Manufacturing Engineering (MFGE)

MFGE 2132. Manufacturing Lab 1: Manufacturing Process and Digital Engineering.

This course provides hands-on laboratory experience in fundamental manufacturing processes and digital engineering tools. The scope includes interpretation of CAD drawing standards, laboratory safety procedures, operation of conventional machine tools, basic welding techniques, plastics and composites manufacturing, mechanical testing methods, and the use of Excel spreadsheets for engineering problem-solving. Emphasis is placed on practical skills development and the integration of manufacturing processes with digital tools for data analysis and documentation. The course is delivered through supervised laboratory activities and applied exercises. By the end of the course, students are expected to competently perform basic manufacturing operations and analyze experimental data using engineering software tools. Corequisite: MFGE 2332 with a grade of "D" or better.

MFGE 2332. Material Selection and Manufacturing Processes.

This course introduces the fundamentals of material processing, material selection, and process parameter determination for manufacturing applications. The scope includes material removal processes, forming, casting, polymer processing, semiconductor manufacturing, and assembly techniques, with emphasis on the relationships among material properties, process capabilities, cost, and product performance. Students examine how process variables influence quality, efficiency, and manufacturability. The course is delivered through lectures, case studies, and problem-solving activities. By the end of the course, students are expected to apply systematic approaches to select appropriate materials and manufacturing processes for engineering components. Corequisite: ENGR 1304 with a grade of "D" or better.

MFGE 3116. Manufacturing Lab 2: Computer Aided Design and Manufacturing.

This course provides hands-on laboratory experience in computer-aided design (CAD) and digital manufacturing processes. The scope includes 2D and 3D CNC machining, additive manufacturing, laser cutting, and waterjet cutting, with emphasis on the integration of CAD/CAM systems and effective process planning. Students develop digital models, generate toolpaths, and fabricate components using advanced manufacturing equipment. Students also create manufacturing drawings and apply Geometric Dimensioning and Tolerancing (GD&T) techniques to ensure that designs clearly communicate engineering intent and specify appropriate positional and dimensional tolerances for critical features. The course is delivered through supervised laboratory experiments and project-based assignments. By the end of the course, students are expected to produce functional parts from digital designs and evaluate how process parameters influence product quality, dimensional accuracy, and manufacturing efficiency. Corequisite: MFGE 3316 with a grade of "D" or better.

MFGE 3316. Computer Aided Design and Manufacturing.

This course introduces the principles and applications of Computer-Aided Design and Manufacturing (CAD/CAM) in modern product development and manufacturing. The course covers the design process; wireframe, surface, and solid modeling; and various types of technical drawings, including mono-detail and multi-detail part drawings, assembly drawings, and specification control drawings in accordance with ASME Y14.24 standards. The scope also includes process planning and the fundamentals of CNC programming for milling operations. Students learn to generate CNC code using CAD/CAM software for both 2D and 3D machining applications. The course is delivered through lectures, software-based exercises, and applied problem-solving activities that emphasize the integration of design and manufacturing. By the end of the course, students will be able to develop digital models and generate CNC programs for the manufacturing of mechanical components. Prerequisites: ENGR 1304 and ENGR 2300 and MFGE 2332 with grades of "D" or better. Corequisites: MATH 2471 with a grade of "D" or better.

MFGE 4176. Manufacturing Lab 3: Intelligent Robotics and Control.

This course provides hands-on laboratory experience in intelligent robotics, control systems, and industrial instrumentation. The scope includes industrial robot programming and applications, programmable logic controller (PLC) systems, PID control systems, sensors, actuators, and measurement devices used in manufacturing automation. Emphasis is placed on system integration, real-time control, and data acquisition in automated environments. The course is delivered through supervised laboratory experiments and applied projects using industrial-grade equipment. By the end of the course, students are expected to implement and evaluate automated control systems for manufacturing and robotic applications. Prerequisite: ENGR 3373 with a grade of "D" or better. Corequisite: MFGE 4376 with a grade of "D" or better.

MFGE 4315. Energy and Thermofluids Engineering.

