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Lower-Division Courses

• 260l - Introductory Statistics
  Designed for students from different disciplines who desire an introduction to statistical reasoning. Topics include collecting and summarizing data, concepts of randomness and sampling, statistical inference and reasoning, correlation and regression. Prereq.: Math 1507 or Level 40 on the Math Placement Test. 3.s.h. (syllabus - summer full term)

• 2625 - Statistical Literacy and Critical Reasoning
  Statistical Literacy and Critical Reasoning. An introduction to statistics and its applications. Topics include descriptive statistics, experimental design, probability sampling distribution, statistical inference, correlation and regression. Emphasis on applications, critical reasoning, and data analysis using statistical software. Prereq.: Math 1501 or at least Level 20 on the Mathematics Placement Test. Credit will not be given for both MATH 2623 and 2625. 4 s.h. (syllabus - summer full term)

Upper-Division Courses

• 3717 - Statistical Methods

Probability and statistics designed for students majoring in the natural sciences. Topics include descriptive statistics, probability, estimation, testing hypotheses, analysis of variance, regression and nonparametric statistics. Use of personal computers with computer software will be required. Credit will not be given for both STAT 3717 and 3743. Prereq.: Math 1549 or 1570 or 1571 or 1585H or equivalent. 4 s.h. (syllabus)

• 3743 - Probability and Statistics
  A calculus-based probability and statistics course. Topics include descriptive statistics, probability models and related concepts and applications, statistical estimation, and hypothesis testing. Prereq.: MATH 1572 or 1585H. Credit will not be given for both STAT 3717 and 3743. 4 s.h. (syllabus)

• 3781H - Biostatistics
  A course in statistics with applications relating to biological sciences. Specific topics include descriptive statistics, testing hypotheses, analysis of count data, correlation, regression, nonparametric statistics, and analysis of variance. Prereq.: MATH 1581H or equivalent. 3 s.h. (syllabus)

• 4804 - Actuarial Models I
  The statistical foundation of actuarial contingency models including the study of survival and severity distributions. Other topics selected from life insurance and annuities, benefit premiums, reserves, and applications. Prereq.: STAT 3743 or consent of department chairperson. (syllabus)

• 4805 - Actuarial Models II

The statistical foundation of actuarial contingency models including the analysis of benefit reserves. Other topics selected from multiple life functions and decrement models, insurance models, and applications. Prereq.: STAT 3743 or consent of department chairperson. (syllabus)

• 4806- Seminar in Actuarial Science

Approaches to and practice with problem solving in actuarial science. Topics may include financial mathematics, financial economics, or actuarial modeling. May be repeated once. Not applicable to the mathematics major. Prereq.: STAT 4843 or consent of the instructor. 2-3 s.h.  (syllabus)

• 4817 - Applied Statistics

Application of regression, survey sampling, analysis of variance, design and analysis of experiments, and related topics. Prereq.: STAT 3717 or 3743 or equivalent. 3 s.h. (syllabus)

• 4820 - Modern Decision Making
  Introduction to the mathematics and statistics of decision making with application to contemporary problems. Topics include: decision trees, influence diagrams, the analytic hierarchy process, risk analysis, and applications. Prereq.: STAT 3717 or 3743 or equivalent. 3 s.h. (syllabus)

• 4843 - Theory of Probability
  The mathematical foundation of probability theory including the study of discrete and continuous distributions. Other topics selected from limit theorems, generating functions, stochastic processes, and applications. Listed also as MATH 5843. Credit for STAT 5843 will not be given to students with MATH 5843. Prereq.: STAT 3743 and MATH 2673 or consent of department chairperson. 3 s.h. (syllabus)

• 4844 - Theory of Statistics 
  The mathematical theory of statistical inferences including likelihood principle, sufficient statistics, theory of statistical estimation, hypothesis testing and related topics. Credit will not be given for MATH 5844 and STAT 4844. Prereq.: STAT 4843. 3 s.h. (syllabus)

• 4845 - Stochastic Process Models
  Introduction to the mathematical foundations of the theory and application of stochastic processes. Topics include Markov processes, Poisson processes, queueing theory, and simulation. Other topics selected from limit theorems, Brownian Motion, and stationary processes. Prereq.: STAT 4843. 3 s.h. (syllabus)

• 4848 - Applied Regression and Time Series Analysis
  Statistical methods for studying time series data with uses in forecasting seasonal and non-seasonal trends. Topics include: applied linear regression analysis with model fitting and diagnostics, time series regression and decomposition methods, exponential smoothing, and the Box-Jenkins methodology. Prereq.: STAT 3717 or STAT 3743. 3 s.h. (syllabus)

