Sample space, events, combinatorial probability, conditional probability, independent events, Bayes Theorem, random variables, discrete random variables, expected values, moment generating function, inequalities, continuous distributions, multivariate distributions, independence. Corequisite: One of MATH 209, 214 or 217. Note: Credit can be obtained in at most two of MATH 181, MATH 281, or STAT 265.
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE A1
(30105) |
140 |
2024-05-06 - 2024-06-12 (MTWRF)
11:30 - 12:40
CCIS L1-140
|
Primary Instructor: Michael Kowalski
|
| Section | Capacity | Class times | Instructor(s) |
|---|---|---|---|
|
LECTURE A1
(47539) |
190 |
2024-09-03 - 2024-12-09 (TR)
12:30 - 13:50
ETLC E1-007
|
|