Models, Data and Inference for Socio-Technical Systems, Spring 2007
| Rating: | Not rated yet |
| Rate item | |
| Type: | Course Related Materials |
| Grade Level: | Post-secondary |
Author: Frey, Daniel
Subject: Mathematics and Statistics, Science and Technology
Institution Name:
M.I.T.
Collection Name: MIT OpenCourseWare
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.
Details
Course Type: Full Course
Material Types: Assessments, Homework and Assignments, Lecture Notes, Syllabi
Media Formats: Text/HTML, Downloadable docs
Language: English
Additional Information
Geographic
Regional Relevance: All
