MA 41600, Spring 2018
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 161 | UNIV 217 | 1:30pm | TR | Dasgupta, Anirban | No Office |
MA 41600 164 | UNIV 117 | 12:30pm | MWF | Sellke, Thomas | No Office |
MA 41600 165 | UNIV 103 | 3:30pm | MWF | McClure, James | MATH 836 |
MA 41600 166 | UNIV 103 | 11:30am | MWF | Peterson, Jonathon | MATH 430 |
MA 41600 167 | UNIV 217 | 10:30am | TR | Walther, Uli | MATH 746 |
Course Materials
Section | Type | Title | Author |
---|---|---|---|
167 | Textbook | A First Course in Probability (9th Edition) (9) | Sheldon Ross |
167 | Textbook | First Course in Probability, A (9) | Sheldon Ross |
164 | Textbook | Probability (Springer Texts in Statistics) | Jim Pitman |
161 | Textbook | An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition (3) | William Feller |
161 | Textbook | Basic Probability Theory (Dover Books on Mathematics) | Robert B. Ash |
165 | Textbook | A First Course in Probability (9th Edition) (9) | Sheldon Ross |
166 | Textbook | Introduction to Probability (Cambridge Mathematical Textbooks) | David F. Anderson |
166 | Textbook | Introduction to Probability (Cambridge Mathematical Textbooks) | David F. Anderson |
Important Notes
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