Program Overview

Master of Engineering (MENG)

The Master of Engineering (MENG) program offers a comprehensive curriculum that covers a wide range of topics in engineering, including engineering law, management, intellectual property law, reliability engineering, and more.

Courses

The program includes the following courses:

• MENG 400: Engineering Law: Overview of the legal system, legal principles affecting the engineering profession, professional ethics in engineering, intellectual property law, basic contract and tort principles, and environmental law.
• MENG 401: Engineering Management: Theory, strategy, and tactics of project management, including project planning, matrix management concept, and team meetings.
• MENG 402: Intellectual Property Law: Patent, copyright, trade secret, mask work, and cyber-squatting legal and procedural principles; protection for novel software, biotech inventions, and business methods; and trademark protection for domain names.
• MENG 403: Reliability Engineering: Probability overview; statistics overview; system reliability modeling and prediction-static methods; system reliability modeling and prediction-dynamic methods; maintainability and availability; reliability optimization; and risk analysis.
• MENG 404: Math Fundamentals for AI Engineers and Data Scientists: Concise refresher on the basics of the mathematical tools underpinning modern machine learning and artificial intelligence.
• MENG 405: Foundations of Emergency Management: Introduces the principles of emergency management, including the history of EM in the United States; the roles of federal, state, and local EM agencies; national response concepts; and preparedness, recovery, and mitigation strategies.
• MENG 406: Critical Infrastructure: Designed to enable students to formulate policies and strategies aiming to protect the leading critical infrastructure sectors in the U.S. (e.g., energy, water, telecommunications, internet, etc.).
• MENG 407: Innovation Tools and Methods: Introduction to tools and methods used for innovation in the development of products, systems, and services, including an introduction to the design thinking methodology.
• MENG 411: Non-Newtonian Fluids: Fluid mechanics and transport processes involving non-Newtonian fluids. Purely viscous and viscoelastic behavior. Viscometric functions and rheometry. Heat and mass transfer in non-Newtonian fluids.
• MENG 412: Computational Molecular Modeling: Provide students with a fundamental understanding of the methods, capabilities, and limitations of molecular simulations.
• MENG 413: Fundamentals and Design of Microelectronics Processes: Design and practical aspects of the most advanced state of micro- and nano-electronics processing with emphasis on thin film deposition, substrate passivation, lithography, and etching with thermodynamics, kinetics, reactor design, and optimization.
• MENG 416: Introduction to Machine Learning: Introduces common machine learning tasks and learning techniques and broader paradigms that have been developed for these tasks. Ties machine learning techniques to specific real-world applications through hands-on experience.
• MENG 417: Introduction to Deep Neural Networks: Introduces fundamental principles of neural networks. Topics include perceptron, multilayer networks, convolutional neural networks, and recurrent neural networks.
• MENG 418: Image Analysis and Computer Vision: Students will learn the fundamentals of computer vision and will be able to develop image and object recognition, stereo depth estimation methods, and understand the vision methods used in autonomous driving systems.
• MENG 419: Artificial Intelligence: Introduces students to the field of Artificial Intelligence (AI). Ties the theoretical foundations that underlie AI and practice in building components of rational agents.
• MENG 420: Natural Language Processing: Students will be introduced to fundamental statistical and neural methods for language processing. Students will also get an overview of numerous machine learning and deep learning algorithms for efficiently solving language processing tasks.
• MENG 421: Quasi-Static Electric and Magnetic Fields: Quasi-static approximations to Maxwell's equations. Scalar potential; capacitance; conduction; polarization; mixing formulas. Magnetization; vector potential; Biot-Savart law. Forces, energy, and power. Poynting's theorem.
• MENG 423: Foundations of Electromagnetic Compatibility: EMC requirements for electronic systems; non-ideal behavior of components; radiated and conducted emissions; susceptibility; coupling and shielding; electrostatic discharge; system design for EMS; Projects required.
• MENG 425: Transmission Lines for Communication and Power: Two-conductor lines. Impedance matching. Wideband systems. Scattering matrix. Three-phase systems.
• MENG 426: Antennas and Arrays: Antenna definitions and parameters. Linear antennas; self and mutual impedances. Arrays. Microstrip, broadband, and reflector antennas.
• MENG 435: Wireless Communication Networks: Radio technology fundamentals; channel and propagation models; channel multiple access technologies; wireless mobile communication fundamentals; generic wireless mobile network; cellular/PCS wireless mobile network standards.
• MENG 436: Wireless Data: Data communications, existing Wireless Data Networks, planning, topology, performance, and operation.
• MENG 480: Introductory Bioinformatics: Practical analysis of genomic sequences and other high-throughput data. Basics of sequence alignment, biological database search, protein motif search, gene expression analysis, and structural bioinformatics.
• MENG 481: Introduction to Biostatistics: Introduce basics about statistical treatment, model estimation, and parameter inference from observed biological data. Provide practical skills for summarizing and inference of experimental data.
• MENG 483: Bioinformatics Approach to Molecular Modeling: Protein structure prediction and comparison. Monte Carlo and molecular dynamics simulations.
• MENG 505: Environmental Risk: Covers vulnerability and risk management (RM) methodologies with an emphasis on the decision tree technique and its potential to facilitate the analysis and identification of optimal RM alternatives.
• MENG 506: Disaster Response: Teaches the development and implementation of a standards-based, auditable, and actionable Business Continuity Management (BCM) system which is a cornerstone for building disaster resilient communities.
• MENG 510: Transport Phenomena: Continuum theory of momentum, energy, and mass transfer. Viscous behavior of fluids. Laminar and turbulent flow. Thermal conduction and convection, diffusion, and coupled operations.
• MENG 512: Microhydrodynamics, Diffusion and Membrane Transport: Theoretical and numerical fluid mechanics of microstructure: potential flow and virtual mass, quasistatic versus transient Stokes flow, integral theorems, multipole expansions, singularity solutions, fluctuations, and current applications.
• MENG 520: Electromagnetic Fields: Maxwell's equations. Potentials. Constitutive relations. Boundary conditions. Polarization. Radiation from antennas. Waveguides and resonators. Exterior boundary-value problems.
• MENG 526: Electromagnetic Scattering and Radar Signatures: Exact solutions of exterior boundary-value problems; low and high frequency methods; hybrid techniques; theory of radar targets; radar cross-sections.
• MENG 527: Photonics: Optical resonators. Radiation and atomic systems. Laser oscillation. Nonlinear optics. Electrooptics and acoustooptics. Periodic media.
• MENG 535: Advanced Wireless Communication Networks: 2nd generation: IS-95-based wireless mobile network; 2nd generation: GSM-based wireless mobile network; 2.5 generation: wireless mobile data/voice network; 3rd generation: broadband wireless mobile multimedia network.
• MENG 551: Engineering Thermodynamics: Thermophysical properties; First and second laws; Closed vs open system; Thermodynamic cycles; Fluid phase equilibria and stability; Nonideal solutions and activity coefficients; Electrolytes; Gibbs-Duhem relations. Engineering applications.
• MENG 582: Computational Genomics: Modern statistical and computational methods relevant to analysis of functional genomics data; cluster analysis of gene expression profiles; methods of construction of co-expression network.
• MENG 594: Adv Special Topics Engineering: Particular topics vary from term to term depending on the interests of students and specialties of the instructor.