Courses

The course will cover the design, implementation, and management of modern datacenter and cloud networks. The course will also introduce students to research in related areas.

Stochastic Processes in Information Systems

This course is designed for science and engineering students who want to build solid mathematical foundations for probabilistic systems that evolve in time through random changes that occur at discrete fixed or random intervals. Instead of rigorous proofs of pure mathematics, such as using or developing measure theory, the course focuses on the mathematical principles and the intuition required to design, analyze, and comprehend insightful models, as well as how to select and apply the best models to real-world applications. The course has four parts: (1) point processes, which cover the Bernoulli process, laws of large numbers, convergence of sequences of random variables, Poisson process, and merging/splitting Poisson processes; (2) Markov chains and renewal processes, which cover finite-state Markov chains, Markov eigenvalues and eigenvectors, Markov rewards, dynamic programming, renewals, the strong law of large numbers, renewal rewards, stopping trials, Wald's equality, Little, M/G/1, and ensemble averages; (3) Markov processes, which cover countable state Markov chains and processes, the Kolmogorov differential equations, birth-death processes, reversibility, and semi-Markov processes; and (4) random walks, large deviations, and martingales.

Job Design

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.

Electromechanical Robotic Systems

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.

Distributed Energy Resources

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.

Advanced Engineering Acoustics

An extension of 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.

Power Distribution System Analysis

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.

Intellectual Property Generation and Management

This course will provide students with a comprehensive overview of the generation and management of intellectual property. Topics covered include the definition of a patent, an overview of intellectual property law, filing a patent with the USPTO, and various business aspects of managing and enforcing patents. This course is intended for engineering graduate students as well as upper-level engineering undergraduates. It may also be suitable for some students outside of engineering.

Materials for Hypersonics

MSE 568 Syllabus (Sp24).pdf

application/pdf MSE 568 Syllabus (Sp24).pdf — 148.6 KB

Introduction to Nanolithography

Driven by the US CHIPS and Science Act, there is a strong surge of interest in semiconductors in general and specifically in semiconductor manufacturing. Nanolithography is the key technology that enables the patterning of nanometer-scale device structures onto silicon wafers. This course is intended primarily for students that are targeting one of the Purdue Semiconductor Degrees. It will provide a comprehensive introduction into diffraction-based imaging, the technology and subsystems of the lithographic equipment, the metrology and process control strategies being employed in high-volume manufacturing. This course is the first in a set of three courses focused on nanolithography. The second course will cover topics from EUV Lithography, the technology used for today's most advanced semiconductor devices. The third course will cover topics in Computational Lithography, essential technology for robust imaging near to the resolution limit.