics, contrast generation (including genetically encoded probes and physiological indicators), image formation, detection, and analysis.

Mentored Teaching in Engineering - ENE68700

This course enables graduate students enrolled in any engineering program to deepen their understanding of college teaching and learning through a semester-long teaching experience with mentoring, feedback, and reflection. Most course topics complement topics in the prerequisite courses. The mentoring component could be structured to meet a requirement for the Certificate of Practice in College Teaching (CPCT) offered by the campus Center for Instructional Excellence. This course fulfills a requirement of the Teaching & Learning in Engineering graduate certificate program.

Micromechanics of Materials - ME55900

Microstructural Characterization Techniques - MSE51000

Measurement and metrology is continually one of the most active areas in the study and verification of materials and their processing. Materials structure at the micro- and nano-scales must be carefully controlled and monitored in modern industry and research. Knowing what tools to use for materials analysis/characterization, and being able to judge the plausibility of others people's claims, are crucial skills in the current work environment. Successful students will be familiar with all major techniques for analysis of microstructural features, both structural and chemical. The student will be aware of what technique is useful for particular situations, and understand the fundamental workings and limitations of the techniques and instruments.

Microstructure Characterization of Semiconductors - MSE59700

This online course provides an in-depth exploration of techniques used to characterize the microstructure of semiconductors. Students will learn the fundamental principles of microstructural analysis, including electron microscopy, X-ray diffraction, and spectroscopic techniques, with a focus on their applications in semiconductor materials. The course emphasizes the relationship between processing, microstructure, and electronic properties, preparing students for research and industry applications in microelectronics and semiconductor engineering.

Modeling and Simulation of Power System Components - ECE63300

This course is recommended for those interested in learning to use computer simulation to investigate the dynamic and controlled behavior of electrical power components. Beginning with an introduction to MATLAB/SIMULINK, the course goes through the key steps of modeling, implementing, and verifying the simulation of transmission lines, single and three-phase transformers, induction machines and wound-field synchronous machines. Students are expected to implement and verify about eight simulation projects, and also discuss observed behaviors on topics such as inrush current in transformers, motoring, generation and braking operation of machines, and pulsating torque from sub-synchronous resonance.
This course is co-taught between 4 instructors in sequential order; Sudhoff, Pekarek, Wasynczuk, Aliprantis

Modern Automatic Control - ECE68000

The first order of business in the analysis of a real world system is the construction of a mathematical model of that system. In this course, we discuss mathematical modeling of systems from mechanical and electrical engineering, as well as from physics and biology. Nonlinear systems are emphasized to acknowledge the critical role that nonlinear phenomena are playing in science and technology. The models presented are the ones that will be used to design controllers. These models are constructed from the control engineering point of view. Two main types of dynamical systems are common in applications: those for which the time variable is discrete and those for which the time variable is continuous. When the time variable is discrete, the dynamics of such systems are usually modeled using difference equations. In the case when the time is continuous, ordinary differential equations are frequently chosen for modeling purposes. Both types of models are considered in the course.

Molecular Gas Dynamics - AAE59000

The course is about microscopic approach to understanding the behavior of a gas which states that all substances are composed of a large number of very small particles (molecules or atoms). The observable properties of gas are the consequence of the actions of the molecules making up the gas. We will cover gas dynamic phenomena that require the molecular description such as the structure of shock wave, high-altitude aerodynamics and expansions into vacuum, velocity slip and aerodynamic forces in nano/microsystems.

Multi-Agent Autonomy and Control - AAE59000

This graduate-level course introduces distributed control of multi-agent networks, which achieves global objectives through local coordination among nearby neighboring agents. The course will prepare students with basic concepts in control (Lyapunov stability theory, exponential convergence, Perron-Frobenius theorem), graph theories (adjacency matrix, Laplacian matrix, incidence matrix, rigidity matrix), matrix theories (stochastic matrices, double stochastic matrices), and optimizations (gradient descent methods, ADMM). Topics of applications to be covered include flocking (by consensus), sensor networks (by distributed averaging), distributed fusion (by distributed linear equation solver), multi-robot formation (by distributed gradient descent method), cyber-security (by resilient information fusion), and increasing autonomy of multi-robot coordination through machine learnings.

Multidisciplinary Design Optimization - AAE55000

This fast-paced, graduate-level course introduces the techniques of engineering design optimization, leading into topics for Multidisciplinary Design Optimization (MDO). The application of these techniques to solve engineering design problems is also presented. First, students are exposed to basic concepts about and implementations of numerical optimization techniques, assuming that the students have little or no knowledge of these topics. Second, students investigate approaches for multiobjective and multidisciplinary optimization based upon knowledge of the basic techniques.

Multiphase Flow: Fundamentals and Computational Methods - ME59700

Multiscale Structural Mechanics - AAE69000

This course covers fundamentals of micromechanics, structural mechanics needed for design and analysis of composite structures capturing microstructural details including fiber/matrix and other constituent materials. This course assumes an introductory background in elasticity and finite element method, and aims to provide students a unified framework for multiscale structural mechanics. This course emphasizes concepts of mechanics through formulating and solving typical problems of anisotropic, heterogeneous structures, and helps foster an in-depth understanding of the subject. Students not only gain knowledge of the fundamental principles needed for multiscale simulation but also gain an integrated and consistent understanding of multiscale structural mechanics based on Continuum Mechanics.

Multivariable Control System Design - ME67500

The course provides students necessary background needed to understand and to apply the modern H-infinity control theory and mu-synthesis based robust control design techniques. The latest MATLAB robust control toolbox will be introduced and used to design controllers for specific applications.

Nanophotonic Modeling - ECE60432

This course is an introduction to photonic materials and devices structured on the wavelength scale. Generally, these systems will be characterized as having critical dimensions at the nanometer scale. These can include nanophotonic, plasmonic, and metamaterials components and systems. This course will aim to introduce students to computational techniques employed in current design and research efforts in nanophotonics. Students will learn the strengths and weaknesses of each approach; what types of problems call for which one; and how your simulation will perform. Techniques include eigenvalue problems, fast Fourier transforms, band structure calculations, rigorous-coupled wave analysis, and finite-difference time-domain. Potential applications include photovoltaics, thermal management, radiative control, and nonlinear optics. The course should be useful for graduate students interested in incorporating these techniques into their design projects or thesis research.

