Courses from Previous Programs (No Longer Offered)
Course contents of courses that were offered in previous programs but are no longer part of the current curriculum.
STAT 111 Statistics with Real Life Examples (3-0)3
Readings and projects on the application of statistics to real life in the fields of environmental sciences, industry, actuarial science, business, physics, social sciences, and medicine.
STAT 155 Principles of Statistics (3-2)4
A brief history of statistics. Basic definitions and data types. Visualization of data. Descriptive statistics. Avoiding misleading results. Random variables. Some well-known statistical distributions. Introduction to computational statistics tools.
STAT 156 Statistical Methods (3-2)4
Sampling distributions, estimation, confidence intervals, hypothesis testing, distribution fitting, analysis of variance for one-factor design, linear regression, association between two categorical variables, basic nonparametric procedures.
Prerequisite: STAT 155
STAT 201 Introduction to Probability and Statistics I (3-0)3
Experiments and events. Set theory. Axioms and basic theorems of probability. Finite sample spaces and counting techniques. Independent events. Conditional probability. Random variables and distributions. Expectation, variance, covariance and correlation. Some special distributions.
STAT 202 Introduction to Probability and Statistics II (3-0)3
Random samples. Sample mean and variance. Chebychev's inequality. Law of large numbers. Central limit theorem. Estimation. Maximum likelihood, unbiased, minimum variance unbiased, consistent and efficient estimators. Sufficiency. Confidence intervals. Hypothesis testing. Introduction to nonparametric methods. Regression and analysis of variance.
Prerequisite: STAT 201
STAT 256 Numerical Methods (3-2)4
Accuracy in numerical computations. Numerical solution of linear and nonlinear algebraic equations. Finding eigen-values and eigenvectors. Finite difference calculus. Interpolation and extrapolation. Numerical differentiation and integration. Numerical approximation methods.
Prerequisites: STAT 291 or STAT 292, MATH 260
STAT 292 Statistical Computing II (3-2)4
Introduction to programming and computation. Introduction to computer organization and basic data structures. An advanced programming language with applications to statistical procedures.
Prerequisite: CENG 240