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Course Criteria
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2.00 Credits
This course provides an introduction to Computer-Aided Design and an associated finite element analysis technique. A series of exercises and instruction in Pro/ENGINEER will be completed. The operation of Mecanica (the associated FEM package) will also be introduced. Previous experience with CAD and FEA will definitely speed learning, but is not essential. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Undergraduate Schedule Types: Accelerated Course, Lecture Armour College of Engineering College Mechl, Materials & Arspc Engrg Department
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2.00 Credits
Creep mechanisms and resistance. The use of deformation mechanisms maps in alloy design. Physical and mechanical metallurgy of high-temperature, structural materials currently in use. Surface stability: High-temperature oxidation, hot corrosion, protective coatings. Alternative materials of the 21st century. Elements of process metallurgy. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate, Undergraduate Schedule Types: Lecture Armour College of Engineering College Mechl, Materials & Arspc Engrg Department
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2.00 Credits
This course covers the role of reliability in robust product design. It dwells upon typical failure mode investigation and develops strategies to design them out of the product. Topics addressed include reliability concepts, systems reliability, modeling techniques, and system availability predications. Case studies are presented to illustrate the cost-benefits due to pro-active reliability input to systems design, manufacturing and testing. 2. 000 Credit Hours 2. 000 Lecture hours Levels: Graduate Doctoral, Graduate Bu
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3.00 Credits
The scientific principles determining the structure of metallic, polymeric, ceramic, semiconductor and composite materials; electronic structure, atomic bonding, atomic structure, microstructure and macrostructure. The basic principles of structure-property relationships in the context of chemical, mechanical and physical properties of materials. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Armour College of Engineering College Mechl, Materials & Arspc Engrg Department
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3.00 Credits
The students will learn the fundamentals of probability and how to use this tool to solve common problems in industry. The course material includes a large variety of topics in business, engineering and management science. The topics include the fundaments of probability, random variables, transformations, discrete, continuous and joint distributions, normal, lognormal, bivariate and sampling distributions, parameter estimating methods, confidence intervals, hypothesis testing and regression. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law, Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
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3.00 Credits
The students will learn how to solve many of the queuing problems that are found in common industry situations. The course will show how to formulate and solve the more complex queuing problems and the methods in probability that are used in formulating the queuing models. The fundamentals of matrix systems, priority systems, Erlang systems, simulated queues, stochastic processes and markoff chains are described. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law Schedule Types: Lecture Stuart School of Business College Business Administration Department
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3.00 Credits
The objective is to learn how to generate solutions to problems, not known otherwise how to solve. The emphasizes how a simulation project is formulated from computer programming. The student learns how to generate random responses for continuous, discrete, poison process and multivariate distributions. Methods to determine the probability distribution to use and the techniques to estimate the parameter values are shown along with examples. Ways to analyze the output results from transient, steady state and fixed event models are shown. The use of response surfaces, single-factor, multi-factor, fractional, and non-linear design of experiments, non-parametric methods and min and max distributions are given. 3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law Schedule Types: Lecture Stuart School of Business College Business Administration Department
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3.00 Credits
3. 000 Credit Hours 3. 000 Lecture hours Levels: Graduate Doctoral, Graduate Business, Graduate, Master of Laws, Law, Undergraduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
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3.00 Credits
This course uses the Excel/VBA environment for developing models. Students will develop spreadsheets and write programs for forecasting, financial price simulation, option pricing, and financial statements. Add-ins are used for optimization, simulation, and decision analysis. 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
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3.00 Credits
The understanding, development, and implementation of total quality management systems with a focus on customer satisfaction and economics of quality. Concepts and tools of quality design, quality of conformance and quality of performance will be discussed. Theoretical and empirical research will be the basis of this course. 3. 000 Credit Hours Levels: Graduate Doctoral, Graduate Business, Graduate Schedule Types: Lecture Stuart School of Business College Business Administration Department
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