Nanotechnology For Civil and Environmental Applications - CE53101

Network Models for Connected and Autonomous Vehicles (CAV) - CE56601

This course provides an introduction to mathematical foundations of the analysis of transportation networks. The course will be divided into two main sections. Section 1 will introduce the basic foundations of network routing problems including user equilibrium (selfish routing) and system optimal games on networks. Various optimization based formulations, algorithms and extensions will be discussed. A particular emphasis will be on devising efficient algorithms and computation on city networks. Students will be expected to know how to design efficient algorithms for network analysis and implement them on various datasets. The second half of the course will tailor the network models learned in the first half to understanding the impacts of connected and autonomous vehicles (CAVs). This will be done by taking specific example problems such as autonomous intersection control, parking design, network design for CAVs etc. Recent research papers will form the basis for developing these models. Extensive use of intuitive arguments, counterintuitive phenomenon (paradoxes) and network structures will be utilized to illustrate many situations graphically. In addition, computing the solutions efficiently using various network algorithms will be discussed. The course is research based and students in addition to learning the concepts will extend the concepts to a research project to be finished within the semester.

Networked Epidemic Processes - ECE60283

This course presents a class of epidemic models from a network science, control theoretic, and data science perspective. Networked epidemiological ideas will be explored combined with probability theory and systems theoretic ideas to be able to capture spread behavior, learn the behavior from data, and design mitigation techniques. The course consists of four modules: 1) Group Virus Models, 2) Solutions and Limiting Behavior, 3) Model Parameter Identification, and 4) Mitigation Algorithms.

Neural Computing in Engineering - NUCL57500

The course presents the mathematical fundamentals of computing with neural networks and a survey of engineering applications. Computational metaphors from biological neurons serve as the basis for artificial neural networks modeling complex, non-linear and ill-posed problems. Applications emphasize the engineering utilization of neural computing to diagnostics, control, safety and decision-making problems.

Neural Mechanisms of Health and Disease - BME51000

Major topics include: 1) Single neuron physiology and plasticity 2) Information processing by sensory and motor circuits 3) Modern techniques and devices in neuroscience 4) Neuropathologies, such as epilepsy, aging, and others.

Non-Destructive Testing and Sensing for Civil Infrastructures - CE53600

This course will introduce students to the field of non-destructive testing (NDT) and sensing techniques for understanding materials and structural integrity in civil infrastructure system. A special emphasis will be placed on NDT techniques for steel and concrete structures. The knowledge will be discussed including: fundamental failure mechanism of civil materials and structure integrity, basic principles of data acquisition and signal processing, testing procedures of commonly used NDT methods for steel and concrete structures and advanced infrastructure techniques, such as fiber optics, embedded sensor networks etc. Various case studies will be discussed to help students understand and apply the knowledge to field inspection or monitoring of civil materials and structures. Hands-on lab will be provided to students enrolled in the course including common NDT methods and associated data processing. Upon completion, students are expected to understand the fundamental theory and principles of major NDT techniques and their associated equipment and applications. Students should be able to identify appropriate NDT technique for various civil engineering materials and structure testing.

Nondestructive Evaluation of Structures and Materials - AAE55200

Overview the physics, principles, and methods employed for nondestructive evaluation (NDE) of structures and materials. Major NDE techniques covered include radiographs, ultrasonics, eddy currents, penetrants, magnetic flux, and visual/optical methods. An introduction to structural health monitoring (SHM) is also provided.

Nonequilibrium Hypersonic Flows - AAE59000

This introductory course provides engineering students with an overview of statistical physics, physical chemistry, and the modeling of nonequilibrium thermodynamic processes. It goes on to apply these tools to predicting flow at very high speeds, for example in atmospheric entry flight. Theory and application of hypersonic aerothermodynamics will be covered evenly.

Nonlinear Dynamics, Systems and Control - AAE66600

To introduce fundamental concepts and tools which are useful in the analysis of nonlinear systems and in the design of controllers and estimators for such systems.

Nuclear Engineering Principles - NUCL50100

A first course for graduate students in nuclear engineering and an elective for students in science and engineering. The course is structured in four parts: Nuclear structure and radiation interactions, biological radiation effects and radio isotope applications Basics of neutron and reactor physics, neutron diffusion and reactor criticality Reactor systems, heat generation, heat transfer and safety Nuclear materials, reactor licensing and waste

Nuclear Engineering Systems - NUCL50200

A second course for graduate students desiring a nuclear engineering sequence and an elective for students in science or engineering. Principles and practice of nuclear power plant systems with design applications, reactor kinetics, reactor control, radiation protection, shielding, nuclear fuels, fuel cycles, waste management, thermal cycles, heat transport, thermal hydraulics, reactor accidents, and safety analysis

Nuclear Reactor Theory I - NUCL51000

Methodologies of neutron flux calculations, diffusion and slowing down theory, flux separation, material buckling, resonance absorption, Doppler effect, 2-group and multi-group theories, and reactivity balances for design and operation. Introduction to reactor kinetics, delayed neutrons, point reactor kinetics, transient behavior, load changes, reactivity feedback, and safety implications.

Numerical Electromagnetics - ECE61800

The numerical solution of Maxwell's equations is studied. Numerical methods such as the Finite Element Method and the Finite Difference Method are presented for the solution of both differential and integral equations. Applications studied include: waveguides (microstrip, VLSI interconnects, optical, discontinuities), scattering (frequency selective surfaces, arbitrary scatterers), antennas, magnetics, semiconductor devices, and inverse scattering. Papers in the current literature are used.

Numerical Methods in Heat, Mass, and Momentum Transfer - ME60800

Governing conservation equations and their classification according to numerical properties. Discretization by Taylor series, weighted residual, and control volume methods. Solution of systems of algebraic equations. Discretization and solution of the convection-diffusion equation. Methods of solving the equations governing fluid flow. Mathematical modeling of turbulence, combustion, and radiation.

Numerical Methods in Mechanical Engineering - ME58100

This course will cover a range of numerical analysis techniques related to solving systems of linear algebraic equations, matrix eigenvalue problems, nonlinear equations, polynomial approximation and interpolation, numerical integration and differentiation, ordinary and partial differential equations.

Optical Imaging Systems Design - ECE59500

Upon completion of this course, students will thoroughly understand the process of optical system design and acquire the skills to carry out practical optical system design using widely used commercial design software (Zemax). This course will start with an overview of modern imaging systems and the introduction of the background knowledge points required for imaging system design. Next, we will provide systematic training for using the ray-tracing software (Zemax) to carry out practical imaging system design. The learning process involves both a theoretical understanding of the aberration of the imaging system and how to leverage design software to control and suppress the system aberration. To convert the basic design model to practical systems, we will discuss the practical aspects of imaging system design including the tolerance analysis, optomechanical integration, and the calibration and testing of imaging systems. Next, we will utilize these fundamental skills to analyze and design practical imaging solutions including camera systems and microscopic imaging systems. Finally, we will discuss the wave propagation method for analyzing high numerical aperture imaging systems.

