MA 41600, Spring 2022
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 165 | UNIV 303 | 10:30am | MWF | Wang, Jing | MATH 420 |
| MA 41600 166 | UNIV 303 | 11:30am | MWF | Wang, Jing | MATH 420 |
| MA 41600 167 | REC 114 | 3:30pm | MWF | Liu, Haibo | No Office |
| MA 41600 168 | REC 114 | 4:30pm | MWF | Liu, Haibo | No Office |
| MA 41600 170 | REC 307 | 1:30pm | MWF | Owada, Takashi | No Office |
| MA 41600 171 | UNIV 217 | 12:30pm | MWF | Dasgupta, Anirban | No Office |
| MA 41600 172 | REC 121 | 2:30pm | MWF | Owada, Takashi | No Office |
| MA 41600 173 | REC 114 | 2:30pm | MWF | Dasgupta, Anirban | No Office |
Course Materials
Important Notes
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