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STAT 3030: Probability and Statistics for Computer Science

Credits: 3. Contact Hours: Lecture 3.

Prereq: MATH 1660
Topics from probability and statistics applicable to computer science: basic probability; random variables and their distributions; stochastic processes including Markov chains; queuing models; basic statistical inference; introduction to regression. (Typically Offered: Fall, Spring, Summer)

Statistics

https://catalog.iastate.edu/collegeofliberalartsandsciences/statistics/
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.