Industrial Engineering

Summer Course Offerings

IE Online Courses, Summer 2014:

Summer I

May 14 - June 20, 2014 
  •  IE 3600 (001) Design and Control of Industrial Systems I 3(3,0) [Internet]

Introduces central concept that overall system performance can be improved by taking uncertainty into account, especially through the reduction of variability. Specific industrial appli­cations, such as decision analysis, reliability and probabilistic inventory models, are emphasized. Preq: MTHSC 2060.

  •  IE 4620/6620 (001) Six Sigma Quality 3(3,0) [Internet]

Study of DMAIC (Define, Measure, Analyze, Improve, and Control) elements of Six Sigma, project management, process analysis, quality function deployment, hypothesis testing, gage R&R, data analysis, multivari-analysis, design of experiments, statistical process control, and process capability analysis. Preq: EXST 3010, 4110, I E 3600, MTHS 3010, 3020, or 3090, CHE 3070.

Summer I & Summer II

May 14 - August 4, 2014

  •  IE 3840 (001) Engineering Economic Analysis 3(3,0) [Internet]

Basic principles and techniques of economic analysis of engineering projects. Consideration of time, value of money, short- and long-term investments, replacement analysis, depreciation methods, cost allocation, and measures of cost effectiveness. Preq: MTHS 1080.

  •  IE 4570/6570 (001) Transportation and Logistics Engineer­ing 3(3,0) [Internet]

Introduces transportation and logistics systems analysis from both analytical and practical perspectives. Covers methods for identifying level-of-service metrics and measuring system performance. Discusses key aspects of modeling, simulation, and other techniques for economic and quantitative analysis of transportation and logistics planning issues. Preq: Senior standing in engineering, science, or management program; MTHS 1020 or 1060.

Summer II

June 25 - August 4, 2014

  •  IE 3610 (001) Design and Control of Industrial Systems II 3(3,0) [Internet]

 Introduces central concept that apparent conflict between productivity and quality can be resolved through improvements in processes by introducing statistical thinking. Specific industrial applications, such as (static) simulation, quality control and reliability models, are emphasized. Preq: I E 3600.

  •  IE 3810 (001) Methods of Operational Research II 3(3,0) [On Campus]

Probabilistic modeling of engineering systems. Topics include calculus-based probability, decision analysis, Markov processes, Poisson processes, and Queuing, and other selected topics. Preq: I E 2800, 3600.

  •  IE 4880/6880 (001) Human Factors Engineering 3(3,0) [Internet]

Introduction to human performance and limi­tations in the design of effective and efficient systems. Covers issues related to changes in technology, impact of design on society, ethical issues in design of systems, and the cost benefits from designing systems and environments that often challenge perceived notions of benefits.Preq: Junior standing; MTHS 1020 or 1060.


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