# Courses

#### Courses currently being offered:

Check the course schedules/descriptions available via the Registrar's Office for the official schedules for the widest range of terms for which such information is available.

### Course Catalog

Below you will find a list of all courses that have been offered.**NOTE: Not all of these courses are offered in any given year.**

- STT 201 INTRODUCTION TO PROBABILITY
Probability spaces, combinatorial problems, random variables and expectations, discrete and continuous distributions, generating functions, independence and dependence, binomial, normal, and Poisson laws, laws of large numbers. MTH 162 (or equivalent) is a strict prerequisite and must be completed before taking 201. MTH 162 and 201 cannot be taken concurrently. Same as MTH 201. This course uses the Tuesday/Thursday 08:00-09:30am Common Exam time.

*Prerequisites: MTH 162 or equivalent, MTH 164 recommended. Same as STT 201.**Last Offered: Spring 2018* - STT 202 INTRODUCTION TO STOCHASTIC PROCESSES
Theory and applications of random processes, including Markov chains, Poisson processes, birth-and-death processes, random walks. Prerequisite: STT 201. Same as MTH 202.

- STT 203 INTRODUCTION TO MATHEMATICAL STATISTICS
Discrete and continuous probability distributions and their properties. Principle of statistical estimation and inference. Point and interval estimation. Maximum likelihood method for estimation and inference. Tests of hypotheses and confidence intervals, contingency tables, and related topics.

*Prerequisites: STT 201 or familiarity with the elementary principles of probability, expected value, variance and covariance.**Last Offered: Spring 2018* - STT 211 APPLIED STATISTICS FOR SOCIAL SCIENCES I
This course is a non-calculus based introduction to the major concepts and tools for collecting, analyzing and drawing conclusions from data. Students are exposed to four broad conceptual themes: 1.Understanding data and turning data into information through graphs and numerical methods 2. Collecting data through experiments and observational studies. 3. Exploring random phenomena using probability as the basis for statistical inference 4. Statistical Inference: Estimating population parameters and testing hypotheses Topics include regression, ANOVA, and contingency tables Examples and applications are taken from the social sciences. Use of TI83/TI84 or common statistical computing packages. Please note that, because of the significant overlap between them, students may earn degree credit for only one of these courses: STT 211 and STT 212.

*Last Offered: Spring 2018* - STT 212 APPLIED STATISTICS FOR THE BIOLOGICAL AND PHYSICAL SCIENCES I
This course is a non-calculus based introduction to the major concepts and tools for collecting, analyzing and drawing conclusions from data. Students are exposed to four broad conceptual themes: 1. Understanding data and turning data into information through graphs and numerical methods 2. Collecting data through experiments and observational studies. 3. Exploring random phenomena using probability as the basis for statistical inference 4. Statistical Inference: Estimating population parameters and testing hypotheses Topics include regression, ANOVA, and contingency tables Examples and applications are taken from the natural sciences. Use of TI83/TI84 or common statistical computing packages. Please note that, because of the significant overlap between them, students may earn credit for only one of these courses: STT 211 and STT 212.

*Last Offered: Spring 2018* - STT 213 ELEMENTS OF PROBABILITY & MATHEMATICAL STATISTICS
This course is an introduction to the probability and statistical theory underlying the estimation of parameters and testing of hypotheses. Linear correlation and simple regression analysis are also introduced. Students will learn how to use the statistical programming language R to analyze data.

*Prerequisites: MTH 141 or equivalent.**Last Offered: Fall 2017* - STT 214 BIOSTATISTICS
*No description**Last Offered: Spring 2018* - STT 214W BIOSTATISTICS WRITING
*No description**Last Offered: Spring 2018* - STT 216 APPLIED STATISTICS II
This course focuses on the practical use of statistical methods beyond what is covered in STT 211, STT 212 and STT 213. The level of sophistication is high when it comes to the models and methods needed to analyze data and interpret results. Topics include randomization tests, bootstrapping, nonparametric tests, ANOVA models (fixed, random and mixed models, crossed and nested), multiple comparisons and linear contrasts, multiple linear regression, binary logistic regression and related topics. The course uses examples and case studies from both the natural and social sciences. The use of computer programs is emphasized for calculations and there is a strong emphasis on assumptions, models and interpretation of results.

*Prerequisites: STT 211, STT 212, or STT 213**Last Offered: Spring 2018* - STT 221W SAMPLING TECHNIQUES
Simple random, stratified, systematic, and cluster sampling; estimation of the means, proportions, variance, and ratios of a finite population. Ratio and regression methods of estimation and the use of auxiliary information. The nonresponse problem. Prerequisite: familiarity with the concepts of expectation, variance, covariance and correlation.

*Prerequisites: STT 211, STT 212 or STT 213, and 203 or equivalent.**Last Offered: Fall 2017* - STT 226W INTRODUCTION TO LINER MODELS
Simple linear, multiple, and polynomial regression methods and applications; ordinary and generalized least squares, estimation, tests of hypotheses, and confidence intervals, and simultaneous inference, and computer packages. Computer programs including JMP and SAS.

*Prerequisites: STT 211, STT 212 or 213, and STT 203 or equivalent..**Last Offered: Spring 2018* - STT 277 COMPUTING, INTRODUCTION TO STATISTICAL SOFTWARE
The first half of this course covers programming in R, SAS, and JMP. The second half explores the use of this software to understand data from observational studies. The student will learn the philosophy, capabilities, and pitfalls of exploratory data analysis. Univariate, bivariate and multivariate methods will be introduced. Graphical methods will be emphasized, but numerically-oriented procedures such as linear models will be included where appropriate. Each student will analyze a real-life data set in some depth and write a report. Registration priority will be given to Statistics majors who will be taking the course in their senior year. Basic skills with the Windows operating system, a text editor (such as Notepad), and Microsoft Excel is assumed.

*Prerequisites: STT 211, STT 212 or STT 213 and STT 216 or STT 226W. CROSS LISTED with STT 477.**Last Offered: Fall 2017* - STT 278
*No description**Last Offered: Fall 2012* - STT 391 INDEPENDENT STUDY
*No description**Last Offered: Spring 2018* - STT 391W INDEPENDENT STUDY
*No description**Last Offered: Spring 2018* - STT 395 RESEARCH IN STATISTICS
*No description**Last Offered: Fall 2017* - STT 477 INTRO STATISTICAL SOFTWARE I
*No description**Last Offered: Fall 2017* - STT 478 INTRO STATISTICAL SOFTWRE II
*No description**Last Offered: Fall 2012*