Schedule of Classes

Survey of industrial and manufacturing engineering. Introduction to IME and MFE techniques and tools. Not open to students with credit in any 200-level or above IME, IME, or MFE course.

Computer aided drafting, theory of orthographic projection, sections, auxiliaries, and basic dimensioning.

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.

Engineering data collection and analysis; discrete and continuous probability models; confidence intervals; tests of hypotheses; regression analysis; essentials of statistically designed experiments; engineering application of statistical methods. Extensive use of statistical computer software.

Philosophy and techniques of operations research. Emphasis on elementary model building and concepts of optimization, structure of problem solving; linear programming, transportation and assignment algorithms; game theory; network analysis, branch and bound theory; dynamic programming; decision theory involving one stage problems.

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.

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

Principles of IME applied to design of an organization's physical facilities and operating systems. Analysis and measurement of human work applied to work system design. Laboratory and interdisciplinary community projects.

Continuation of IME 301. Economic aspects of engineering decisions including techniques of obtaining cost data, product costing, and break-even analysis. Industrial practices. Cross-listed with IME 501. Not open to students with credit in IME 305.

Projects may be of an experimental, analytical, or creative nature. Course may be repeated for a maximum of 6 hours credit.

Topics of special interest which may vary each time course is offered. Topic stated in current Schedule of Classes. Course may be repeated under different topics for maximum of six hours credit.

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 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.

Properties and selection of materials for engineering applications. Mechanical and thermal treatment of materials. Destructive and non-destructive testing. Corrosion control and prevention. Wear and fracture of engineering materials. Design and testing for fracture resistance. Emphasis on case studies and applications.

Principles, techniques, limitations, and applications of metal cutting and forming processes. Phenomena of tool life, tool wear, surface integrity, resultant properties, and tolerances of these operations. Traditional forging, rolling, drawing, and extrusion processes; processing limits and resultant effects on material and component properties. Non-traditional methods and processing economics. 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.

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.

Analysis of Service-Production-Inventory systems using common planning and scheduling techniques. Mathematical models for project planning, aggregate planning, master scheduling and inventory analysis. Interface with quality control and computer systems. Cross listed as IME 583.

Logistics terms and definitions; logistics as a design process; supply chain concepts, analyzing, designing and implementing logistics systems.

The design process; interaction of materials, processes, and design; economic considerations; design considerations for machining, casting, forging, extrusion, forming, powder metallurgy; designing with plastics; design for assembly; Research projects required. Cross listed with IME 595.

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

Economic aspects of engineering decisions including techniques of obtaining cost data, cost allocation and product costing, break-even analysis, financial analysis, and investment market.

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.

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

Analytical methods in metal forming processes including slab approach, upper bound techniques, slip-line field and visio-plasticity methods. Forging, rolling, extrusion, drawing, sheet forming, near net-shape processes, and CAD/CAM.

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.

Analysis of Service-Production-Inventory systems using common planning and scheduling techniques. Mathematical models for project planning, aggregate planning, master scheduling and inventory analysis. Interface with quality control and computer systems. A research paper is required. Cross listed as IME 483.

Logistics terms and definitions; logistics as a design process; supply chain concepts, analyzing, designing and implementing logistics and supply chain systems. A research paper is required. Cross listed as IME 486.

The design process; interaction of materials, processes, and design; economic considerations; design considerations for machining, casting, forging, extrusion, forming, powder metallurgy; designing with plastics; design for assembly; A research paper required. Cross listed with IME 495.

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.