Engineering is an important and complex study of science that deals with other fields of sciences such as probability and statistics. The contribution of this topic to engineering was to give them the idea of importance of this field of studies.
Learning from this [course_title] will give you a glimpse of the uncertainty that is present in the engineering department. Developing your skills in probability and statistic can give you an edge in this career path.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
|Le-1 Events and their probability||00:05:00|
|Le-2 Random variables discrete distributions||00:10:00|
|Le-3 Random variables continuous distributions||00:10:00|
|Le-4 Random vectors||00:15:00|
|Le-5 Functions of random variables and vectors||00:20:00|
|Le-6 Second-moment characterization of random variables and vectors||00:20:00|
|Le-7 Conditional second-moment analysis||00:05:00|
|Le-8 Selected distribution models||00:15:00|
|Le-9 Point and interval estimation of distribution parameters||00:25:00|
|Submit Your Assignment||00:00:00|
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