MA 41600, Spring 2019
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 |
LILY 3418 |
4:30pm |
TR |
Su, Jianxi |
No Office |
|
MA 41600 164 |
UNIV 019 |
3:00pm |
TR |
Sellke, Sarah |
No Office |
|
MA 41600 165 |
UNIV 303 |
1:30pm |
TR |
Wang, Jing |
MATH 420 |
|
MA 41600 166 |
UNIV 303 |
12:00pm |
TR |
Wang, Jing |
MATH 420 |
|
MA 41600 167 |
UNIV 101 |
9:30am |
MWF |
Indrei, Emanuel |
MATH 438 |
|
MA 41600 168 |
UNIV 019 |
1:30pm |
TR |
Sellke, Sarah |
No Office |
Course Materials
Important Notes
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