Models, Data, and Interference for Socio-Technical Systems OpenCourseWare: A Graduate Level Free Online Course by MIT
Use probability to enhance decision-making and system design in this graduate-level free OpenCourseWare offered by the Massachusetts Institute of Technology (MIT). 'Models, Data and Interference for Socio-Technical Systems' explores the relationship between management, engineering and the social sciences when completing engineering projects. Prerequisites for this course include course number 6.041, a course pertaining to probabilistic systems analysis.
Models, Data and Interference for Socio-Technical Systems: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | Yes |
Models, Data and Interference for Socio-Technical Systems: Course Description
Learn to analyze probability, its role in nature and its reliability. This skill is useful in measuring the robustness, predictability, stability and reliability of structures and systems when creating models. The Massachusetts Institute of Technology (MIT)'s School of Engineering in Cambridge, Massachusetts, offers this course that focuses on the role of selection bias and data when creating engineering systems and the role of probability in decision-making and design. Students learn to create experiments to test their structures and make improvements on models based on statistics and probability. Students will learn how to perform statistical analysis, like Chi and t tests, as well as how to interpret the results of these, and other, statistical metrics. MIT Professors Daniel D. Frey and Richard C. Larson teach this course on the use of statistical data and probability in engineering system models.
Lectures, notes, study materials, tests and quizzes are available for free online. To find out more, visit the models, data and interferences for socio-technical systems course page.
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