Mathematics and Statistics
Faculty of Science
Timetable for Statistics
|
Section | Day | Time | Exam Date | Delivery |
---|
STAT 818 - Time Series Analysis and Forecasting |
A first graduate course in time series models and analysis. Topics include deterministic and stochastic models, stationary and non-stationary time series models, state space models, spectral analysis, and selected additional topics. This course includes a lab component.
*Note: Students may receive credit for one of STAT 818, STAT 418, or ACSC 418.* |
001 |
TR |
1:00pm - 2:15pm |
12-DEC-24 |
|
010 |
M |
10:30am - 11:20am |
|
|
STAT 851 - Probability |
Probability measures; distribution functions; sequences of random variables; characteristic functions; modes of convergence; convergence theorems; weak and strong laws of large numbers; Central Limit Theorem |
001 |
TR |
10:00am - 11:15am |
19-DEC-24 |
|
STAT 859 - Design of Experiments |
Completely randomized designs, randomized block designs, factorial and fractional factorial designs, nested designs, fixed and random effects models. |
001 |
MW |
11:30am - 12:45pm |
16-DEC-24 |
|
STAT 872 - Large Sample Methods |
Asymptotic behavior of estimators and test statistics, asymptotic relative efficiency, large sample theory for regression models. |
001 |
MW |
2:30pm - 3:45pm |
09-DEC-24 |
|
STAT 900 - Seminar |
Preparation and presentation of a one-hour lecture to graduate students and faculty. |
001 |
|
- |
|
|
STAT 901 - Research |
Thesis research |
001 |
|
- |
|
|
002 |
|
- |
|
|
003 |
|
- |
|
|
004 |
|
- |
|
|
STAT 902 - Research Tools in Statistics |
This course teaches students about the computing and library resources available in the Mathematics and Statistics department. This course also includes an introduction to using LaTeX for preparing papers, writing research proposals, and giving academic presentations. |
001 |
F |
2:30pm - 3:20pm |
|
|
STAT 903 - Comprehensive Exam 1 |
Students must complete a comprehensive exam in Probability Theory. The exam will also include one of the following elective topics: Stochastic Processes, Dependence and Extremes, Limit Theorems, or Measure and Integration. It is evaluated on a pass/fail basis. |
001 |
|
- |
|
|
STAT 904 - Comprehensive Exam 2 |
Students must complete a comprehensive exam in Statistical Inference. The exam will also include one of the following elective topics: Generalized Linear models, Survival Analysis, Experimental Design, Time Series Analysis, Linear Models, or Sampling Theory. It is evaluated on a pass/fail basis. |
001 |
|
- |
|
|