Timetable for Statistics

Section	Day	Time	Exam Date
2024 Spring/Summer 2024 Fall
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		-