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Course
Description: Introduction to Operations Research. Creating and applying
deterministic and stochastic models for decision making. Topics include: optimization
methods; linear and other programming models; network analysis; inventory
analysis; queuing theory; Markov processes; risk and uncertainty analysis; Monte Carlo simulation.
Course
Objectives: To provide students with a basic understanding and competence
in the development, formulation and analysis of deterministic and
stochastic models. After completion of this course, students will be able
to a) analyze data from real world scenarios, b) formulate models to
describe data, c) apply appropriate techniques to solve models, and d)
understand solutions to make informative decisions.
Textbook: Taylor, B. W.
III, (2006) Introduction to Management Science, 9th Edition, New Jersey,
Pearson - Prentice Hall. ISBN – 0-13-196135-7
Course
Description: Introduction to concepts and tools in probability and
statistics, with applications to engineering design, systems analysis,
manufacturing, and quality management problems.
Course
Objectives: This course is directed towards the graduate student
who has never had a statistics course or whose last statistics course was
taken some time ago and a refresher course is required. The primary purpose of this course is to
provide a basic understanding of fundamental probability and statistical
principles, their underlying assumptions, and their use in data analysis.
Textbook:
Statistics for Engineering and the Sciences,
W.
Mendenhall, and T. Sincich; Prentice Hall
Data Analysis with MS-Excel -
Updated for Office XP/with CD-ROM
Berk, Kenneth
N. / Carey, Partrick, M. Edition: (REV)04
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ENMA - 751 - Systems of Systems Integration (Spring 2005)
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Course
Description: Baseline control during integration, verification and
validation. Topics include scheduling, baseline control, integration
testing prior to delivery, verification testing, validation testing, final
delivery review.
Course
Objectives: TBA
Textbook: TBA
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