Optimization Methods for Systems and Control - ECE58000

This course provides an introduction to various methods of obtaining the extremum (minimum or maximum) of a non-dynamical system and the use of these methods in real-life applications. Computational methods for nonlinear optimization; unconstrained optimization. Constrained optimization; linear programming; simplex method for solving linear programs; Lagrange's conditions, the Karush-Kuhn-Tucker (KKT) conditions, Least squares, Convex optimization, Global optimization methods: Genetic algorithms and Particle swarm optimization (PSO) method.

Optimization for Deep Learning - ECE69500

This course discusses the optimization algorithms that have been the engine that powered the recent rise of machine learning (ML) and deep learning (DL). The "learning" in ML and DL typically boils down to non-convex optimization problems with high-dimensional parameter spaces and objective functions involving millions of terms. Given that the success of ML models is reliant on finding solutions to these problems efficiently, the needs of ML are different than those of other fields in terms of optimization. This course introduces students to the theoretical principles behind stochastic, gradient-based algorithms for DL as well as considerations such as adaptivity, generalization, distributed learning, and non-convex loss surfaces typically present in modern DL problems.

Orbit Mechanics - AAE53200

Natural behavior of planets and moons in the solar system as well as spacecraft motion: orbit dynamics, perturbations, and stability; trajectory control, on-orbit maneuvers, and transfers; mission design, patched conics.

Perspectives on Systems - SYS50000

Engineers are frequently asked to solve problems of how to get to operate together in an effective way to achieve a goal. The term "systems engineering" (SE) is often used to refer to several different concepts, disciplines, and technical skills; engineering is both a set of rules and practices for what we do, and the processes of solving problems. However, confusion arises when proponents of one perspective interact with others, without a clear understanding of the variety of SE histories and tools. Each can play an important, complementary role in the development of a robust approach to SE and the role of the human in engineering systems. This course provides an introduction to, and references for, each of 4 distinct approaches to SE concepts/tools.

Photochemical Reactors: Theory, Methods & Applications - CE65000

Students will learn fundamental principles of photochemistry and photochemical processes that are common use. These fundamental principles will be used as a foundation to explore the behavior of photochemical reactors and methods used to evaluate and predict their behavior, including analytical and numerical methods. Applications of UV radiation will then be explored, including disinfection of water and wastewater; chemical transformations by direct photolysis, photooxidation, and photoreduction processes; and disinfection of air and surfaces. The focus in this class will be on fundamental concepts, so as to prompt their application in a wide range of settings, encourage questions and discussion, and to promote creativity.

Physico/Chemical Processes in Environmental Engineering - CE55000

Students in this class will learn fundamental principles of physico/chemical processes that are commonly used by Environmental Engineers. Examples will be given from many applications, but the emphasis will be on water, wastewater, and air treatment.

Plastics in Infrastructure and the Environment - CE59700

Powder Processing - MSE 51200

Powder Storage and Flow - ME59500

The goal of this course is to describe methods for characterizing powder flow and methods for designing bins, hoppers and chutes for storing and transferring particulate bulk solids.

Power Distribution System Analysis - ECE59500

This course covers the fundamentals of electric power distribution systems. With increased deployment of distributed generation, controllable loads and metering devices, it has become more and more important for researchers and power industry professionals to better understand power distribution systems. This course commences with an overview of distribution networks, including their components, typical topologies, and operational strategies. The course continues with the characteristics and representations of electric loads. Key components in distribution grids, including unbalanced line segments, voltage regulators, and three-phase transformers will be studied. These topics will be further integrated into the power flow analysis for unbalanced distribution networks. Special topics including load control, optimal power flow, microgrids, along with the integration of renewables, electric vehicles, smart inverters, and distributed generation will be discussed.

Power Electronic Converters and Systems - ECE61016

Part 1 of the course addresses components and modeling techniques and considers three power converters - a dc/dc converter, an ac/dc power supply, and a dc/ac inverter. Detailed and average-value modeling concepts are presented, and detailed component controls are developed. Part 2 of the course focuses on systems of power electronic converters. In particular, the concept of negative impedance instability is explored using both linear and non-linear analysis methods.

Practical Systems Thinking - SYS53000

Engineers, social scientists, and managers frequently bring people and technology together to address complex problematic situations in an equitable way that benefits people and the environment. Multiple systems concepts and methods have been developed to address these situations, and typical courses in systems focus on a relatively small portion of the rich assortment of available approaches to addressing systems problems. This course introduces students to multiple systems concepts and methods via readings and class discussion. The students then apply these concepts and methods on team-based projects. The course will emphasize critical thinking about how the concepts and methods are applicable to the problematic situations of the projects and how well the project teams were able to perform the required activities.

Preclinical and Clinical Study Design - BME56100

Medical devices are developed, manufactured, and distributed in a highly regulated environment. This course concerns the preclinical and clinical study design processes for obtaining FDA marketing approval for biomedical devices. Prior to marketing a medical device, specific governmental approval is required depended on the type of device and the risk associated with the device. This course is part of a three-course series dealing with various aspect of regulatory science of medical devices. Regulatory science considers the scientific and technical foundations that support the practical testing and regulations that ensure the safety and effectiveness of medical devices. The practice of Biomedical Engineering concerns itself with the design, development, and testing of medical devices that will be commercialized to improve or sustain life. Medical device companies, and the engineers they employ, have an ethical and legal responsibility to robustly examine the safety and performance of these devices through preclinical and clinical testing. This course covers the responsible conduct of preclinical and clinical study research necessary for obtaining marketing approval, with a focus on US FDA requirements, and using a risk-basked approach to ensuring safety and effectiveness of medical devices. Topics will include non-clinical benchtop testing, evaluation of device-tissue interactions and how they may be studied with pre-clinical animal models to predict safety and performance, statistical considerations for study design, and ethics related to responsible conduct of pre-clinical and clinical research.

Primer on RF Design - ECE60422

This is a one credit hour course, not three credit hours. Class duration: August 24 - September 25, 2020
This 1-credit-hour course covers the fundamentals of RF design. It is designed as a first course for students or engineers with limited background in high-frequency electronics. Engineers that need to understand the ???RF language??? and gain working knowledge of critical RF concepts will benefit from taking this course. Students in this class will learn the basic RF tools and design principles. By the end of this class students will be able to understand important RF concepts and how these are related to the design of practical RF blocks.

