# Course List

List of courses in probability and statistics offered in the Math/Stat Department

STAT 1100 (Previously MATH 110) - Introduction to Statistics - Basic descriptive and inferential statistics. Emphasis on becoming a smart consumer of statistics . Will include the study of examples of statistics in the medical news. Prerequisite: Two years of High School math or grade of C- or better in MATH 0260 Intermediate Algebra.

MATH/STAT 1300 (Previously MATH/STAT 130) - Elementary Statistics with Computers - Data production and analysis; probability basics, distributions; sampling, estimation with confidence intervals, hypothesis testing, t-test; correlation and regression; crosstabulations and chi-square. Students learn to use a statistical package such as SPSS. Prerequisite: MATH-1200 or equivalent.

MATH 3800 (previously MATH 401) - Elementary Theory of Probability - Counting theory; axiomatic probability, random variables, expectation, limit theorems. Applications of the theory of probability to a variety of practical problems. Credit not given for any two of MATH 3800, MATH/STAT 4800 and MATH 4810. Offered every other Fall.  Prerequisite: MATH 2530 (Calculus III).  3 Credit Hours.

MATH 3810 (previously MATH 403) - Probability and Statistics for Engineers - Analyzing and producing data; probability; random variables; probability distributions; expectation; sampling distributions; confidence intervals; hypothesis testing; experimental design; regression and correlation analysis. Credit not given for both MATH 3810 and either MATH 4810 or MATH 4820. No longer offered. Students should take 3850. Prerequisite: MATH 2530 (Calculus III).  3 Credit Hours.

MATH/STAT 3850  - Foundations of Statistical Analysis - Descriptive statistics, probability distributions, random variables, expectation, independence, hypothesis testing, confidence intervals, regression and ANOVA. Applications and theory. Taught using statistical software. Credit not given for both MATH/STAT 3810 and MATH/STAT 3850.   Fall and Spring semesters.  Prerequisite: MATH 1520 (Calculus II).  3 Credit Hours.

MATH 4800  - Probability Theory - Axioms of probability, conditional probability. Discrete and continuous random variables, expectation, jointly defined random variables. Transformations of random variables and limit theorems. Theory and applications, taught using statistical software. Credit not given for any two of MATH 3800, MATH 4800 and MATH 4810.  Fall Semester. Prerequisites: MATH/STAT 3850, MATH 2530 and MATH 1660 or MATH 2660.  3 Credit Hours.

MATH/STAT 4840  - Time Series - Applied time series. Topics include exploratory data analysis, regression, ARIMA. Spectral analysis, state- space models. Theory and applications, taught using statistical software. Fall semester. Prerequisite: MATH/STAT 3850.  3 Credit Hours.

MATH/STAT 4850  - Mathematical Statistics - Theory of estimators, sampling distributions, hypothesis testing, confidence intervals, regression, bootstrapping, and resampling. Theory and applications, taught using statistical software. Spring Semester. Prerequisite: MATH 4800.  3 Credit Hours.

MATH 4860  - Statistical Models - Poisson processes, Markov chains, hidden Markov models, continuous time Markov chains, queuing theory. Theory and applications, taught with statistical software. Offered occasionally. Prerequisite: MATH 4800 .  3 Credit Hours.

MATH/STAT 4870  - Applied Regression - Linear regression, model selection, nonparametric regression, classification and graphical models. Theory and applications using statistical software. Spring Semester. Prerequisites: MATH/STAT 3850 and (MATH 3110 or MATH 3120) or consent of instructor.  3 Credit Hours.

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Upcoming Events
Colloquium
Fri, Mar 23, 2018
Introduction to Cluster Algebras Kyungyong Lee, University of Nebraska, Lincoln
Colloquium
Wed, Apr 18, 2018
Quantitative Topology? by Shmuel Weinberger, U Chicago
Annual Awards Ceremony
Fri, Apr 27, 2018
The 2018 Math & Statistics Department Award Ceremony Featuring Sarah Greenwald, Appalachian State University
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