ENGR 5100. Seminar in Engineering.

This course examines principles of professional engineering discourse and current research trends in academia and industry. Students analyze technical presentations and scholarly work to evaluate emerging technologies and interdisciplinary research approaches. Topics include professional ethics, leadership in engineering, and the societal context of technological development. The course emphasizes critical assessment of research methodologies, synthesis of complex technical information, and effective communication of engineering ideas. Students examine connections between theoretical frameworks and applied engineering practice.

ENGR 5101. Academic Instruction for Engineering Graduate Assistants.

This course examines principles of pedagogical theory and professional responsibilities associated with academic instruction in engineering contexts. Students analyze teaching methodologies, classroom management strategies, and assessment practices used in undergraduate instruction. Topics include technical communication, academic policies, laboratory safety, and student privacy regulations. The course also addresses inclusive instructional practices and evaluation of teaching effectiveness. Emphasis is placed on the relationship between subject matter expertise and the communication of complex engineering concepts in classroom and laboratory settings.

ENGR 5105. Engineering Internship.

This course examines engineering practice in professional work environments through supervised internship experiences. Students analyze organizational structures, workflows, and technical processes within engineering firms. The course emphasizes application of engineering theory to real-world projects, including design, manufacturing, or system management contexts. Topics include professional ethics, workplace safety, technical communication, and documentation of engineering work. Students evaluate the relationship between academic preparation and professional practice while engaging in collaborative project environments. Prerequisite: Instructor approval.

ENGR 5198B. Project.

This course examines advanced project implementation and technical documentation in graduate engineering study. Students analyze experimental or theoretical data to evaluate project outcomes and design objectives. The course emphasizes application of analytical methods, integration of complex data, and development of technical conclusions under faculty supervision. Topics include evaluation of project results in relation to industry standards, documentation of methodologies, and preparation of comprehensive project reports. Students present and communicate project findings using professional engineering formats. Prerequisite: Instructor approval.

ENGR 5199B. Thesis.

This course examines advanced data synthesis and technical writing required for completion of a master’s thesis in engineering. Students analyze experimental or theoretical results to evaluate research questions and hypotheses. The course emphasizes application of analytical frameworks, integration of complex data, and documentation of research methodologies under faculty supervision. Topics include evaluation of findings in relation to existing scholarly literature and professional standards, as well as preparation of a formal thesis. Students present and defend their research using appropriate academic and professional formats.

ENGR 5201. Academic Instruction for Engineering Graduate Assistants.

This course examines pedagogical strategies, instructional design, and professional responsibilities for graduate instructional assistants in engineering. Topics include development of course materials, grading methodologies, and university policies related to academic instruction. Students engage in reflective analysis of teaching practices, with attention to critical thinking and instructional approaches in technical curricula. The course addresses evaluation of student learning outcomes, classroom and laboratory management strategies, and development of instructional plans in engineering education contexts.

ENGR 5299B. Thesis.

This course examines advanced data synthesis and technical writing required for completion of a master’s thesis in engineering. Students analyze experimental or theoretical results to evaluate research questions and hypotheses. The course emphasizes application of analytical frameworks, integration of complex data, and documentation of research methodologies under faculty supervision. Topics include evaluation of findings in relation to existing scholarly literature and professional standards, as well as preparation of a formal thesis. Students present and defend their research using appropriate academic and professional formats.

ENGR 5310. Probability, Random Variables, & Stochastic Processes for Engineers.

This course introduces the fundamental principles of probability, statistics, random variables, and stochastic processes used in the analysis and design of engineering systems. Core topics include probability theory, discrete and continuous probability distributions, and mathematical descriptions of random variables. Statistical methods for analyzing engineering data, including estimation and inference, are examined. Stochastic processes are presented as models for systems that evolve over time under uncertainty. Applications of probabilistic and statistical methods are analyzed in engineering contexts such as system performance evaluation, signal behavior, control systems, and modeling of physical systems affected by randomness.

ENGR 5321. Environmental Chemistry.

