Models, Data and Inference for Socio-Technical Systems
ESD.86 · Engineering Systems Division · Graduate · Spring 2007
Prof. Daniel Frey, Richard C. Larson
In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making. Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlatio…
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Prof. Daniel Frey, Richard C. Larson. ESD.86 Models, Data and Inference for Socio-Technical Systems. Spring 2007. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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