Uncertainty in Engineering OpenCourseWare: MIT's Free Bachelor Level Statistics Class for Engineers
The Massachusetts Institute of Technology (MIT) offers this OpenCourseWare, titled 'Uncertainty in Engineering' to the general public; the contents of this free OpenCourseWare come from the actual MIT course of the same name. The course is designed for Civil and Environmental engineering students and introduces them to statistics and probability as it relates to engineering.
Uncertainty in Engineering: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | Yes |
Uncertainty in Engineering: Course Description
This course teaches students to use the mathematical fields of statistics and probability to make risk assessments of current or future engineering projects. In addition to theory, the course relates the material to the real-world through case studies. Specific topics include linear regression, Bayesian analysis, random vectors, Bayes' theorem, total probability theorem, derived distributions and a variety of real-world case studies. The course is designed for civil and environmental engineering students, but students of other engineering disciplines may benefit. The actual undergraduate MIT course is taught by Professor Daniele Veneziano in a lecture-style format.
This OpenCourseWare includes assignments, quizzes, the final exam, lecture notes and lecture note case study examples. If you're interested in taking this free course, visit the engineering uncertainties course page.
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