This course examines environmental chemistry principles relevant to natural and engineered systems. Topics include geochemistry and atmospheric chemistry to understand pollutant sources, transport, transformation, and impacts across the atmosphere, hydrosphere, lithosphere, and biosphere. The course integrates concepts from sustainability, green chemistry, and green engineering. Students engage in quantitative analysis, modeling, and evaluation of treatment and remediation processes. Emphasis is placed on analyzing contaminant behavior and evaluating environmentally responsible approaches to materials, processes, and technologies.

ENGR 5322. Low Impact Development and Green Infrastructure.

This course covers the principles and practices of Low Impact Development and Green Infrastructure (LID/GI) for sustainable development and water management. Students study approaches such as rainwater harvesting, small-scale systems, and resource recovery. The course examines design strategies and technologies used to reduce environmental impacts and manage water resources. Students evaluate LID/GI practices related to system performance, efficiency, and sustainability. Emphasis is placed on practical applications and techniques used in water resources and urban infrastructure systems.

ENGR 5323. Soil and Groundwater Remediation.

This course covers remediation technologies for contaminated soil and groundwater. Topics include subsurface hydrology, contaminant fate and transport, and physicochemical and biological remediation methods. The course examines monitoring techniques and strategies for brownfield redevelopment. Students evaluate subsurface contamination and its environmental impacts. Emphasis is placed on practical applications, regulatory considerations, and approaches to site cleanup. The course addresses design and implementation of remediation systems in environmental engineering contexts.

ENGR 5324. Water Reuse.

This course explores the role of water reuse in water resources management, addressing engineering principles and interdisciplinary considerations. Topics include advanced treatment technologies, regulatory frameworks, and environmental and economic impacts across agricultural, industrial, and urban applications. Students engage in case studies, quantitative analysis, and system-level evaluation of water reuse applications. Emphasis is placed on design and assessment of water reuse systems in relation to regulatory requirements and operational considerations.

ENGR 5330. Advanced Soil Mechanics.

This course is a graduate-level geotechnical engineering course covering fundamental principles of soil behavior. Topics include soil composition, index properties, classification, compaction, total and effective stress, consolidation and secondary compression, and drained and undrained shear strength, including friction, cohesion, dilatancy, and critical state concepts. The course also examines the effects of stress history and rate of loading. A required laboratory component provides experience in characterizing soils for engineering purposes, including stress–deformation and strength behavior, and introduces ASTM geotechnical laboratory testing procedures and standards.

ENGR 5332. Earth retaining structures and slopes.

This course covers the analysis and design of a range of earth retaining structures and the evaluation of slope stability. Students learn fundamental lateral earth pressure theories and apply them to the design of gravity walls, cantilever walls, mechanically stabilized earth walls, soil nails, and tiebacks. Slope stability analysis includes infinite slopes, methods of slices, chart-based solutions, and finite element methods using commercial software. Additional topics address slope remediation techniques and the use of geosynthetics for stabilization in geotechnical engineering practice.

ENGR 5333. Ground Improvement Techniques.

This course presents advanced topics in ground improvement for challenging sites, including remediation of seepage and strength-related issues. Topics include techniques such as deep soil mixing, jet grouting, dynamic compaction, vibro-compaction, stone columns, rigid inclusions, and permeation grouting. Emphasis is placed on addressing liquefaction, settlement, hydraulic conductivity, and stability concerns. The course integrates field investigation methods, design principles, performance evaluation, and long-term monitoring considerations. Applications include natural and reclaimed land environments, such as coastal, offshore, and urban redevelopment sites.

ENGR 5334. Advanced Foundation Engineering.

This course examines advanced topics in foundation design, including analysis and construction of shallow and deep foundations. Shallow foundation topics emphasize mat foundations and their application to pile-raft systems. Deep foundation topics include driven piles, drilled shafts, micropiles, and auger cast-in-place piles. The course covers axial and lateral capacity, settlement, and pile group effects for various foundation types. Additional topics include subsurface exploration and analysis of pile behavior using wave equation methods.

