The objective of this course is learning foundations of probability theory and modelling and analysis of random events encountered in (industrial) engineering applications.What you will learn1) Combinatorial Analysis2) Axioms of Probability3) Conditional Probability and Independence, Bayes Theorem4) The Concept of Random Variables (RVs), Expectation, Variance5) Discrete RVs6) Continuous RVs7) Special Discrete RVs8) Special Continuous RVs9) Functions of RVs10) Jointly Distributed RVs11) Sums of RVs12) Limit TheoremsRequirementsThere is no official prerequisites but the students are required to know taking derivative, integral and double integrals of some basic functions like polynomials, trigonometric fn.s, exponential fn. , etc.
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