• IE 561: Decision Sup/Electrnc Hlth Rec

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Examination of applications and systems to promote interoperability and decisions support among healthcare applications and systems including IMPACT and MARCA. Emphasis on evidence-based practice in clinical support systems.(DE) Prerequisite: Nursing 557 and Information Sciences 584.
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• IE 565: Applied Data Science

  3.00 Credits

  The University of Tennessee - Knoxville

  
  An introduction to applied data science including machine learning and data mining tools. Topics include supervised and unsupervised algorithms, techniques for improving model performance, evaluation techniques and software packages for implementation. Emphasis will be put on real-world applications in various domains including healthcare, transportation systems, etc.(DE) Prerequisite: Programming course; statistics course.
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• IE 566: Optimization for Big Data

  3.00 Credits

  The University of Tennessee - Knoxville

  
  An introduction to modern optimization theories and algorithms for big data applications, including structure of large-scale optimization problems, algorithms for smooth and non-smooth problems, and computational efficacy of algorithms.
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• IE 575: Equipment/Systems Prognostics

  3.00 Credits

  The University of Tennessee - Knoxville

  
  The three types of prognostic techniques will be introduced with theoretical foundations, assumptions, and data requirements: Conventional reliability-based using failure times (e.g. Weibull analysis), Population based with environmental considerations (e.g. proportional hazards modeling), Individual based (e.g. general path model).Cross-listed: (See Nuclear Engineering 575.)(RE) Prerequisite(s): 579 or consent of instructor.
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• IE 579: Empir Models/Monitor Diagnost

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Development and application of advanced statistical and artificial intelligence based techniques for process and equipment monitoring and diagnostics. Linear, non-linear, parametric, and non-parametric techniques including ridge regression, principal component analysis, kernel regression. Data preprocessing, model opitmization, and uncertainty analysis will be taught. Cross-listed: (See Nuclear Engineering 579.)
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• IE 585: Process System Reliab/Safety

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Qualitative and quantitative techniques for assessing and improving process systems reliability and safety. Probabilistic risk assessment, event tree analysis, fault tree analysis, statistical inference, and associated dependent failure analysis.Cross-listed: (See Nuclear Engineering 585.)(DE) Prerequisite(s): Chemical and Biomolecular Engineering 483, Industrial Engineering 483, Mechanical Engineering 483, or Nuclear Engineering 483.Registration Permission: Consent of instructor.
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• IE 591: Spec Top: Industrial Engr

  1.00 - 3.00 Credits

  The University of Tennessee - Knoxville

  
  Individual or group research projects.Repeatability: May be repeated if topic differs. Maximum 6 hours.Registration Permission: Consent of instructor.
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• IE 592: Spec Top: Industrial Engr

  1.00 - 3.00 Credits

  The University of Tennessee - Knoxville

  
  Individual or group research projects.Repeatability: May be repeated if topic differs. Maximum 6 hours.Registration Permission: Consent of instructor.
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• IE 593: Spec Top: Industrial Engr

  1.00 - 3.00 Credits

  The University of Tennessee - Knoxville

  
  Individual or group research projects.Repeatability: May be repeated if topic differs. Maximum 6 hours.Registration Permission: Consent of instructor.
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• INDS 211: History of Industrial Design

  3.00 Credits

  The University of Tennessee - Knoxville

  
  Industrial design, product design, furniture, within a social and cultural context in a global perspective, 20th and 21st centuries.
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