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Case studies, visiting lecturers from financial institutions, student group projects of an advanced nature, and student reports, all centered around quantitative and computational finance. Crosslisted with MATH and MGT 6785.

This course is about enabling students to contribute professionally and/or scientifically through the next decades to the systemic design, engineering, analysis, planning, testing, implementation, operation, adaptation, and optimization of supply chain facilities and networks of such facilities. The course covers supply chain facilities such as logistic, deployment (e.g. warehousing), realization, and customer interface centers. Learning is aimed to be applicable in a wide variety of supply chain types, notably spanning e-commerce, healthcare, manufacturing, and retailing, concurrently subject to performance goals such as agility, efficiency, responsiveness, resiliency, scalability, and sustainability.

Introduction to probability, probability distributions, point estimation, confidence intervals, hypothesis testing, linear regression, and analysis of variance. Crosslisted with MATH 3770 and CEE 3770. Also, credit not awarded for both ISYE 3770 and MATH 3670.

Topics include modeling with networks and graphs; linear, nonlinear, and integer programming, construction of models employing modern modeling languages; and general solution strategies.

Point and interval estimation of systems parameters, statistical decision making about differences in system parameters, analysis and modeling of relationships between variables.