MA 41600, Fall 2017

Course Description

Credit Hours: 3.00. (STAT 416) An introduction to mathematical probability suitable as a preparation for actuarial science, statistical theory, and mathematical modeling. General probability rules, conditional probability and Bayes theorem, discrete and continuous random variables, moments and moment generating functions, joint and conditional distributions, standard discrete and continuous distributions and their properties, law of large numbers and central limit theorem. Typically offered Fall Spring.

Instructor Info.

Section Room Time Instructor Office
MA 41600 001 REC 309 10:30am TR Dasgupta, Anirban No Office
MA 41600 131 UNIV 017 9:30am MWF Ward, Mark Daniel MATH 200
MA 41600 151 UNIV 101 8:30am MWF Indrei, Emanuel MATH 438
MA 41600 152 REC 309 12:00pm TR Pasupathy, Raghu No Office
MA 41600 155 REC 309 7:30am TR Su, Jianxi No Office

Course Materials

Section Type Title Author
001 Textbook Fundamentals of Probability: A First Course (Springer Texts in Statistics) (2010) Anirban DasGupta
151 Textbook A First Course in Probability (9th Edition) - This textbook is recommended (9) Sheldon Ross
131 Textbook Introduction to Probability - This textbook is recommended. (First Edition) Mark Ward
151 Textbook A First Course in Probability (9th Edition) (9) Sheldon Ross
131 Textbook Introduction to Probability (First Edition) Mark Ward
152 Textbook A First Course in Probability (9th Edition) (9) Sheldon Ross
155 Textbook A First Course in Probability (9th Edition) (9) Sheldon Ross
155 Textbook Introduction to Probability (First Edition) Mark Ward

Important Notes

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