SIEOW3600 Introduction to Probability and Statistics

Instructor: Karl Sigman

4 pts. Lect: 3. Recit: 1. Calculus, including multiple variable integration. For undergraduates only. This course is required for undergraduate students majoring in IE, OR:EMS, and OR.  This class must be taken during the fourth semester. This course serves as an introduction to both probability theory and statistics as used in engineering and applied science. In probability the course covers random variables, both continuous and discrete, independence, expected values, variance, conditional distributions, conditional expectation and variance, moment generating functions, the strong law of large numbers and the central limit theorem. In statistics it covers the basics of confidence intervals, hypothesis testing and linear regression. SIEO W3600 must be completed by the fourth term. Only students with special academic circumstances may be allowed to take these courses in alternative semesters with the consultation of CSA and Departmental advisors.

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