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Course Criteria
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1.00 - 3.00 Credits
Description: Teams of students will use material taught in the SIE curriculum to address a customer? needs and help a real-world client design or improve a system. Students will use a system design process, discover system requirements, identify project and technical risks, and develop a project plan and schedule. Students will communicate orally and in writing. A series of design reviews will monitor project goals, schedule, risk and progress. 498A should be taken in the student? penultimate or antepenultimate semester.Grading: Regular or alternative grades can be awarded for this course: A B C D E or S P C D E. Prerequisite(s): Senior Standing. Typical structure: 1 hour individual studies, 2 hours lecture. Usually offered: Fall.
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1.00 - 3.00 Credits
Description: Teams of students will use material taught in the SIE curriculum to address a customer? needs and help a real-world client design or improve a system. Students will use a system design process, discover system requirements, identify project and technical risks, and develop a project plan and schedule. Students will communicate orally and in writing. A series of design reviews will monitor project goals, schedule, risk and progress. Continuation of SIE-498A. Grading: Regular or alternative grades can be awarded for this course: A B C D E or S P C D E. Prerequisite(s): SIE 498A. Typical structure: 1 hour individual studies, 2 hours lecture. Usually offered: Spring.
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3.00 Credits
Description: An honors thesis is required of all the students graduating with honors. Students ordinarily sign up for this course as a two-semester sequence. The first semester the student performs research under the supervision of a faculty member; the second semester the student writes an honors thesis. Grading: Regular grades are awarded for this course: A B C D E. May be repeated: for a total of 9 units of credit. Usually offered: Fall, Spring.
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1.00 - 3.00 Credits
Description: Qualified students working on an individual basis with professors who have agreed to supervise such work. Grading: Alternative grades are awarded for this course: S P F. May be repeated: an unlimited number of times, consult your department for details and possible restrictions. Usually offered: Fall, Spring, Summer.
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3.00 Credits
Description: Qualified students working on an individual basis with professors who have agreed to supervise such work. Grading: Regular grades are awarded for this course: A B C D E. May be repeated: an unlimited number of times, consult your department for details and possible restrictions. Usually offered: Fall, Spring.
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1.00 - 3.00 Credits
Description: Axioms of probability, discrete and continuous distributions, sampling distributions. Applications of statistical estimation, hypothesis testing, confidence intervals. Grading: Regular grades are awarded for this course: A B C D E. Special course fee required: Special fee may apply for web delivered sections. See the M.Eng Website (http://www.oneflexibledegree.com) for details. Prerequisite(s): MATH 129. Usually offered: Fall.
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1.00 - 3.00 Credits
Description: Introduction to probabilistic models commonly used in systems and industrial engineering and related disciplines. Markov chains, Poisson processes, queuing models. Grading: Regular grades are awarded for this course: A B C D E. Special course fee required: Special fee may apply for web delivered sections. See the M.Eng Website (http://www.oneflexibledegree.com) for details. Usually offered: Fall.
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1.00 - 3.00 Credits
Description: Linear programming models, solution techniques, and duality. Grading: Regular grades are awarded for this course: A B C D E. Special course fee required: Special fee may apply for web delivered sections. See the M.Eng Website (http://www.oneflexibledegree.com) for details. Prerequisite(s): SIE 270 and SIE 265, or ECON 210. Usually offered: Fall.
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3.00 Credits
Description: Quality, improvement and control methods with applications in design, development, manufacturing, delivery and service. Topics include modern quality management philosophies, engineering/statistical methods (including process control, control charts, process capability studies, loss functions, experimentation for improvement) and TQM topics (customer driven quality, teaming, Malcolm Baldridge and ISO 9000). Graduate-level requirements include additional readings and assignments/projects. Grading: Regular grades are awarded for this course: A B C D E. May be convened with: SIE 406. Usually offered: Spring.
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3.00 Credits
Description: Modeling of stochastic processes from an applied viewpoint. Markov chains in discrete and continuous time, renewal theory, applications to engineering processes. Grading: Regular grades are awarded for this course: A B C D E. Prerequisite(s): SIE 321. Usually offered: Fall.
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