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Probability Theory and Statistics
ENGR 3341
Erik Jonsson School of Engineering and Computer Science
Axioms of probability, conditional probability, Bayes theorem, random variables, probability density/mass function (pdf/pmf), cumulative distribution function, expected value, functions of random variables, joint, conditional and marginal pdfs/pmfs for multiple random variables, moments, central limit theorem, elementary statistics, empirical distribution correlation. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341) and ENGR 3341. Recommended Corequisite: MATH 2420. 3 credit hours.
Prerequisite: MATH 2414 or MATH 2419.
Offering Frequency: Each semester
Grades: 4,595
Median GPA: B
Mean GPA: 2.910
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Probability Theory and Statistics
ENGR 3341
Erik Jonsson School of Engineering and Computer Science
Axioms of probability, conditional probability, Bayes theorem, random variables, probability density/mass function (pdf/pmf), cumulative distribution function, expected value, functions of random variables, joint, conditional and marginal pdfs/pmfs for multiple random variables, moments, central limit theorem, elementary statistics, empirical distribution correlation. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341) and ENGR 3341. Recommended Corequisite: MATH 2420. 3 credit hours.
Prerequisite: MATH 2414 or MATH 2419.
Offering Frequency: Each semester
Grades: 4,595
Median GPA: B
Mean GPA: 2.910
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