Models, Data and Inference for Socio-Technical Systems, Spring 2007
(Complete Item Description)
- Abstract:
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, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.
- Subject:
- Mathematics and Statistics, Science and Technology
- Grade Level:
- Post-secondary
- Collection:
- MIT OpenCourseWare
