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Course Criteria
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3.00 Credits
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.
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3.00 Credits
4848. Applied Regression and Time Series. Statistical methods for regression and time series analysis. Topics include applied linear regression with model fitting and diagnostics, data analysis, and forecasting with time series models. Prereq.: STAT 3717 or STAT 3743. 3 s.h.
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3.00 Credits
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.
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3.00 Credits
4888. Actuarial Models in Financial Economics. 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.
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2.00 Credits
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 4817 and permission of chairperson. 2 s.h.
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3.00 Credits
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.
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3.00 Credits
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.
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2.00 - 3.00 Credits
5806. 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.
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3.00 Credits
5811. SAS Programming for Data Analytics. An introduction to SAS programming for data 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. Also listed as ECON 5861. Prereq.: STAT 3717 or STAT 3743 or STAT 2601 or ECON 3790 or equivalent. 3 s.h.
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3.00 Credits
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 STAT 3743, or consent of department chairperson. 3 s.h.
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