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 |
---|---|---|---|
151 | Textbook | A First Course in Probability (9th Edition) - This textbook is recommended (9) | Sheldon Ross |
151 | Textbook | A First Course in Probability (9th Edition) (9) | Sheldon Ross |
001 | Textbook | Fundamentals of Probability: A First Course (Springer Texts in Statistics) (2010) | Anirban DasGupta |
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 |
131 | Textbook | Introduction to Probability - This textbook is recommended. (First Edition) | Mark Ward |
131 | Textbook | Introduction to Probability (First Edition) | Mark Ward |
Important Notes
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