| Course Description: | Introduction to the fundamental ideas and techniques of probability theory. Topics covered: properties of probability, independence, conditional probability, discrete and continuous random variables, density and distribution functions, expectation, variance, covariance, moments, correlation, joint distribution, marginals, some common distributions such as uniform, Bernoulli, binomial, exponential, Poisson and normal distribution, and the Central Limit Theorem. The course also introduces some basic ideas of statistical analysis e.g. parameter estimation and hypothesis testing. |
| Syllabus: | [PDF file] |
| Schedule: | TuTh 5:30pm - 6:45pm. Classes meet at the same time as a combined section. |
| Office hours: | By appointment, TuTh 3:30pm - 5:20pm. Please follow this link to schedule a 10 or 20 minute appointment, at least 3 hours in advance. You can stop by my office without a confirmed appointment, but I may be unavailable. |
| Assignments: | Posted on the piazza account created for this class. [A welcome message with instructions has been sent to your UMB email account.] |