Program Overview

Master of Engineering (MENG)

Overview

The Master of Engineering (MENG) program is designed to provide students with a comprehensive education in engineering, focusing on both theoretical foundations and practical applications. The program offers a wide range of courses, allowing students to specialize in various areas of engineering.

Courses

The MENG 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
  • Environmental law
  • Course Information: Same as ENGR 400. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. This is an online web-based course. Prerequisite(s): Senior standing or above.
• MENG 401: Engineering Management
  • Theory, strategy, and tactics of the use of project management
  • Project planning, matrix management concept, and team meetings
  • Course Information: Same as ENGR 401. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. This is an online web-based course. Prerequisite(s): Senior standing or above.
• 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
  • Trademark protection for domain names
  • Course Information: Same as ENGR 402. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. This is an online web-based course. Prerequisite(s): Senior standing or above.
• 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
  • Risk analysis
  • Course Information: Same as ENGR 403. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. This is an online web-based course. Prerequisite(s): Senior standing or above.
• 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
  • Course Information: Extensive computer use required. Recommended Background: BS degree in a STEM discipline.
• MENG 405: Foundations of Emergency Management
  • Introduces the principles of emergency management
  • History of EM in the United States
  • Roles of federal, state, and local EM agencies
  • National response concepts
  • Preparedness, recovery, and mitigation strategies
  • Course Information: Extensive computer use required. Online web-based course.
• 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.
  • Course Information: Extensive computer use required. Online web-based course.
• MENG 407: Innovation Tools and Methods
  • Introduction to tools and methods used for innovation in the development of products, systems, and services
  • 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
  • Course Information: Same as CHE 440. 3 undergraduate hours. 4 graduate hours. Prerequisite(s): CHE 410 or MENG 410 or consent of the instructor.
• MENG 412: Computational Molecular Modeling
  • Provide students with a fundamental understanding of the methods, capabilities, and limitations of molecular simulations
  • Course Information: Same as CHE 438. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): CHE 301. Recommended background: Engineering/Science.
• MENG 413: Fundamentals and Design of Microelectronics Processes
  • Design and practical aspects of the most advanced state of micro- and nano-electronics processing
  • Emphasis on thin film deposition, substrate passivation, lithography, and etching with thermodynamics, kinetics, reactor design, and optimization
  • Course Information: Same as CHE 456. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. Prerequisite(s): Graduate standing or consent of the instructor. Recommended background: Engineering/Science.
• MENG 416: Introduction to Machine Learning
  • Introduces common machine learning tasks and learning techniques
  • Broader paradigms that have been developed for these tasks
  • Ties machine learning techniques to specific real-world applications through hands-on experience
  • Course Information: Extensive computer use required. Meets eight weeks of the semester. Prerequisite(s): MENG 404; and consent of the instructor.
• 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
  • Course Information: Extensive computer use required. Meets eight weeks of the semester.
• MENG 418: Image Analysis and Computer Vision
  • Students will learn the fundamentals of computer vision
  • Develop image and object recognition, stereo depth estimation methods, and understand the vision methods used in autonomous driving systems
  • Course Information: Extensive computer use required. Meets eight weeks of the semester.
• 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
  • Course Information: Extensive computer use required. Meets eight weeks of the semester.
• MENG 420: Natural Language Processing
  • Students will be introduced to fundamental statistical and neural methods for language processing
  • Overview of numerous machine learning and deep learning algorithms for efficiently solving language processing tasks
  • Course Information: Extensive computer use required. Meets eight weeks of the semester.
• 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
  • Course Information: Previously listed as ECE 401. Extensive computer use required. Prerequisite(s): Graduate or professional standing; and consent of the instructor. Recommended background: Calculus through Differential Equations. College Physics.
• 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
  • Course Information: Extensive computer use required. Prerequisite(s): Graduate or professional standing; and consent of the instructor. Recommended background: Undergraduate background in Electromagnetic Fields.
• MENG 425: Transmission Lines for Communication and Power
  • Two-conductor lines
  • Impedance matching
  • Wideband systems
  • Scattering matrix
  • Three-phase systems
  • Course Information: Extensive computer use required. Prerequisite(s): MENG 421 or consent of instructor. Recommended background: Undergraduate knowledge of electricity and magnetism.
• MENG 426: Antennas and Arrays
  • Antenna definitions and parameters
  • Linear antennas; self and mutual impedances
  • Arrays
  • Microstrip, broadband, and reflector antennas
  • Course Information: Extensive computer use required. Prerequisite(s): Graduate or professional standing and MENG 421, or consent of instructor. Recommended background: Undergraduate knowledge of electromagnetic fields.
• 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
  • Course Information: Extensive computer use required. Prerequisite(s): Graduate or professional standing; and consent of the instructor.
• MENG 436: Wireless Data
  • Data communications
  • Existing Wireless Data Networks
  • Planning, topology, performance, and operation
  • Course Information: Same as ENGR 436. 3 undergraduate hours. 4 graduate hours. Extensive computer use required. This is an online web-based course. Prerequisite(s): Senior standing or above and a course in digital communications and an introductory course in wireless communications.
• 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
  • Course Information: Extensive computer use required. Prerequisite(s): Graduate or professional standing; and consent of the instructor. Recommended background: Background in Computer Science and Biology.
• 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
  • Course Information: Extensive computer use required. Prerequisite(s): Graduate or professional standing; and consent of the instructor. Recommended background: Calculus III and R programming language.
• MENG 483: Bioinformatics Approach to Molecular Modeling
  • Protein structure prediction and comparison
  • Monte Carlo and molecular dynamics simulations
  • Course Information: Course Information: Extensive computer use required. Prerequisite(s): Graduate or professional standing; and consent of the instructor. Recommended background: Background in Computer Science and Biology.