Mathematics and Statistics
Faculty of Science
Timetable for Statistics
|
Section | Day | Time | Exam Date | Delivery |
---|
STAT 819 - Advanced Applications of Fourier Analysis in Life Sciences |
Advanced applications of Fourier Analysis. Topics include confidence intervals, hypothesis testing, modelling linear relationships, time series and Fourier analysis. Advanced applications of Fourier Analysis in life sciences will be reviewed. The list of applications may vary. |
001 |
MTWR |
10:00am - 11:15am |
25-JUN-24 |
RMTE |
STAT 856 - Stochastic Processes |
A first graduate course in stochastic processes. Topics include Markov chains, Poisson process, renewal theory, Brownian motions and selected additional topics. This class is cross-listed with STAT 456 and ACSC 456. |
001 |
|
- |
|
|
STAT 890AR - Stochastic Differential Equations for Finance |
Modelling of mathematical finances in continuous time, stochastic integrals Itô's formula |
001 |
TR |
10:00am - 11:15am |
27-AUG-24 |
RMTE |
STAT 890AX - Computational Statistics |
A general introduction to computational methods in statistics including optimization, statistical estimation algorithms, bootstrapping/jackknife procedures, Monte Carlo sampling, generating random deviates, computation in the R programming language. |
070 |
|
- |
|
|
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 |
|
- |
|
|
005 |
|
- |
|
|
006 |
|
- |
|
|
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 |
|
- |
|
|