ENGR 5341. Advanced Bituminous Materials.

This course examines advanced concepts in bituminous materials, including asphalt binders, aggregates, and mixture systems used in pavement engineering. Emphasis is placed on the characterization of asphalt materials and their influence on mixture design and performance. The course analyzes mix design procedures, material interactions, and factors affecting mechanical response and durability. Modern approaches to asphalt pavement design and construction are considered, including performance-based specifications and evaluation methods. Applications include the assessment of mixture behavior under traffic loading and environmental conditions using current engineering practices.

ENGR 5351. Advanced Reinforced Concrete Members.

This course examines advanced topics in reinforced concrete materials, specifications, behavior, and structural design. Topics include flexural behavior and design of reinforced concrete members, behavior and design of slender columns, and design of structural components such as frame joints and walls. Additional emphasis is placed on serviceability, durability, and anchorage design using splices, hooks, and mechanical devices. Students interpret design provisions and apply engineering principles to evaluate and design reinforced concrete systems in accordance with relevant standards and specifications.

ENGR 5352. Advanced Prestressed Concrete.

This course examines the fundamental theories, principles, and behavior of prestressed concrete systems. Topics include the analysis and design of prestressed components subjected to axial, flexural, and shear loads. Emphasis is placed on prestress effects, load transfer mechanisms, and structural responses under service and ultimate limit states. Applications of prestressed elements in infrastructure systems, including bridges and structural components, are addressed, with attention to practical design considerations, material behavior, and relevant design codes and specifications for engineering practice.

ENGR 5353. Earthquake Engineering.

This course examines earthquake ground motion, wave propagation, and structural dynamics, including modal analysis and linear and nonlinear response of single- and multi-degree-of-freedom systems. The effects of earthquakes on structures are analyzed, and earthquake-resistant design principles, including force-based, displacement-based, and energy-based approaches, are evaluated. Emphasis is placed on understanding dynamic structural response, interpreting analytical results, and applying seismic design concepts to structural systems subjected to earthquake loading in practical engineering applications and design scenarios encountered in engineering practice.

ENGR 5361. Pavement Asset Management.

This course examines data-driven strategies for managing pavement systems at network and project levels. Topics include condition evaluation technologies for flexible and rigid pavements, including distress, roughness, friction, and structural assessment based on national and state standards. The course covers application of statistical models for performance prediction and interpretation of results to inform maintenance and rehabilitation decisions. Students design optimization and ranking techniques for resource allocation. The course includes collaborative projects involving analysis and communication of pavement management solutions.

ENGR 5362. Advanced Traffic Engineering.

This course provides an advanced introduction to the components of highway traffic systems and traffic engineering principles. Topics include traffic stream characteristics, level of service, and capacity of urban and rural highways. The course covers traffic data collection using fixed and mobile sources, macroscopic and microscopic traffic modeling, warrants for traffic control devices, and design and analysis of traffic signals and timing plans. Analysis of traffic characteristics using empirical data and simulation software is included.

ENGR 5363. Road Infrastructure Safety.

This course introduces road infrastructure safety and related analytical methods. Topics include road safety analysis, highway safety management systems, count data modeling, crash severity modeling, short-term crash prediction, road safety audits, network screening, and choice modeling. The course also covers fundamentals of artificial intelligence and machine learning, human factors in transportation, and safety-focused design principles, including the Safe System Approach. Emphasis is placed on analysis of roadway safety data and evaluation of engineering approaches to roadway safety.

ENGR 5372. Water, Climate, and Disasters.

This course examines interactions between water and climate systems and their relationship to the occurrence, magnitude, and frequency of natural disasters. Topics include climate impacts on hydrology, water resources, and extreme events such as floods, droughts, heat waves, landslides, and wildfires. The course also addresses disaster risk management and adaptation strategies in relation to weather- and climate-related hazards. Emphasis is placed on analysis of hydroclimatic processes and evaluation of approaches to managing risks associated with extreme events.

