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- InIn4010: Probability and
Statistics for Engineers
- This course is designed for engineering
students who need to understand the basic theory of probability and
statistics for explaining or modeling randomness in engineering
problems. The purpose of the course is to teach engineering students (i)
how to summarize and describe data; (ii) draw practical conclusions on
the basis of engineering data; and (iii) the theoretical and applied
background needed to understand and effectively use probability and
statistical models. This course is a requirement in the B.S. in IE and
it is a prerequisite for the following required courses in the IE
curriculum: InIn 4015 Engineering Economic Analysis, InIn 4020 Applied
Industrial Statistics, InIn 4021 Deterministic Models in Operations
Research, InIn 4077 Work Systems Design, and InIn 4078 Statistical
Quality Control.
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- InIn4020: Applied Industrial
Statistics
- This course is primarily designed for majors in
Industrial Engineering; however, it is appropriate for anyone (with a
background in basic probability and statistics) interested in applied
statistics, especially, distribution fitting, regression analysis and
experimental design. The purpose of this course is to provide students
the theoretical and applied background needed to understand, develop,
and effectively use statistical and probabilistic models for decision
making in industrial engineering and other engineering fields. The use
of statistical computer packages and spreadsheets is strongly
emphasized for problem solving. This course is a requirement in the
B.S. in IE and it a prerequisite for the following required courses in
the IE curriculum, InIn4009 Work Measurement, InIn 4022 Probabilistic
Models in Operations Research, and InIn 4039 Production Planning and
Control I.
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- InIn4021: Deterministic Models in
Operations Research
- This is a course primarily designed for majors
in Industrial Engineering; however, it is appropriate for anyone with
interests in optimization techniques in areas such as business,
economics, engineering, computer science, or applied mathematics. The
purpose of the course is to prepare each student for the mathematical
analysis of how best to conduct and coordinate the operations and
activities of an organization; for example, it deals with the problem
of maximizing profits by knowing how to analyze alternatives and
constraints. This course is a prerequisite for ININ 4039 Production
Planning and Control I, and it is a requirement in the B.S. in IE
curriculum.
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- InIn4078: Statistical Quality
Control
- This is a course primarily designed for majors
in Industrial Engineering; however, it is appropriate for engineering
students with a basic background in probability and statistics and
interested in the production of quality good and services. The purpose
of the course is to prepare technically competent engineers in the
areas of statistical process control, process capability analysis,
statistical tolerance setting, and basic acceptance sample procedures.
This course is a requirement in the B.S. in IE curriculum
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- InIn6078: Quality Control Systems
- This is a course primarily designed
for graduate students whose major concentration is quality control. It
is appropriate for engineering graduate students with interests in
advanced quality control and Taguchi techniques applied to
manufacturing and service industries. The purpose of the course is to
prepare each student for (i) the statistical analysis of common
quality control charts and procedures; (ii) mastering the basic
principles of quality engineering and robust design and (iii)
conducting meritorious research in quality engineering. This course is
a requirement in the quality control options of the M.S. in Industrial
Engineering and the M.E. in Industrial Engineering.
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- InIn6046: Advanced Industrial
Experimentation
- This
course is primarily designed for majors in Industrial Engineering (IE)
at the graduate level; however, it is appropriate for science and
engineering graduate students interested in experimental design. The
purpose of the course is to prepare students for: i) mastering the
theoretical and applied framework to design, conduct, and analyze
specialized experimental designs such as: response surfaces, mixture
experiments, categorical and multiple response variables experiments
and ii) conducting meritorious research in the experimental design
area. Emphasis is placed on effective modeling strategies and
interpretation of results and in the use of statistical software
packages as well. This course is an elective in the M.E. in IE.
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