Systems & Information Engineering

Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.

This course is designed to develop cross-competency in the technical, analytical, and professional capabilities necessary for the emerging field of Cyber-Physical Systems (CPS). It provides convergence learning activities based around the applications, technologies, and system designs of CPS as well as exploring the ethical, social, and policy dimensions of CPS work. The course also emphasizes the importance of communication as a necessary skill.

Detailed study of graduate course material on an independent basis under the guidance of a faculty member.

Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary.

Bayesian theory of forecasting and decision making; judgmental procedures and statistical models for probabilistic forecasting, post-processors of deterministic forecasts; sufficient comparisons of forecasters, verification of forecasts, combining forecasts; optimal decision models using probabilistic forecasts including static decision models, sequential decision models, stopping-control models; economic value of forecasts. Prerequisite: SYS 6005 or STAT 6190.

Weekly meeting of graduate students and faculty for presentation and discussion of contemporary systems engineering problems and research. This seminar is offered every spring and fall semesters.

Formal record of student commitment to project research for Master of Engineering degree under the guidance of a faculty advisor. Registration may be repeated as necessary.

Formal record of student commitment to master's research under the guidance of a faculty advisor. Registration may be repeated as necessary.

For doctoral students.

For doctoral students.