Principles and Methods of Safe Aerospace System Design - AAE59000

This course provides an overview of the processes and techniques safety engineers use to support aircraft certification efforts. The course is intended as an introduction for system and other engineers to allow you to intertwine safety with the overall aircraft development process from the onset of product development. Such a design approach and mindset facilitate “getting it right first time” as opposed to attempting to add safety on at the end, when design changes are difficult and expensive. Students taking this course should have taken at least one previous course on the systems engineering design process.

Probabilistic Estimation and Tracking - AAE59000

Probabilistic estimation and tracking theory, with a focus on aeronautics and astronautics applications. Topics include extended/unscented Kalman filtering, Gaussian mixture filtering, particle filtering, multi-sensor fusion, and target tracking.

Product and Process Design - ME55300

*Currently this course is restricted to MSME students only.

Production Management Control - IE56600

This course will develop a systematic and scientific view of the management of production systems, with particular emphasis of the Factory Physics approach. We will cover core ideas related to the analysis of production lines (including capacity analysis, influence of variability, push/pull flow control), as well as other related functions (strategy, change management, and quality systems).

Program Management: A Comprehensive Overview of the Discipline - GRAD59000

Through lectures, videos, discussion, and applied exercises, participants gain comprehensive breadth of understanding of program and project management - specifically, the multiple interrelated activities and attendant products that compose the program and project management process. Participants learn how to define the requirements for the program; allocate and schedule the work; manage unanticipated risks; and monitor cost, schedule, and performance to the planned baseline. Qualitative aspects of the process focus on how to choose an organizational structure that best fits the organization, how to motivate program personnel, and how to increase the efficiency of the multiple generations at work within the program. Course materials are designed both for effective learning during the course and for future follow-up reference.

Programmable Accelerator Architectures - ECE60827

Programmable hardware accelerators seek to fulfill the promise of continued performance and energy-efficiency gains in the era of a slowing Moore's law, larger problem sizes and an increased focused on energy-efficiency. These factors have caused hardware acceleration to become ubiquitous in today's computing world and critically important in computing's future.
This class will introduce students to the architectures of programmable accelerators. We will delve deeply into the architectures of modern massively parallel accelerators like GPUs, culminating in a course project. General topics in hardware acceleration will be discussed, including but not limited to GPGPU and massively parallel computing, approximate accelerators, reconfigurable hardware and programmable hardware for machine learning.

Programming Parallel Machines - ECE56300

This course will enable you to write programs targeting parallel machines, using any of the four major parallel programming paradigms: MPI (message passing), OpenMP (for shared memory machines), Pthreads thread programming (for shared memory machines) and, GPU programming (using Cuda). We will also discuss system architecture and memory and programming language coherency models, as these are necessary to develop correct parallel programs and to debug parallel programs when they are not correct. We will also spend time on sequential performance optimizations. This is not a course in parallel algorithms, although you will need implement one or more parallel algorithms for the course project.

Quality Control - IE53000

** This is the same course as STAT51300 Statistical Quality Control ** The course will comprise a balanced blend of the statistical quality control concepts and hands-on training in the methods, standards and guidelines currently being used for industrial quality control. The course will not assume any prior knowledge other than previous exposure to elementary probability theory; the discussion will be self-contained and all of the topics will be developed from the fundamentals. The course will enable a practising engineer to gain a firm grasp of statistical quality control methods and enable him/her to not only analyze and improve existing quality control processes, but also design and implement new quality control processes in industrial settings.

Quality Systems for Regulatory Compliance - BME56300

Course runs Mod 2 & 3: June 10 - July 30.
Medical devices are developed and manufactured in a highly regulated environment. This course will provide a basic introduction, overview, and systematic study of the intent and impact of the major federal laws and regulations governing the development, manufacturing, distribution, and marketing of medical devices. Focus is on understanding the critical elements of quality systems and quality compliance from a risk analysis perspective. Instruction in regulatory science of quality systems and compliance is provided by academics, FDA, and industry representatives with expertise in their fields. This course is part of a three-course series which will be introduced in class. This course will be delivered entirely on-line through learning modules and video conferenced Q&A.

Quantum Circuits and Systems - ECE69500

Through five decades of continued transistor scaling, the size of unit computing has almost reached its fundamental size limit, thus creating a plateau in performance for traditional CMOS based circuits. While the speed of CMOS technology is relatively saturated, quantum computation seems to be the next landmark technology in computing. By relying on quantum principles and properties - most importantly superposition and entanglement - Quantum Computers demonstrate an almost miraculous capacity to solve seemingly insurmountable problems. However, the interfacing, readout and electronic control circuitry around the Quantum Computing Core still uses CMOS technologies at room temperature, and there is a strong need to place the electronic circuitry near the Quantum Core (at a few milli-Kelvins) for scalability and performance, which leads to an entirely new paradigm of CMOS-based circuits, which is celled Cryo-CMOS. Research and development in Quantum computing as well as Cryo-CMOS are currently flourishing, with possible implementation of quantum algorithms, circuits and systems in the foreseeable future. The purpose of this course is to prepare potential circuit and systems engineers for that future by introducing them to the sate-of-the-art Cryo-CMOS circuits. This course will build basic understanding of cryogenic CMOS circuits, and highlight their use in Quantum System Applications (Computing, Sensing, Communication), which has become increasingly important in quantum research in the last few years. Two design examples will be a key component of the course.

Quantum Computing I: Fundamentals - ECE50650

This fundamentals course is part 1 of the series of quantum computing courses and covers aspects from fundamentals to present-day hardware platforms to quantum software and programming. This course provides the essential foundations required to understand computing models built from the principles of quantum mechanics. This course requires a minimal set of engineering and science prerequisites but will allow students to develop a physical and intuitive understanding of the topics.

Quantum Computing II: Hardware - ECE50651

Quantum Computing III: Algorithm & Software - ECE50652

This course is part 3 of the series of Quantum computing courses, which covers aspects from fundamentals to present-day hardware platforms to quantum software and programming.

Quantum Detectors & Sensors - ECE69500

Learners will experience an overview of foundational ideas on which future quantum technology will be built. This course introduces the knowledge that will empower students to understand the difference between the quantum and classical realms. Specifically, this course teaches the concept of quantum detectors, which are central to a wide variety of quantum technologies from computing to networking. Students will also learn about quantum sensors and how they push the frontiers of existing classical sensor technology. Students can expect to learn skills for designing next generation information/communication/imaging systems that exploit unique functionality of quantum detectors and sensors.