ENGR 5384. Problems in Engineering.

This course provides graduate students with the opportunity to investigate a specialized engineering topic through development of a technical problem, review of relevant literature, and presentation of findings. Students conduct independent study under faculty supervision, focusing on a defined area of engineering. The course includes formulation of research questions, application of appropriate analytical or design methods, and evaluation of results. Deliverables may include research papers, presentations, or project reports that demonstrate application of engineering principles and technical communication skills. Prerequisite: Instructor approval.

ENGR 5398A. Project.

This course examines foundational project development and methodologies required for initiating a graduate-level engineering study. Students analyze technical literature and existing frameworks to define an original engineering problem. The course emphasizes formulation of a project proposal and identification of experimental or theoretical approaches to address technical challenges. Students apply analytical methods, simulation tools, and engineering principles under faculty supervision. Topics include preliminary data collection, feasibility assessment, and consideration of ethical and regulatory factors in project design. Prerequisite: Instructor approval.

ENGR 5398B. Project.

This course examines advanced project implementation and technical documentation in graduate engineering study. Students analyze experimental or theoretical data to evaluate project outcomes and design objectives. The course emphasizes application of analytical methods, integration of complex data, and development of technical conclusions under faculty supervision. Topics include evaluation of results in relation to industry standards, documentation of methodologies, and preparation of a comprehensive project report. Students present and communicate project findings using professional engineering formats. Prerequisite: Instructor approval.

ENGR 5399A. Thesis.

This course examines foundational research methods and processes required for development of a master’s thesis in engineering. Students analyze technical literature to define a research problem and develop a thesis proposal. The course emphasizes selection of experimental or theoretical approaches, application of analytical methods, and integration of modeling and simulation tools under faculty supervision. Topics include feasibility assessment, preliminary data analysis, and consideration of ethical and intellectual property issues. Students prepare a formal thesis proposal and supporting documentation.

ENGR 5399B. Thesis.

This course examines advanced data synthesis and technical writing required for completion of a master’s thesis in engineering. Students analyze experimental or theoretical results to evaluate research questions and hypotheses. The course emphasizes application of analytical frameworks, integration of complex data, and documentation of research methodologies under faculty supervision. Topics include evaluation of findings in relation to scholarly literature and professional standards, as well as preparation of a formal thesis and presentation of research results.

ENGR 5599B. Thesis.

This course examines advanced data synthesis and technical writing required for completion of a master’s thesis in engineering. Students analyze experimental or theoretical results to evaluate research questions and hypotheses. The course emphasizes application of analytical frameworks, integration of complex data, and documentation of research methodologies under faculty supervision. Topics include evaluation of findings in relation to scholarly literature and professional standards, as well as preparation of a formal thesis and presentation of research results.

ENGR 5999B. Thesis.

This course examines advanced data synthesis and technical writing required for completion of a master’s thesis in engineering. Students analyze experimental or theoretical results to evaluate research questions and hypotheses. The course emphasizes application of analytical frameworks, integration of complex data, and documentation of research methodologies under faculty supervision. Topics include evaluation of findings in relation to scholarly literature and professional standards, as well as preparation and defense of a formal thesis.

ME 5310. Continuum Mechanics.

This course introduces fundamental continuum mechanics concepts required for modeling the physical behavior of solids and fluids. The topics covered include indicial notation, tensor algebra, tensor calculus, rectangular Cartesian and curvilinear coordinate systems, kinematics of a continuum, strain analysis, stress analysis, basic constitutive models for solids and fluids, field equations governing continuous media, and applications to selected problems in solid and fluid mechanics. By considering constitutive models for both solids and fluids, the course establishes the foundation for a unified framework to analyze complex boundary value problems in the field of mechanical engineering.

ME 5311. Mechanical Vibrations.