This course provides a 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. Prerequisite: MATH 3323 and PHYS 2326 and PHYS 2126 with grades of "D" or better.

MFGE 4318. Additive Manufacturing.

This course examines the principles, technologies, and applications of additive manufacturing (AM) with emphasis on both theory and hands-on practice. The scope includes CAD standards, historical development of AM technologies, photopolymerization, powder bed fusion, extrusion-based systems, sheet lamination, beam deposition processes, design for additive manufacturing (DfAM), and safety considerations. Students explore process–structure–property relationships and system-level implications of AM in advanced manufacturing environments. The course is delivered through lectures, case studies, and laboratory-based activities. By the end of the course, students are expected to design, analyze, and evaluate additive manufacturing solutions for complex engineering systems. Prerequisite: MFGE 2332 or ME 3161 with a grade of "D" or better.

MFGE 4330. Semiconductor Manufacturing.

This course focuses on the principles, processes, and technologies involved in modern semiconductor manufacturing. Students investigate fundamental physics, materials science, and engineering concepts that form the basis of integrated circuit fabrication. Topics include crystal growth and wafer preparation, photolithography, thin-film deposition, doping and ion implantation, etching techniques, thermal oxidation, planarization, cleanroom protocols, and contamination control. The course also covers current industry trends, yield and reliability considerations, and provides an introduction to microelectromechanical (MEMS) devices, as well as design and fabrication issues for advanced micro- and nano-systems. Prerequisite: CHEM 1341 or CHEM 1335 with a grade of "D" or better.

MFGE 4355. Design of Machine Elements and Tooling.

This course introduces the principles and systematic procedures used in the design of machine elements and manufacturing tooling. The scope of the course encompasses belt and chain drives, shafts and flexible elements, springs, welded, riveted, and brazed joints, screw fasteners, rolling-contact bearings, gears, cams and followers, as well as jigs, fixtures, gages, and geometric dimensioning and tolerancing. The course emphasizes analytical techniques, standards-based design practices, and structured problem-solving methods commonly used in mechanical and manufacturing engineering design. Prerequisite: ENGR 3311 with a grade of "D" or better. Corequisite: MFGE 3316 with a grade of "D" or better.

MFGE 4357. Dynamics of Machinery.

This course covers the principles of dynamics as applied to machinery and mechanical systems. The scope includes kinematics and kinetics of particles and rigid bodies in two and three dimensions, mechanical vibrations, linkages, gear trains, and balancing of machines, with emphasis on analysis and design of mechanical components. Students learn to model motion and forces in complex machine systems and evaluate dynamic performance. The course is delivered through lectures and analytical problem-solving exercises. By the end of the course, students are expected to analyze dynamic behavior and apply dynamics principles to the design and evaluation of machinery. Prerequisite: [ENGR 2301 or ENGR 3375] and MATH 3323 with grades of "D" or better.

MFGE 4367. Polymer Matrix Composites.

This course covers the fundamental principles of combining polymers (matrix) with reinforcing fibers to create high-strength composite materials. The primary focus is on types of polymers and reinforcements, the relationship between structure and properties, and manufacturing processes used to produce composites for applications in aerospace, automotive, and other industries. Key topics include material selection, processing techniques, structure–property relationships, physical and mechanical properties, quality assurance and testing, and design considerations. Processing methods include vacuum bag molding, lay-up methods, resin transfer molding, compression molding, filament winding, pultrusion, and automated fiber placement. A brief introduction to micromechanics is also included. Prerequisite: MFGE 2332 or TECH 4362 or ME 3361 with a grade of "D" or better.

MFGE 4376. Control Systems and Instrumentation.

This course examines the theory and application of linear control systems in manufacturing. The scope includes mathematical modeling of dynamic systems, time- and frequency-domain analysis of feedback control systems, stability analysis, transducer and sensor technologies, and fundamentals of digital control. Emphasis is placed on understanding system behavior, controller design, and performance evaluation for industrial applications. The course is delivered through lectures, analytical problem-solving, and applied case studies. By the end of the course, students are expected to model, analyze, and design control systems for manufacturing processes and instrumentation systems. Prerequisite: ENGR 2300 and PHYS 2325 and PHYS 2125 and [EE 3370 or MFGE 2332 or TECH 4362] with grades of "D" or better. Corequisite: MATH 3323 with a grade of "D" or better.