Quantum Detectors - ECE69500

Classical detectors and sensors are ubiquitous around us from heat sensors in cars to light detectors in a camera cell phone. Leveraging advances in the theory of noise and measurement, an important paradigm of quantum metrology has emerged. Here, ultra-precision measurement devices collect maximal information from the world around us at the quantum limit. This enables a new frontier of perception that promises to impact machine learning, autonomous navigation, surveillance strategies, information processing, and communication systems. Students in this in- depth course will learn the fundamentals about state-of-the-art quantum detectors and sensors.

They will also learn about quantum noise and how it limits quantum devices. The primary goal of the course is to empower students with a critical and deep understanding of emerging applications at the quantum-classical boundary. This will allow them to adopt quantum detectors and sensors for their own endeavors.

Quantum Networks - ECE69500

Applying exotic quantum properties such as entanglement to every-day applications such as communication and computation reveals new dimensions of such applications. Quantum encoding and entanglement distribution provide means to establish fundamentally secure communication links for transfer of classical and quantum data. Generation, transmission and storage of quantum optical information are basic processes required to establish a quantum optical network. This course describes the physics behind these processes and overviews various implementation approaches. Technologies including quantum key distribution, quantum repeaters, quantum memories and quantum teleportation will be discussed and their engineering challenges will be evaluated.

RF Design: Passive Active Components - ECE60424

This is a one credit hour course, not three credit hours. Class duration: November 2 - December 4, 2020
Following the Primer on RF Design course, this class focuses on passive and active components. We use the techniques learnt in the previous course, to design advanced RF devices including couplers, filters and amplifiers. Current research topics are discussed as appropriate.

RF System Design - ECE60423

This is a one credit hour course, not three credit hours. Class duration: September 28 - October 30, 2020

Radiation Effects and Reactor Materials - NUCL52000

Information coming soon!

Radio Frequency Integrated Circuits - ECE60420

This course aims at analysis and design of CMOS integrated radio frequency (RF), microwave and mm-wave circuits. Various modules of an RF transceiver are discussed including low noise amplifiers, mixers, oscillators, frequency synthesizers and power amplifiers. A term project on design of an RF to mm-wave module is also required.

Random Variables and Signals - ECE60000

Engineering applications of probability theory; problems on events, independence, random variables, probability distribution and density functions, expectations, and characteristic functions; dependence, correlation, and regression multivariate Gaussian distribution; stochastic processes, stationarity, ergodicity, correlation functions, spectral densities, random inputs to linear systems; Gaussian processes.

Regulatory Issues Surrounding Approval of Biomedical Devices - BME56200

Medical devices are developed, manufactured, and distributed in a highly regulated environment. This course primarily concerns the processes for obtaining FDA marketing approval or clearance for biomedical devices. Prior to marketing a medical device, governmental approval or clearance is required depending on the type of device and the risk associated with the device. This course is part of a three-course series dealing with various aspects of regulatory science of medical devices. Regulatory processes for class II and III devices, including combination devices, are covered with specific focus on 501(k) and PMA requirements; a section on Emergency Use Authorization (EUA) has also been added. Approval requirements in the EU, Japan, China, and other regions will also be considered. Throughout the course, emphasis will be placed on regulatory science, regulatory strategy and principles of interacting with regulatory agencies.

Reinforcement Learning: Theory and Algorithms - ECE59500

This course introduces the foundations and he recent advances of reinforcement learning, an area of machine learning closely tied to optimal control that studies sequential decision-making under uncertainty. This course aims to create a deep understanding of the theoretical and algorithmic foundations of reinforcement learning while discussing the practical considerations and various extensions of reinforcement learning.

Reliability Based Design - ME57100

The course is aimed at providing an engineering view (as opposed to a purely statistical view or a management view) of reliability analysis as well as reliable product design. The goal is to make the student familiar with both the statistical tools as well as the failure physics that enable one to model time to failure of products and to use such models during design phase to ensure reliable product designs. The major topics that will be covered include: probability and random variables; normal, exponential and Weibull distributions and their manipulation; reliability estimation and plotting; uncertainty quantification, load-strength analysis, Monte Carlo simulation, and first order reliability methods; reliability of mechanical and electronic systems; accelerated testing and acceleration factors; selected failure mechanisms and time to failure modeling of mechanical and electronic systems.

Reliability Physics of Advanced IC Packagine - ECE59500/ME59700

This course covers the latest developments and challenges in advanced packaging technologies, such as 2.5D, 3D, fan-out, and embedded packaging. The course will introduce the process, materials, and design aspects of these technologies, as well as the principle of material selection for low temperature and low CTE applications. the course will also address the electrical and mechanical reliability issues in advanced packaging, such as electro-thermal cross-talk, dielectric breakdown, electrochemical corrosion, thermal stress, and interconnection failures. the course will provide students with a comprehensive understanding of the state-of-the-art and future trends in advanced packaging, as well as the skills and knowledge to design, analyze, and optimize packaging solutions for various applications.

Requirements and Implementation of ISO 41001 - CCE59700

This course presents ISO 41001 and associated standards applicable for facility management organizations and coaches the student in the development and writing of a management system standard for a specific organization, typically an organization the student is working in or has access to details about the physical facilities used by the organization.

Safety Engineering - IE55800

Application of human factors (ergonomics) and engineering practice in accident prevention and the reduction of health hazards in the occupational environment are presented. Special attention is devoted to the detection and correction of hazards and to contemporary laws and enforcement on occupational safety and health.

Satellite Constellations and Formation - AAE59000

Seismic Design of Steel Structures - CE69700

Information coming soon!

Semiconductor Device Integration Through Simulation - ECE59500

This course will use semiconductor Technology-Computer-Aided-Design (TCAD) tools to present methods of integration of semiconductor process modules into modern CMOS devices. Commercial TCAD tools will be used by the students both to simulate device manufacturing flows and to simulate device characteristics. The objectives are both to teach the capabilities, limitations, and calibration of such commercial simulation tools, and to demonstrate their use in developing and optimizing manufacturing flows for complex modern semiconductor devices. The course will begin with the final nodes of planar MOS transistors (32nm), and proceed through FinFETs and Gate- All-Around (GAA) transistors. Process performance "boosters" such as strain engineering and high-K gate stack development will be presented and integrated into devices, along with scaling methods such as self-alignment for both device and interconnect structures. Integrated power delivery through buried power rails and back-side vias will also be presented. The ways in which non-planar (FinFET, GAA) devices surpass the limitations of planar device scaling through structural advantages in channel potential control will be explained and demonstrated through simulation, along with the adaptation of the integration methods developed for planar devices to optimize non-planar transistor structures. In order to simulate quantum effects in nanoscale devices, commercial TCAD tools have recently incorporated atomistic simulation - such atomistic simulation for highly scaled devices will be presented and compared to conventional TCAD transport simulation.

