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The probability and statistics are considered as two of the most important fundamentals of engineering. These fields should be introduced to engineering students to ensure that they will succeed as future engineers.

The main objective of this Probability And Statistics In Engineering Course is to teach you how quantitative analyses can affect your engineering profession. You are provided in this course with lessons on the fundamentals of probability, random processes, and other types of analysis.

Assessment

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.

Certification

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Course Credit: MIT

Course Curriculum

Module 01
L 1 Events and their Probability, Elementary Operations with Events, part 1 00:05:00
L 1 Events and their Probability, Elementary Operations with Events, part 2 00:40:00
L 1 Events and their Probability, Elementary Operations with Events, part 3 00:20:00
L 1 Events and their Probability, Elementary Operations with Events, part 4 00:15:00
L 1 Events and their Probability, Elementary Operations with Events, part 5 00:20:00
L 2 Random Variables and Vectors, Discrete and Continuous Probability Distributions part 1 00:10:00
L 2 Random Variables and Vectors, Discrete and Continuous Probability Distributions part 2 00:06:00
L 2 Random Variables and Vectors, Discrete and Continuous Probability Distributions part 3 00:20:00
L 2 Random Variables and Vectors, Discrete and Continuous Probability Distributions part 4 00:30:00
L 2 Random Variables and Vectors, Discrete and Continuous Probability Distributions part 5 00:30:00
L 2 Random Variables and Vectors, Discrete and Continuous Probability Distributions part 6 00:15:00
L 2 Random Variables and Vectors, Discrete and Continuous Probability Distributions part 7 00:15:00
Module 02
L 3 Functions of Random Variables and Derived Distributions part 1 00:15:00
L 3 Functions of Random Variables and Derived Distributions part 2 00:20:00
L 3 Functions of Random Variables and Derived Distributions part 3 00:20:00
L 3 Functions of Random Variables and Derived Distributions part 4 00:35:00
L 4 Expectation of Random Variables and Functions of Random Variables part 1 00:20:00
L 4 Expectation of Random Variables and Functions of Random Variables part 2 00:15:00
L 4 Expectation of Random Variables and Functions of Random Variables part 3 00:20:00
L 4 Expectation of Random Variables and Functions of Random Variables part 4 00:15:00
L 5 Conditional Second Moment Analysis part 1 00:05:00
L 5 Conditional Second Moment Analysis part 2 00:25:00
L 5 Conditional Second Moment Analysis part 3 00:20:00
Module 03
L 6 Selected Distribution Models 00:05:00
L 7 Time-invariant Second-Moment Reliability Analysis and Time-Invariant Full-Distribution Reliability Analysis part 1 00:05:00
L 7 Time-invariant Second-Moment Reliability Analysis and Time-Invariant Full-Distribution Reliability Analysis part 2 00:20:00
L 8 Point Estimation of Distribution Parameters part 1 00:30:00
L 8 Point Estimation of Distribution Parameters part 2 00:20:00
L 9 Simple and Multiple Linear Regression part 1 00:15:00
L 9 Simple and Multiple Linear Regression part 2 00:15:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

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