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IME Graduate Courses

MSIE Level Courses

EIN 5119C - Computing Topics in Industrial Engineering (3).
Prerequisite: COP 3221 or CGS 2402. State-of-the-art computing techniques for industrial engineers. Integration of structured programming, database management systems, mathematical analysis techniques, GUI interface languages and Internet networking principles. Design, development, debugging and management of complex computer-based projects.

EIN 5322 - Engineering Management (3).
Prerequisite: EIN 5353 (Engineering Economic Analysis). Modeling of existing and future organizations. Emphasis on organizations for the 21st Century. Special consideration given to flat matrix models.

EIN 5336 - Production Control (3).
Prerequisite: ESI 5417. Basic concepts and fundamentals of production and operations analyses, planning and control. Topics include forecasting, aggregate planning, inventory control, materials requirements planning, operations scheduling, capacity management and case studies.

EIN 5353 - Engineering Economic Analysis (3).
Prerequisite: EIN 3443, MAC 3305. Feasibility science, mathematics and engineering focused on engineering economic analyses; specifically, design and system alternatives for high-technology operations.

EIN 5392 - Manufacturing Processes and Systems (3).
Prerequisite: EGN 4000. Material forming, material removal and material joining processes. Shop floor layout topics. Material flow topics. Information system topics. System integration topics. Manufacturing system evaluation topics. Case studies and design exercises.

EIN 5398 - Manufacturing Materials Processing (3).
Prerequisite: EIN 5392. Review of basic concepts and fundamental results of materials science. Fundamentals of casting processes and applications. Nontraditional methods in materials processing. Microscale material processing, with applications to microelectronics and similar structures. Industrial byproduct processing. Automation issues. Case studies and design exercises.

EIN 5399 - Concurrent Engineering (3).
Prerequisite: Graduate or senior with instructor consent. Concurrent product and process design. Product life-cycle attributes. Design for Manufacturing. Quality function deployment. Concurrent engineering project management topics. Case studies and design exercises.

EIN 5412 - Computer-Aided Manufacturing(3).
Prerequisite: EIN 4390C. CAD/CAM. Numerical Control (NC) and Computer Numerical Control (CNC). Programmable Automation. Computer-aided process planning.

EIN 5413 - Computer-Aided Process Planning (3).
Prerequisite: EIN 4390C, EIN 4312C, EGN 2123, CGS 3408. Role of process planning and computer-aided process planning (CAPP), development of CAPP, configuration of CAPP systems, input approaches of CAPP systems, process routing planning, machining operations design, variant CAPP systems, generative CAPP systems and artificial intelligence in CAPP.

EIN 5524 - System Modeling and Simulation (3).
Prerequisite: ESI 3443, FORTRAN. Discrete event, continuous and process simulation. Combined discrete/continuous simulation. Manufacturing systems modeling. Event graphs. Simulation languages and systems. Experimentation with models. Introduction to simulation-specific statistical problems. Model validation and verification issues. Design exercises.

EIN 5905r - Directed Individual Study (1-3).
(S/U grade only.) Prerequisite: Instructor consent. May be repeated to a maximum of 6 credit hours.

EIN 5930 - Failure Analysis and Design for Reliability (3).
Failure (yield and fracture) criteria with emphasis on design. Introduction to fracture mechanics and fatigue. Failure-mode analysis in metals, polymers and composites. Fractography, microscopy and nondestructive evaluation techniques. Introduction to reliability statistics and design approaches for reliability.

EIN 5930 - Data Mining AND/OR Techniques (3).
Instructs in appropriate methodology for processing and analyzing data. Instructs in finding analytical models and algorithms that would reveal internal structure and patterns of the data.

EIN 5930 - Reliability Engineering (3).
Prerequisite: ESI 5417. An introduction to reliability engineering. Applications of statistical methods for predicting product life using complete and censored data. Topics include degradation models, repairable systems, accelerated testing and failure-time regression models.

EIN 5930 - Advanced Composite Engineering Seminar (3).
Prerequisite: EMA 5182. Topics include modeling and simulation of composite fabrication processes, fiber preform/LCM process, high temperature composites, introduction to nanocomposites and multifunctional composites, and affordability analysis.

EIN 5930 - Nanomaterial and Nanotechnology (3).
Prerequisite: instructor consent. Topics includes introduction to fundamentals of nanomaterials and nanofabrication, nanoparticles and properties, nanoclay and nanotube nanocomposites, nano-biomaterials, nanoscale modeling and simulation, nanosensors and nanodevices, self-assembly and nano-manipulation.

EIN 5930r - Special Topics in Industrial Engineering (1-6).
Prerequisite: Instructor consent. Topics in industrial engineering with particular emphasis on recent developments. May be repeated to a maximum of 6 credit hours.

EIN 5931 - Leadership and Communications (3).
Prerequisite: Graduate standing. Topics include leadership theories, motivation, goal setting, planning, proposal writing and technical presentations. Presentations given by business leaders.

EIN 5936r - Graduate Seminar (0).
(S/U grade only). Research presentations by faculty, students and guests from industry.

EIN 6901r - Master's Thesis (1-6).
(S/U grade only). Prerequisite: Approval by Department. Each Master's Thesis shall be supervised by a Master’s Degree supervisory committee. Completed Master's Thesis shall be presented to the Department in the form of a written report and a seminar. May be repeated for a maximum of 9 credit hours.

EIN 8976r - Master’s Thesis Defense (0).
(S/U grade only.)

EMA 5182 - Composite Materials Engineering (3).
Prerequisite: Instructor consent. Covers basics for understanding composite materials. Topics include introduction to composite materials, properties and forms of constituent materials, consideration of composite behavior and failure modes, characterization of material performance and testing, introduction to available manufacturing techniques, laboratory demonstrations and case studies.