Semiconductor Fundamentals - ECE50641

This course is broadly accessible to students in any branch of science or engineering who would like to understand basic semiconductor physics. Those who use semiconductor devices will gain an understanding of the physics that underlies the operation of devices. Semiconductor technology developers may find it a useful starting point for diving deeper into condensed matter physics, statistical mechanics, thermodynamics, and materials science.

Semiconductor Memory Technologies and Applications - ECE59500

This course introduces students to the field of semiconductor memory technologies, which plays an increasingly important role in modern applications. It provides detailed insights into device and circuit fundamentals for SRAM, DRAM (planar DRAM, eDRAM, 3D HBM), Flash (NAND/NOR, 3D V-NAND), and emerging non-volatile memories (RRAM, PCM, MRAM, FeRAM/FeFET). The course will cover technology and scaling trends, along with a wide spectrum of case studies on modern applications such as edge computing, machine learning acceleration, HPC scientific computing, datacenter applications, hardware security, brain-inspired computing, and space electronics.

Seminar in Engineering Education (Doctor of Engineering) - ENE59500

Seminar in Engineering Education - ENE69000

Through presentations on current topics in engineering education and related subjects, this seminar strives to build an intellectual community by forging connections within the School of Engineering Education (ENE), between ENE and the other schools in the College of Engineering, with colleagues who conduct STEM education research across the campus, and with other engineering education researchers across the U.S. Speakers may come from the campus, from other universities, or from business, industry, or government. The seminar is open to the entire Purdue community. This seminar is required for doctoral students in ENE. Each student must register for two semesters of the seminar, but students may register repeatedly in multiple semesters, without limit. This zero-credit course is graded pass/fail based on participation. Weekly seminar sessions are recorded and posted to the course Blackboard site. Students taking the course online are expected to watch a posted session, write a summary of and reflection on the presentation, and submit that document to the instructor via Blackboard. The summary and reflection should be at least 500-1000 words with an emphasis on content and quality of the writing rather than length. Guidelines for the document will be provided in the syllabus. Students must submit documents for seven of the seminar presentations to receive a grade of "pass".

Simulation and Optimization - ECE61010

This skills course teaches time domain simulation and multi-objective design optimization. This course will serve the needs of ECE students in power and energy system and component design but is widely applicable to all areas of engineering and does not require domain specific knowledge.

Smart Building Systems Modeling - CE59700

Old title: Sustainable Building Design Construction and Operation More information coming soon

Smart Logistics - CE56901

Smart Manufacturing in the Process Industries - CHE55400

This course surveys the tools and techniques, which are relevant to support the multiple levels of technical decisions that arise in modern integrated operation of manufacturing resources in the chemical, petrochemical and pharmaceutical industries. The real time generation and sharing of associated data and knowledge via relevant IT methodology and the effective use of this information in the various levels of the process operations management hierarchy are currently termed Industry 4.0 (Europe) and Smart Manufacturing (US). The topics covered in the course span all of the technical components and decision levels in the operations decision hierarchy. Topics include the role of on-line and at-line process measurements, elements of sensor network design, information systems to support process operations, plant data reconciliation, detection and diagnosis of process faults, condition-based monitoring of plant assets, plant wide control, real time process optimization, production planning and scheduling, and supply chain management. Each topic will be addressed by first summarizing the basic role and scope of that component, then discussing the elements of the decision problem, and outlining some representative tools available to address that decision problem. Each major topic will include a lecture given by an industrial practitioner who will offer a perspective on the state of industrial practice.

Solid Mechanics I - ME59300

The design of modern engineering structures is intrinsically linked to the understanding and analysis of materials and structures. This course is a foundational course on graduate level knowledge in this area of engineering.

Solid-State Devices I - ECE60600

This course provides a graduate-level introduction to understanding, analyzing, characterizing, and designing the operation of semiconductor devices such as transistors, diodes, photonic devices, and more. Through a physics-based approach and hands-on projects, students will gain application-driven analytical skills to connect the foundational technology of the 21st century - semiconductor devices - to various sectors and roles in the growing microelectronics industry.

Space Flight Operations - AAE59000

Space Flight Operations will provide students with a technical foundation for the operation of Earth orbiting and planetary missions. The course covers Spacecraft design, space environment, mission planning, and industry best-practices.

Space Policy - AAE59000

Coming soon!

Space Traffic Management - AAE53300

The class starts with learning how measurements are collected and processed and them moves on non-linear orbital motion and astrodynamics in the near-Earth realm. The focus is on orbit determination and orbit improvement to detect new objects and maintain custody of them. Lastly, the class focuses on determining the probability of collision of two resident space objects.

At the end of the course the students are equipped with a fundamental Matlab toolset to investigate their own STM or SSA problems.

Spacecraft Attitude Dynamics - AAE59000

This senior level course in vehicle dynamics is based on the fundamentals from previous courses in particle and rigid body dynamics. Here, the focus is the vehicle orientation,specifically spacecraft. The students acquire the necessary and most fundamental technical competence in natural spacecraft attitude motion and the introduction to attitude control. An ability to formulate these engineering problems and the skills to analyze (as well as solve) them is addressed through homework exercises; this includes extensive computational work and the interpretation of results. The ability to communicate their analysis techniques and orally interpret their results is practiced in the homework as well as structured class discussions. The methodology is emphasized as an engineering skill with applications to other vehicle issues. Depending on the NASA launch schedules during the current semester, the projects/homework are correlated to actual spacecraft/missions. Previous missions are used as examples as well.

Statistical Inference - STAT51700

A basic estimation including unbiased, maximum likelihood and moment estimation; testing hypotheses for standard distributions and contingency tables; confidence intervals and regions; introduction to nonparametric tests and linear regression.

Statistical Methods - STAT51100

Descriptive statistics; elementary probability; sampling distributions; inference, testing hypotheses, and estimation; normal, binomial, Poisson, hypergeometric distributions; one-way analysis of variance; contingency tables; regression.

Statistical Quality Control - STAT51300

** This is the same course as IE53000 Quality Control ** The course will comprise a balanced blend of the statistical quality control concepts and hands-on training in the methods, standards and guidelines currently being used for industrial quality control. The course will not assume any prior knowledge other than previous exposure to elementary probability theory; the discussion will be self-contained and all of the topics will be developed from the fundamentals. The course will enable a practising engineer to gain a firm grasp of statistical quality control methods and enable him/her to not only analyze and improve existing quality control processes, but also design and implement new quality control processes in industrial settings.