• 4849 - Design of Experiments The objective of this course is to learn how to plan, design and conduct experiments efficiently, and apply statistical techniques on resulting data to obtain conclusions. Topics include introduction of experiments, complete randomized designs, blocking designs, factorial designs, nested designs, and random effects models. Prereq.: STAT 4817 or STAT 6940 or equivalent. 3 s.h.  (syllabus)

• 4888 - Actuarial Models in Financial Economics
  This course provides an introduction to actuarial models in financial economics. Topics include the Black-Scholes framework for pricing derivatives, the binomial pricing model, and interest rate models. Prereq.: STAT 4843. 3 s.h. (syllabus)

• 4893 - Statistical Internship
  A program of work and study in the public or private sector centered upon the development of a significant statistics project, under the direction of University faculty member(s) and designated member(s) of the participating agency. May be repeated twice. Prereq.: STAT 5817. 2 s.h. (syllabus)

• 4896 - Statistical Project
  Individualized study of a topic in statistics culminating in a written report and an oral presentation. May be repeated once. Prereq.: STAT 5817 and permission of chairperson. 2 s.h. (syllabus)

• 5800 - Mathematical Foundations of Actuarial Science
  A survey of probability theory and an introduction to risk management. Emphasis of the course will be on problem solving with applications in actuarial science. Prereq.: STAT 4843 or consent of instructor. 3 s.h. (syllabus)

• 5802 - Theory of Interest
  Mathematical theory and techniques in analysis of interest. Topics include measurement of interest, force of interest, annuities, amortization, pricing of investment products, and applications to actuarial sciences. Prereq.: MATH 1572 and any 3700 level MATH, STAT, ECON, or FIN course. 3 s.h. (syllabus)

• 5806 - Seminar in Actuarial Science
  The seminar offers approaches to and practice with problem solving in actuarial science. Topics vary by term and may include financial mathematics, financial economics, or actuarial modeling. Note that this course is not applicable to the mathematics major. Prereq.: STAT 4843. 2-3 s.h. (syllabus)

• 5812 - Statistical Analysis System Data and Analytics

Statistical Analysis System Data and Analytics. An introduction to SAS programming for data and analytics. Topics include using SAS for data processing, manipulation, visualization, reporting, and statistical analysis. The objective is for students to develop statistical computing skills for problem solving and decision making. Prereq.: STAT 3717 or STAT 3743 or equivalent. 3 s.h. (syllabus)

• 5814 - Statistical Data Mining

A systematic introduction to data mining with emphasis on various data mining problems and their solutions. Topics include data mining processes and issues, exploratory data analysis, supervised and unsupervised learning, classification, and prediction methods. Prereq.: STAT 3717 or 3743, or consent of department chairperson. 3 s.h. (syllabus)

• 5819 - Bayesian Statistics

An introduction to the Bayesian approach to statistical inference for data analysis in a variety of applications. Data analysis using statistical software will be emphasized. Topics include: comparison of Bayesian and frequentist methods, Bayesian model specification, prior specification, basics of decision theory, Markov chain Monte Carlo, Bayes factor, empirical Bayes, Bayesian linear regression and generalized linear models, hierarchical models. Prereq.:STAT 3717 or STAT 3743 or STAT 5817 or STAT 6940 or equivalent 3 s.h. (syllabus)

• 5840 - Statistical Computing

Computational methods used in statistics. Topics include generation and testing of random numbers, computer intensive methods, and simulation studies. Prereq.: STAT 3717 or 3743. 3 s.h. (syllabus)

• 5846 - Categorical Data Analysis
  Discrete distributions, contingency table analysis, odds ratios, relative risk, logistic regression, hierarchical models. Prereq.: STAT 4817 or 4844, or MATH 5844. 3 s.h. (syllabus)

• 5847 - Nonparametric Statistics
  Nonparametric statistical inference including tests of hypotheses for one sample, two or more related independent samples, dependence, goodness-of-fit, trend, and
  related topics. Prereq.: STAT 3717 or 3743 or equivalent. 3 s.h. (syllabus)

• 5857 - Statistical Consulting

The objective of this course is to develop the skills for providing statistical consulting.  Topics include problem solving, study design, data management, application of statistical methods, and communication skills. Prereq.: STAT 5817 or equivalent. 3 s.h. (syllabus)

• 5895 - Special Topics in Statistics
  The study of a standard statistical topic in depth or the development of a special area of statistics. May be repeated twice. Prereq.: STAT 3717 or 3743. 2-3 s.h. (syllabus) (STAT 5895B Syllabus) (STAT 5895C Syllabus)