ESI 5154 - Statistical Process Control (3).
Prerequisite: ESI 4234. Advanced methods of statistical process control for univariate and multivariate processes. Methods for change-point detection and estimation. Control chart performance comparisons. Process capability studies.

ESI 5228 - Introduction to ISO 9000 (3).
Prerequisite: Instructor consent. Introduction to ISO 9000 quality system standards. Quality auditing. Audit report writing. Documenting the requirements. Case studies and demonstrations.

ESI 5247 - Engineering Experiments (3).
Prerequisite: EIN 5417, EGN 3443. Introduction to designing experiments and analyzing their results. Intended for engineers and scientists who perform experiments or serve as advisors to experimentation in industrial settings. Students must understand basic statistical concepts. A statistical approach to designing and analyzing experiments is provided as a means to efficiently study and comprehend the underlying process being evaluated. Insight gained leads to improved product performance and quality.

ESI 5248 - Environmentally Conscious Design and Manufacturing (3).
Prerequisite: Graduate standing. Review of basic concepts and fundamentals of environmentally conscious design and manufacturing. Topics include ecology and environment, review of environmental laws and regulations pertaining to design and manufacturing, the global picture of environmental concerns, integration of environmentally conscious design and manufacturing within a company and life-cycle analysis for product and process design.

ESI 5412 (FAMU) / ESI 5408 (FSU) - Applied Optimization (3).
Prerequisite: ESI 3312. Optimization topics relevant to industrial operations and systems. Emphasis on basic modeling assumptions and procedure implementation. Topics shall include linear programming, nonlinear programming, discrete optimization and large-scale optimization software. Design exercises. Please note: students enrolled through FAMU should register for ESI 5412, while students enrolled in FSU should register for ESI 5408. (Please see: IME website material.pdf)

ESI 5417 - Engineering Data Analysis (3).
Prerequisite: EIN 3443 or equivalent. Analysis of experimental and observational data from engineering systems. Focus on empirical model building using observational data for characterization, estimation, inference and prediction.

ESI 5451 - Project Analysis and Design (3).
Prerequisite: EGN 3613, ESI 3312. Project analysis and evaluation, utilizing networks and graph theory, advanced engineering economy, simulation procedures and other evaluation software. Project implementation topics including resource shortfalls and expediting. Case studies and design exercises.

ESI 5458 - Optimization on Networks (3).
Prerequisite: ESI 3312. Review of basic combinatorics. Basic concepts of graph theory. Matching and covering, and applications. Traversability and path problems on networks and applications. Tree problems. Network flows and applications. Eulerian paths, Hamiltonian paths and applications. Location problems on networks. Design exercises.

ESI 5524 - Advanced Simulation Applications (3).
Prerequisite: ESI 4523 or EIN 5524. Application of simulation to complex systems including material-handling systems, real-time scheduling, high-speed/high-volume production, modern manufacturing techniques, healthcare delivery and logistics. Concurrent use of simulation and other analysis techniques. Use of experimental design, output analysis and validation techniques. Case studies.

ESI 5525 - Modeling and Analysis of Manufacturing and Industrial Systems (3).
Prerequisite: ESI 5412, ESI 5408, ESI 4523, ESI 3321C, EIN 4333. Modeling and analysis of material-flow systems. Flow-shop and job-shop scheduling. Material handling system analysis. Mathematical and simulation modeling for general manufacturing and industrial systems.

PhD Level Courses

EIN 6126 - Global Manufacturing Strategy (3).
Prerequisite: EIN 5399, EIN 5524, EIN 5412. Global alliancing. Policy making. Manufacturing strategy. International standards.

EIN 6357 - Advanced Engineering Economy (3).
Prerequisite: EGN 3443, ESI 5451. Economic analysis of capital expenditure decisions. Financial mathematics and microeconomics. Decision under risk and uncertainty. Game theory and utility theory.

EIN 6396 - Manufacturing System Analysis (3).
Prerequisite: EIN 5524, ESI 5524. Review of manufacturing fundamentals, different approaches of system design, tools for analyzing manufacturing systems and metrics for evaluating manufacturing system performance. Case studies and design exercises.

EIN 6419 - Tolerancing and Metrology for Precision Manufacturing (3). Prerequisite: EIN 5398, EIN 5412. Theory and applications of tolerancing techniques in precision machining. Topics include tolerance representation, tolerance stackup, tolerance analysis and synthesis, statistical tolerancing, coordinate measuring machines, form-error evaluation algorithms and advanced topics in form-error assessment. Case studies and design exercises.

EIN 6609 - Advanced Computer Numerical Control and Applications (3).
Prerequisite: EIN 5392, EIN 5398, EIN 5412. Theory and applications of advanced numerical control for machining centers, turning centers and other manufacturing applications. Topics include programming features with advanced implications, techniques with tool offsets, CNC technique with specific machine and tool operations, parametric programming techniques, minimizing CNC execution time and CNC accessory devices. Case studies and design exercises.

EIN 6934 - Total Quality Management Concepts (3).
Prerequisite: Please consult with your advisor. This course is offered in conjunction with FEEDS.

EIN 6980r - Dissertation (3-24).
Prerequisite: Doctoral candidate standing. Mandatory class for all PhD seeking students. May be repeated to a maximum of forty-eight (48) semester hours.

EIN 8968 - Preliminary Doctoral Examination (0).
(S/U grade only.) Prerequisite: Doctoral candidate standing.

ESI 6716r - Advanced Topics in Optimization (1-9).
Prerequisite: ESI 5408. Depending on the research interests of students and the instructor, this course shall cover advanced topics in optimization and their applications in industrial engineering. Each student shall produce a tutorial paper on an optimization problem/topic to be approved by the instructor.