Statistical Thermodynamics - ME50100

The molecular interpretation of thermodynamic equilibrium. Development of the partition function. Introduction to quantum mechanics and molecular spectroscopy. The Maxwell-Boltzmann formulation of statistical mechanics and applications to ideal gases, solids, radiation, and laser diagnostics. The Gibbs formulation of statistical mechanics and application to real gases. Kinetic theory and applications to transport properties and chemical kinetics.

Steel and Aluminum Alloys - MSE52000

Steel and aluminum alloy processing will be studied to provide fundamental understanding of how the final properties are influenced by processing from the extraction of metal from ore, through shaping by casting, hot-working and cold-working, and heat treatment for control of microstructure. This understanding will enable the student to go beyond comparisons of standard handbook values and recognize the fundamental metallurgical phenomena leading to differences in performance among the main alloy classifications. By examining the relationships among processing, microstructure, and properties, the course will provide the "know-how" for specifying, designing, and manufacturing with steels and aluminum alloys. This approach will be broadly applicable to industrial metallurgical practice.

Stochastic Models In Operations Research I - IE53600

An introduction to techniques for modeling random processes used in operations research - Markov chains, continuous time Markov processes, Markovian queues, Martingales, Optimal Stopping/Optional Stopping Theorem, Brownian Motion, Option Pricing.

Stochastic Processes in Information Systems - ECE69500

Stories of Success: From our Alums and Corporate Partners - ECE59500

Learn about current trends and visions for technical industries and gain professional career lessons through interactive presentations and student-led Q&A by leading alums and technical leaders from the corporate partners of the Elmore Family School of Electrical and Computer Engineering. In addition, some of the sessions will have panels with a mix of ECE faculty and above types of participants.

Structural Dynamics - CE57300

Analysis of structural members and systems subject to dynamic loads such as wind and earthquake loads; basic theory for single-degree-of-freedom and multi-degree-of-freedom analytical models of civil engineering structures; free vibration, harmonic and transient excitation, foundation motion, response spectrum, frequency domain analysis, Lagrange's equation, modal analysis, lumped parameter methods, computer methods.

Structural Stability and Design - CE57900

Structure and Dynamics of Large-Scale Networks - ECE60270

Large-scale networks are prevalent in both engineered systems (e.g., the Internet, the power grid, industrial control networks, large robotic swarms and sensor networks) and in natural systems (e.g., genetic networks, ecological networks, social and economic networks). While the specific details of such networks will depend on the application, the last few decades have seen the emergence of an underlying "science" of networks, comprised of a common language (graph theory) for representing large-scale networks, along with mathematical models and analytical techniques for studying structure and dynamics. This course will provide a detailed introduction to the field of network science. It will develop common mathematical representations of networks, metrics for identifying important features of networks, generative mechanisms for networks (including both random-graph and strategic network formation perspectives), and tools for studying dynamical processes on networks (such as information cascades, opinion dynamics and interconnected dynamical systems).

Subsurface Hydrology - CE54400

Succeeding as an Engineering Professor - ENE69500

Each week, students must login for one hour via WebEx for LIVE participation in the class. This course is one of four required for a graduate certificate in Teaching and Learning Engineering. The other three courses are devoted to educational methods and practice. This course is designed provide students with an opportunity to learn and practice the skills that complement and enhance teaching and learning in a tenure-track faculty position at either a research intensive university or at an institution that focuses on undergraduate engineering education. Teaching a course is only one aspect of helping students to learn. Obtaining funding for research, mentoring graduate and advanced undergraduate students, and building a network that continually provides new information related to doing the job well all contribute to a faculty member's ability to help students learn.

Superalloys - High Temperature - MSE59700

Superalloys are Fe-, Ni-, and Co-based alloys possessing an exceptional balance of properties that typically include high-temperature strength, oxidation/corrosion resistance, toughness, and microstructure stability. These alloys are used in industries ranging from chemical processing, to nuclear power, to aerospace. This course will cover the fundamentals of the physical metallurgy, processing routes and manufacturing, high temperature deformation mechanisms, and corrosion/oxidation mechanisms related to superalloys. Basic principles of lifing and identification of failure mechanisms of superalloy components will be covered. Material design and selection strategies for practical industrial applications will be presented. Beyond superalloys, we will study emerging structural alloys that include ultra-high-temperature refractory silicides and borosilicides, refractory alloys, and intermetallics.

Surrogate Methods - AAE59000

This course introduces students to the use of surrogate methods for engineering modeling and design optimization. In particular, this course introduces the fundamentals of building, selecting, validating, searching, and refining a surrogate model. Students will learn the theory behind the surrogate methods as well as how to implement and apply them to simple and practical modeling and design optimization problems. Implementations of the methods will be done using Python programming and Jupyter Notebooks. Course work includes workbook assignments, homework assignments, and tests. The course is intended for graduate students as well as senior undergraduate students.

Sustainable Aviation: Alternative Fuels, Hydrogen and Electrified Aircraft - AAE59000

More information coming soon!

System Identification - ME58400

Theory and application of System Identification methods. Connecting the world of mathematical models to experimental data - least squares methods and difference equation models. Background in probability and analysis: algebra of random variables, law of large numbers, central limit theorem. The ARMA family of models; mapping physics models to generalized ARMAX forms (linear and nonlinear); mapping the parameter estimation problem to the least squares problem (batch and recursive), and numerical solution techniques. Model (in)validation, optimal identification criteria, experiment design and data preprocessing considerations. Issues of signal to noise ratio, persistency of excitation, sampling frequency, data accuracy and data sizes.

System of Systems Modeling and Analysis - AAE56000

The goal for this course is to enable students to characterize, abstract, model, simulate, and analyze a special kind of system termed "System of Systems" (SoS). While covering a few topics in detail, the course also exposes students to interesting areas of further study and highlights the broader importance of SoS in society, including Air Transportation, Space Architecture, Defense, and power grids. The course presents recent developments in frameworks for formulating System of Systems problems, lexicon for their articulation, and analysis methodology for their study.

System-On-Chip Design - ECE69500

The incessant drive of Moore's law has created an era where most electronic systems contain chips that integrate various (hitherto discrete) components such as microprocessor, DSPs, dedicated hardware processing engines, memories, and interfaces to I/O devices and off-chip storage. Most electronic systems today - cell phones, iPods, set-top boxes, digital TVs, automobiles - contain at least one such "System-on-chip". Designing System-on-chips is a highly complex process. Before entering the traditional VLSI implementation process (RTL, logic & physical design), design teams need to perform the challenging tasks of developing a functional specification, partitioning and mapping of functions onto hardware components and software, design of a communication architecture to interconnect the components, functional/performance/power analysis and validation, and more. This course will present students with an insight into the earlier stages of the System-on-chip design process (what happens before you get down to RTL, gates, transistors, and wires). In addition to the conceptual foundations, this course will also involve significant hands-on assignments and/or a project that will give students an exposure to state-of-the-art design methodologies and platforms. This course complements ECE568, which focuses more on the software aspects of embedded systems.