This course examines fundamental concepts of the vibration of mechanical systems with an emphasis on both analytical and computational approaches. Topics include equations of motion, free and forced vibrations of undamped and damped single- and multi-degree-of-freedom mechanical systems, self-excitation and stability analysis, application of transfer functions to vibration problems, Lagrange’s equations of motion, and determination of natural frequencies and mode shapes of multi-degree-of-freedom systems. Numerical methods such as modal estimation, modal truncation, and Fourier methods are also be discussed.

ME 5312. Mechanics of Composite Materials.

This course examines the deformation, stress, and strength behavior of continuous-fiber polymer-matrix laminated composites. Students analyze micromechanical models for predicting stiffness, thermal and hygrothermal expansion, and other material properties of composite laminae. The course covers classical lamination theory, including the formulation of laminate stiffness and strength, as well as environmentally induced stresses and their effects on material performance. Computational approaches are considered for evaluating laminate response, designing composite structures, and predicting effective material properties. Applications to aerospace, automotive, and advanced manufacturing systems illustrate how theoretical models inform engineering design and performance assessment.

ME 5321. Applied Finite Element Analysis.

This course provides an introduction to the finite element method (FEM). Two aspects are considered: The theoretical foundations of the method and the use of existing finite element analysis (FEA) software. Topics covered in the theory portion include the direct method, the variational method, and the weighted residuals method. Topics covered in the laboratory portion include typical pre- and post-processing modules, different types of elements, analysis of simple time independent stress analysis and heat transfer problems, and practical aspects related to the creation of a finite element model.

ME 5332. Modern Heating, Ventilating, and Air Conditioning.

This course focuses on current and emerging practices in heating, ventilating, and air conditioning (HVAC), including psychrometrics, standards, ventilation requirements, load estimation, air filtration, air sterilization, and building energy system design, simulation, and control. The scope includes both component-level analysis and whole-building performance, with emphasis on indoor air quality, energy efficiency, and regulatory and code compliance. Analytical and simulation-based design exercises are considered. Upon completion, students will be able to analyze, design, and evaluate HVAC systems for contemporary residential and commercial buildings.

ME 5341. Computational Fluid Dynamics.

This course examines advanced principles and engineering applications of Computational Fluid Dynamics (CFD) for fluid flow and heat transfer analysis. The course covers governing equations, numerical methods, model formulation, and the selection of CFD parameters for steady-state and transient simulations. Applications include isothermal and non-isothermal systems, incompressible and compressible flows, porous media, and rotating machinery. Using commercial CFD software, students develop and assess simulation models for complex thermo-fluid problems. By the end of the course, students will be able to perform advanced CFD analyses, evaluate solution quality, and interpret results for engineering research and design.

ME 5355. Autonomous Systems and Robotics.

This course introduces different types of autonomous systems, such as autonomous driving vehicles, drones, and robots. It provides an introduction to the methods and algorithms used in the design, construction, and operation of such systems. Emphasis is placed on the application of autonomous systems, their components, and their underlying control algorithms. Topics include simultaneous localization and mapping (SLAM), sensor fusion, real-time decision-making, machine learning, information processing, path planning, localization, and intelligent control. Students implement material learned in previous courses such as dynamics and machine design along with modern autonomous system algorithms to synthesize a complex autonomous system as part of their project work.

MFGE 5315. Energy and Thermofluids Engineering.

This course provides an advanced study of energy and thermofluids engineering based on fundamental principles of fluid mechanics, thermodynamics, and heat transfer. The scope includes properties of pure substances, fluid statics and dynamics, non-Newtonian fluids, differential analysis of fluid flow, viscous flow in pipes, external flows, boundary layers, open channel flows, control volume analysis of mass and energy, first and second laws of thermodynamics, steady and transient conduction, forced and natural convection, radiation, and mass transfer. The course is delivered through lectures, problem-solving sessions, and applied engineering examples. By the end of the course, students are expected to analyze thermofluid systems and apply principles to optimize energy-related processes.

MFGE 5316. Advanced Computer Aided Design and Manufacturing.

