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STAT 4780: Introduction to Stochastic Process Models

(Dual-listed with STAT 5780).
Credits: 3. Contact Hours: Lecture 3.

Prereq: STAT 2310 or STAT 3410 or STAT 3470 or STAT 4470 or STAT 5880
Probabilistic models in biological, engineering and the physical sciences. Markov chains; Poisson, birth-and-death, renewal, branching and queuing processes; applications to bioinformatics and other quantitative problems. Graduation Restriction: Credit for only one of STAT 4320, STAT 4780, or STAT 5780 may be applied to graduation. May not be used for graduate credit in the Statistics MS and PhD degree programs. Offered even number years. (Typically Offered: Fall)

The curriculum in liberal arts and sciences with a major in statistics is designed to prepare students for (1) statistics positions in business, industry or commerce, nonprofit institutions, and in state or federal government; and (2) graduate study in statistics. Positions include the following types of work: statistical design, data visualization, analysis and interpretation of experiments and surveys; data processing and analysis using modern computation facilities and statistical computing systems; application of statistical principles and methods in commercial areas such as finance, insurance, industrial research, technology, marketing, manufacturing, sports analytics, quality control, and nonprofit organizations, such as institutions involved in health care or medical research.