Systems Analysis and Synthesis - AAE56400

State space methods for modelling, analysis and design of continuous- and discrete-time dynamical systems. Linearization. Stability, controllability, observability, stabilizability, detectability. Pole assignment and state estimation. Lyapunov analysis. Linear quadratic optimal controllers . Use of Matlab/Simulink.

Systems Engineering Processes and Professional Competencies - SYS52000

This course covers life cycle processes performed by systems engineering practitioners and soft skills essential to being a successful systems engineering practitioner. Topics include systems engineering technical processes, technical management processes, organizational strategies and operations supporting system development, tailoring of processes to industry sectors and domains, cross-cutting systems engineering methods, specialty engineering, systems engineering competencies, and relevant soft skills.

Systems Simulation - IE58000

Simulation is a process of designing and creating a computerized model of a real or proposed system for conducting numerical experiments to understand and analyze the behavior of that system for a given set of conditions. Simulation has been consistently reported as the most popular operations research tool. The main reason for simulation's popularity is its ability to deal with very complicated systems. The course introduces various simulation modeling techniques with emphasis on applications, using Arena simulation software.

Teaching Engineering Online - ENE59500

This course is designed for graduate students or professionals who either are teaching technical topics online or want to be prepared to do so. The course is organized in three modules. The first module covers fundamental concepts important when developing and teaching an online course including designing the course, creating a community of learning, using an online learning management system, integrating multimedia and virtual sessions into a course, helping students succeed in online courses, making course materials accessible, and assessing student learning. In the second module, each student will design an online instructional unit on a narrowly focused topic that the student knows well for an audience the student expects to teach. Students will be guided through the course design, adding one new feature at a time after a quick review of a fundamental principle. The third module will be very similar to the second module except students will be designing an online instructional unit for a laboratory course.

Teaching Engineering Online - Fundamentals - ENE59500

Information coming soon!

Teaching Engineering Online - Laboratory Courses - ENE59500

Information coming soon!

Teaching Engineering Online - Theory and Applications Courses - ENE59500

Information coming soon!

Technical Product Management - IE59000

This course provides an exploration of product management principles and the role of a product manager. Students will learn the basic skills and techniques to manage and launch technical products.

Technical Project Management - IE59000

This course may not be allowed on a master's plan of study if GRAD 59000-Program Management is also taken. Please consult your Graduate Program Office.

Students will learn the concepts and techniques in enough detail to be immediately useful in project situations. We will address major questions and challenges in project management including: How should projects be prioritized? What factors contribute to project failure and success? How do project managers orchestrate the complex network of relationships involving vendors, subcontractors, project team members, senior management, functional managers, and customers that affect project success? What project management system can be set up gain some measure of control? How are projects managed when the customers are not sure what they want?

Temporary Structures - Vertical Construction Module - CEM59700

This class will provide construction and design professionals the skills to understand construction loads and their combinations, wind loads and their impacts, timber design, bracing and guying design, vertical forming systems, and shoring analysis for vertical construction.

Theories of Development and Engineering Thinking - ENE50500

This course is a foundational course in engineering education research. It will delve into the learning theorists and classical research that has shaped the fields of mathematics, science, and engineering education. Students will read original work of the theorists and classical and contemporary research studies that have shaped current ideas about engineering learning and thinking. The focus of the course will be to develop theoretical frameworks related to engineering thinking and to answering the questions: (1) How does learning occur? (2) Which factors influence learning? (3) What is the role of memory? (4) How does transfer occur? (5) How should instruction occur to facilitate learning? It is helpful for students to have engaged in prior reading-and writing- intensive courses that required them to synthesize large amounts of information. For this reason, it is recommended that students are enrolled currently in a graduate program at Purdue University.

Theory and Design of Control Systems - ME57500

This course will be divided into two parts. The first part will have an emphasis on single-input single-output (SISO) control in the classical sense, i.e. with an emphasis on modeling, analysis, and control design in the frequency domain. Advanced mathematical design tools will be introduced to formalize the underlining design principles of these classical design methodologies, with a strong emphasis on the understanding of fundamental performance limitations of various controller architectures. The second half of this course will focus on modern control theory, with an emphasis on modeling, analysis, and control design in the state-space domain.

Theory of Innovation Based Problem Solving (TRIZ) - ME51601

This course introduces students to the principles and practical applications of the TRIZ (Theory of Inventive Problem Solving) method for innovation in mechanics. TRIZ provides a systematic approach to innovation and problem-solving by analyzing patterns of invention and identifying solutions to engineering challenges. Students will learn how to apply TRIZ tools and techniques to generate creative solutions, improve product functionality, and resolve design conflicts in mechanical systems. The course is project-based and students will be able to align the project topic and goals with their professional interests.

Tools and Methodologies for Designing Systems - SYS51000

Introduction to modeling tools and methods for designing engineered systems. Topics include: defining the design problem; defining and validating stakeholders and system requirements; discrete mathematics for system modeling; defining and modeling system operational scenarios; the system development life cycle; defining and modeling functional, physical, and allocated architectures; evaluating and modeling the tradeoffs between alternative architectures; and defining the system qualification process.

Topics on Advanced Scientific Machine Learning - ME69700

Turbomachinery 2 - ME53300

Turbulence and Turbulence Modeling - AAE62600

The course is broken into two parts. The first half covers basic theoretical and physical descriptions of turbulence. In the second half a wide range of turbulence models and simulation methods are presented and discussed. Topics include turbulence models typically used in commercial CFD codes as well as current research approaches.

UAS Based LiDAR Mapping - CE50503

UAS Based Mapping: Basic Principles - CE50501

UAS Based Photogrammetric Mapping - CE50502

VLSI Testing & Verification - ECE68800

Information coming soon!

Vehicular Cyber-Physical Systems - CE56201

Cyber-physical systems (CPS) are a new frontier for computational systems that transform the way people interact with engineered systems, which benefit applications in fields like transportation, aerospace, manufacturing, and health care. This course introduces students to the theoretical and practical foundations of CPS, with an emphasis on their usage in connected and automated vehicles (CAV).

Water Chemistry for Environmental and Ecological Engineering - CE55401