This course provides an advanced study of Computer Aided Design and Manufacturing (CAD/CAM) with emphasis on theoretical and practical aspects of modeling and multi-axis manufacturing. The scope includes design processes, theoretical foundations of CAD modeling, mathematical representation of wireframe, surface, and solid models, geometric transformations and object manipulation, process planning, fundamentals of 2-, 3-, and 5-axis CNC milling operations, CNC code generation, and waterjet machining. The course is delivered through lectures, software exercises, and applied projects. By the end of the course, students are expected to develop complex CAD models and generate CNC programs for advanced manufacturing processes.

MFGE 5318. Additive Manufacturing.

This course provides an advanced study of additive manufacturing (AM) theory, techniques, and applications with emphasis on research-level understanding and system integration. The scope includes CAD standards, process physics, material behavior, photopolymerization, powder bed fusion, extrusion-based systems, sheet lamination, beam deposition processes, design for additive manufacturing (DfAM), and safety considerations. Students critically examine process–structure–property relationships, parameter optimization, and emerging developments in AM technologies. The course is delivered through lectures, technical literature review, hands-on activities, and analytical projects. By the end of the course, students are expected to evaluate, optimize, and develop additive manufacturing strategies for advanced engineering applications.

MFGE 5320. Polymer Nanocomposites.

This course provides an advanced study of polymer nanocomposites with emphasis on materials, manufacturing, characterization, and engineering applications. The scope focuses primarily on nanofilled polymer composites, covering morphological, thermal, mechanical, and electrical characterization techniques. Applications such as magnetic, low thermal expansion, fire-resistant, ablative, fatigue-resistant and bio-based composites are explored. The course is delivered through lectures, laboratory exercises, literature review, and applied problem-solving projects. By the end of the course, students are expected to evaluate material properties, optimize manufacturing processes, and design nanocomposite systems for advanced engineering applications.

MFGE 5326. Advanced Robotics in Manufacturing Automation.

This course explores advanced principles and techniques in robotics for manufacturing automation. Topics include industrial robotics, robot kinematics and dynamics, path planning, advanced and force control, sensors and actuators, mobile robotics, and an introduction to nanorobotics. Emphasis is placed on analytical modeling, simulation, and implementation of robotic systems in automated manufacturing environments. Students engage in problem-solving and system-level evaluation to assess robotic performance. Upon completion, students will be able to analyze, design, and evaluate advanced robotic systems for complex manufacturing applications. Prerequisite: Instructor approval.

MFGE 5330. Semiconductor Manufacturing.

This course focuses on the principles, processes, and technologies involved in modern semiconductor manufacturing. Students will explore the fundamental physics, materials science, and integrated circuit manufacturing. Topics include crystal growth and wafer preparation, photolithography, thin-film deposition, doping and ion implantation, etching techniques, oxidation, planarization, cleanroom protocols, and contamination control. The course also introduces trends in microelectromechanical (MEMS) devices and design issues for fabrication of micro and nano-systems.

MFGE 5367. Polymer Matrix Composites.

This course develops students’ ability to explain, analyze, and evaluate composite materials formed by combining polymer matrices with reinforcing fibers. Students analyze how material structure and processing methods affect physical and mechanical properties and evaluate materials and manufacturing techniques for aerospace, automotive, and related applications. Emphasis is placed on comparing and selecting composite processing methods—including vacuum bag molding, lay up, resin transfer molding, compression molding, filament winding, pultrusion, and automated fiber placement—based on design, quality, and testing considerations. An introductory application of micromechanics supports material selection and design decisions.

MFGE 5395. AI-Based Manufacturing.

This course focuses on the integration of artificial intelligence (AI) and emerging technologies within modern manufacturing systems, emphasizing Industry 4.0 and Industry 5.0 frameworks. Students explore the application of AI, cybersecurity, data analytics, augmented and virtual reality, digital twins, cyber-physical systems, and programmable logic controllers (PLCs) in advanced manufacturing environments. Emphasis is placed on system integration, intelligent automation, and data-driven decision making. Students develop the ability to design, evaluate, and manage adaptive, secure, and resilient manufacturing systems.