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

Independent research conducted under the guidance of a faculty member.

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Introduce IE/OR/ACO PhD graduate students to faculty and research topics, discuss and demonstrate basic graduate student resources, and acclimatize students to graduate school.

This course studies the theoretical foundations of linear and integer programming with focus on algorithmic results. Topics covered will include algorithms for linear programming, Farkas lemma, duality, simplex method, polarity, lattices, basis reduction, algorithms for integer linear programming, total unimodularity, theory of cutting-planes.

Overview of basic tools used in statistical analysis and modeling. Credit not allowed to students seeking a degree in ISYE.

An introduction to basic stochastic processes such as Poisson and Markov processes and their applications in areas such as inventory, reliability, and queueing.

Special Topics

This course focuses on essential tasks to prepare students for ISYE 4106 and their Senior Design project. Students will form teams, find clients, complete necessary paperwork, and develop a pre-proposal. In addition, this course will focus more on improving the technical writing and presentations skills needed in Senior Design: ISYE 4106. This is a 1-credit hour pass/fail course that meets twice a week and counts as a free elective. It should be taken alongside ISyE 4800.

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