### Current MSCS Graduate Courses ( Spring 2020, Fall 2020, Spring 2021 )

### Spring 2020

#### STAT 502

Probability Theory II (Cheng Ouyang)- PREREQUISITES:
- STAT 501.
- DESCRIPTION:
- Radon-Nikodym theorem, conditional expectations, martingales, stationary processes, ergodic theorem, stationary Gaussian processes, Markov chains, introduction to stochastic processes, Brownian motions.

#### STAT 511

Advanced Statistical Theory I (Yichao Wu)- PREREQUISITES:
- STAT 411.
- DESCRIPTION:
- Statistical models, criteria of optimum estimation, large sample theory, optimum tests and confidence intervals, best unbiased tests in exponential families, invariance principle, likelihood ratio tests.

#### STAT 535

Optimal Design Theory I (Min Yang)- PREREQUISITES:
- Stat 521.
- DESCRIPTION:
- Gauss-Markov theorem, optimality criteria, optimal designs for 1-way, 2-way elimination of heterogeneity models, repeated measurements, treatment-control; Equivalence theorem, approximate designs for polynomial-regression.

#### STAT 591

Advanced Topics in Statistics, Probability, and Operations Research (Jing Wang)- PREREQUISITES:
- Statistics 521
- DESCRIPTION:
- Topics to include: Generalized Linear Models, Logistic Regression, Poisson Regression, Deviance, Generalized Estimation Equation, Quasi-likelihood Estimation, Kernel and Spline Smoothing, Generalized Additive Models, Effective Degrees of Freedom, Fisher Scoring, and Mixed Effect Models.

### Fall 2020

Courses for this term have not been posted yet.

### Spring 2021

Courses for this term have not been posted yet.