MFGE 4377. Introduction to Polymer Nanocomposites.

This course introduces polymer nanocomposites with emphasis on materials, processing, characterization, and engineering applications. The focus is primarily on nanofillers such as Nanoclay, MCNT, CNF, Nanographene platelets, Nanosilica, and Nanoalumina into polymer matrices, including dispersion mechanisms, interfacial interactions, property enhancement, and structure–property relationships. Students examine manufacturing challenges, particularly low-cost processing for industrial-scale production, as well as commercial successes and market impact of nanocomposite technologies. The course is delivered through lectures, technical discussions, and case studies of industrial applications. By the end of the course, students are expected to analyze nanocomposite systems and evaluate their performance and feasibility for real-world applications.

MFGE 4378. Introduction to Industrial Robotics.

This course introduces the fundamental principles, components, and applications of industrial robotics. The scope includes analysis of robot manipulators, kinematics, end-effectors, sensors, actuators, robot programming, and control strategies for manufacturing environments. Students explore practical considerations in selecting, operating, and integrating robots into industrial systems. The course is delivered through lectures, hands-on demonstrations, and applied problem-solving activities. By the end of the course, students are expected to analyze robotic systems, develop basic robot programs, and evaluate robot performance for automated manufacturing applications. Prerequisite: MFGE 4376 or [ME 3351 and ME 3151] with a grade of "D" or better.

MFGE 4390. Manufacturing Engineering Design I.

This course is the first in a two-course sequence focused on the integrated design and development of products and manufacturing processes. The scope includes analysis of real-world engineering problems, consideration of ethical issues in design, interaction with practicing engineers, preparation of technical reports, plans, and specifications, cost estimation, project management, and professional communication. The course emphasizes practical problem-solving, team-based projects, and application of engineering design principles. By the end of the course, students are expected to develop feasible design solutions, manage project constraints, and communicate their design rationale effectively. Prerequisites: ENGR 3311 with grade of "D" or better. Corequisite: IE 3330 with grade of "D" or better.

MFGE 4391. Manufacturing Engineering Design II.

This course is the second in a two-course sequence emphasizing implementation and refinement of integrated design and development of products and manufacturing processes. The scope includes application of ethical considerations in design, analysis of real-world engineering problems, collaboration with practicing engineers, preparation of technical reports, plans, and specifications, cost estimation, project management, and professional communication. Students work on advanced, team-based design projects to apply engineering principles and design methodologies. By the end of the course, students are expected to implement, optimize, and communicate comprehensive design solutions effectively. Prerequisites: IE 3330 and MFGE 4390 with grades of "D" or better.

MFGE 4395. AI-Based Manufacturing.

This course covers the integration of artificial intelligence (AI) and emerging digital technologies within modern manufacturing systems, with emphasis on Industry 4.0 and Industry 5.0 paradigms. The scope includes AI-driven automation, cybersecurity considerations, data analytics, machine learning, digital twins, augmented and virtual reality, cyber-physical systems, and programmable logic controllers (PLCs). The course employs a combination of conceptual analysis, systems-level modeling, and applied case studies to explore intelligent and adaptive manufacturing environments. Emphasis is placed on system integration, decision-making, and the role of AI in enhancing manufacturing performance, resilience, and sustainability. Prerequisites: MFGE 3316 and [CS 1428 or CS 1342] with grades of "D" or better.

MFGE 4396. Manufacturing Systems Design.

This course focuses on the design and analysis of manufacturing systems using simulation modeling techniques. The scope includes queuing theory, discrete-event simulation methods, and the application of simulation software to model complex manufacturing processes. Students engage in design projects to develop, implement, and analyze simulations that evaluate system performance, efficiency, and resource utilization. The course is delivered through lectures, hands-on software exercises, and project-based learning. By the end of the course, students are expected to apply simulation methods to optimize manufacturing system designs and support data-driven decision-making. Prerequisite: IE 3320 with a grade of "D" or better.

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.