Schedule of Classes

Use of various modern computing technologies, including numerical analysis software and Internet-based applications. Coding of numerical algorithms as applied to engineering functions.

Full-time cooperative education assignment for manufacturing engineering and industrial engineering students who alternate periods of full-time school with periods of full-time academic or career-related work in industry. Satisfactory/Unsatisfactory.

Analysis of economic aspects of engineering decisions. Effect of interest and other cost factors on evaluation of engineering alternatives. Roles of mathematical models and other techniques in economical design and test of products. Introduction to value engineering.

Materials science in engineering. Structure of perfect solids: metals, plastics, composites, and ceramics. Structure of imperfect solids: phase equilibria; diffusion, mechanical properties, and plastic deformation; strengthening mechanisms; relation between mechanical properties and microstructural control; organic polymers; electrical conduction in materials; semi-conductors; magnetic materials.

Laboratory practices and experience for basic materials science investigations. Mechanical testing, metallographic examination and thermal treatment of metals, non-destructive and destructive testing of non-metallic materials.

A laboratory-intensive introduction to manufacturing machinery and processes, tooling, and safety. Product specification interpretation and associated planning for tooling and methods. Material removal; forming operations; casting and molding of metals and plastics; joining techniques.

Logistics terms and definitions; logistics demand forecast; transportation decision models; supply chain concepts, analyzing, designing, and implementing logistics systems.

Experimental design, analysis of variance and regression. Topics include the strategy of experimentation, factorials, blocking and confounding, fractional factorials, response surfaces, and nested and split-plot designs. Cross listed with IME 512.

Analysis of factors affecting product quality during manufacturing; process control charts; process capability studies; error of measurement; sampling plans; motivation programs; quality audit; organization. Cross listed with IME 522.

Principles, techniques, limitations, and applications of metal casting and non-metallic molding processes, traditional metal joining processes, fabrication, and assembly. Basic phenomena of near-net-shape manufacturing, tooling and equipment required, tolerances and economics. Emphasis on manufacturing parameters, design, and the resultant effects of material structure and properties. Lecture and Lab.

Introduction to the theory and practice of machining processes using Computer Numerically Controlled (CNC) technology; NC programming operations for CNC mills and lathes; transfer of parts descriptions into detailed process plans, tool selection, and NC machine codes with Design for Machining (DFM) concept verified through laboratory work; Computer-assisted CAD/CAM NC programming is emphasized. Laboratory work includes CNC machine setup, tooling setup, manual and computer assisted NC programming verification and operation.

Procedures and rationale for planning, designing, and implementing computer simulation experiments used to analyze manufacturing and service systems in engineering, business, and social sciences. Use of a 3D state-of-art simulation software tool. Cross-listed with IME 561.

Physical organization of work places and departments to optimize objectives such as material movement, safety, and worker satisfaction. Review of IME methods for work place design and productivity measurement and economic decision making. Computer solutions for layout problems and mathematical models for location problems. Cross listed with IME 566.

Theoretical background of descriptive, predictive and prescriptive analytics methods and their applications to engineering. Various artificial intelligence techniques for data mining and expert system design and implementation. Computing foundations for data management and data analytics. Applications to Production Planning and Control and Inventory Management. Cross-listed with IME 568.

This course reviews the principles and concepts required for integrated production System in order to meet customer demand in production, quality, on-time delivery, and continuously reducing manufacturing cost. Emphasis is placed on applying lean manufacturing principles, simulation techniques, and Kaizen methodologies through hands-on projects. Cross listed as IME 581.

Functional anatomy and physiology of muscle and skeletal systems and their relationship to work design. Work physiology, kinesiology, and anthropometry in relation to their application in work-place design and hand-tool design. Utilization of physical work capacity and job demands for job design, personnel assignment, and assessment of work-rest scheduling. Cross listed as IME 585.

Occupational safety and health standards and regulations. Injury and illness statistics. Employer's responsibilities and bookkeeping requirements. Hazard analysis and systems safety, occupational and environmental hazards and controls. Cross listed with IME 587.

Application of engineering principles to solve a real-world problem. Student works as member of a team assigned to a problem in a manufacturing, processing, service, or governmental organization. Requires a professional written and oral report. Cross-listed with IMT 498

Theory and application of probability and statistics. Probability, random variable, distributions, sampling distributions, Central Limit Theorem, descriptive statistics, confidence interval, and hypothesis testing with various applications from business, engineering and science.

Inferential statistical analysis for two samples; Simple and multiple regression analysis and applications; Goodness of fit test; Independence test; Experimental designs for evaluating significance of main effects and interactions of multiple variables. Cross listed with IME 412.

Mathematical model building and use of deterministic and non-deterministic tools in problem solving. Problem solving structure, linear programming, transportation and assignment algorithms, game theory, networks, branch and bound algorithms, dynamic programming, deterministic and stochastic inventory models, markov chains, queueing theory and simulation.

Analysis of factors affecting product quality during manufacturing; process control charts; process capability studies; error of measurement; sampling plans; motivation programs; quality audit; organization. A research paper required. Cross listed with IME 422

Procedures and rationale for planning, designing, and implementing computer simulation experiments used to analyze manufacturing and service systems in engineering, business, and social sciences. Use of a 3D state-of-art simulation software tool. Research projects required. Cross listed with IME 461.

Physical organization of work places and departments to optimize objectives such as material movement, safety, and worker satisfaction. Review of IE methods of work place design and productivity measurement and economic decision making. Computer solutions for layout problems and mathematical models for location problems. A research project is required. Cross listed with IME 466.

Theoretical background of descriptive, predictive and prescriptive analytics methods and their applications to engineering. Various artificial intelligence techniques for data mining and expert system design and implementation. Computing foundations for data management and data analytics. Applications to Production Planning and Control and Inventory Management. Cross-listed with IME 468.

Topics of special interest which may vary each time course is offered. Topic stated in current Schedule of Classes. May be repeated up to a maximum of 6 hrs. Combined credit for IE 590 and IME 570 may not exceed six hours.

This course reviews the principles and concepts required for integrated production System in order to meet customer demand in production, quality, on-time delivery, and continuously reducing manufacturing cost. Emphasis is placed on applying lean manufacturing principles, simulation techniques, and Kaizen methodologies through hands-on projects. A research paper is required. Cross listed as IME 481.

Functional anatomy and physiology of muscle and skeletal systems and their relationship to work design. Work physiology, kinesiology, and anthropometry in relation to their application in work-place design and hand-tool design. Utilization of physical work capacity and job demands for job design, personnel assignment, and assessment of work-rest scheduling. Research projects required. Cross listed as IME 485.

Occupational safety and health standards and regulations. Injury and illness statistics. Employer's responsibilities and bookkeeping requirements. Hazard analysis and systems safety, occupational and environmental hazards and controls. Research projects required. Cross listed with IME 487.

The course provides students with the opportunity to integrate and apply the algorithms, methodologies, and analytical tools learned in the earlier coursework to solve engineering-related real-world data analysis problems. Students will conduct a team-based project that emphasizes the key aspects of data analytics using machine learning processes and will submit a consolidated report and present the results at the conclusion of the project. In addition to learning how to work in teams, participate in project planning and scheduling, write reports, give presentations, and interpret results, students will also gain an understanding of the fundamentals of data analytics project management.

Research project or professional problem to be selected by student and advisor. May be repeated to a maximum of 3 hours credit. Beyond initial enrollment the student must register for 0 hours.