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Course Criteria
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3.00 Credits
Prerequisite: Enrolled in MPH program, completion of MPH year 1 requirements, MPH year 2 fall semester requirements, and concurrent enrollment in MPH practicum. This course is designed to integrate knowledge acquired in coursework and other learning experiences and to apply this knowledge to situations with various aspects of professional public health practice.
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1.00 - 9.00 Credits
Prerequisite: SPHIS student who has completed required coursework in a doctoral degree program and is preparing for comprehensive examinations. The course may be repeated. The course allows doctoral students to prepare for qualifying examinations with faculty guidance on topics and readings.
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3.00 Credits
Prerequisite: Student in SPHIS program or in the Bachelor-MPH program or Graduate Nursing Program. An introduction to descriptive and inferential statistics including descriptive methods and graphing, binomial and Gaussian probability theory, estimation, conference intervals, hypothesis testing, correlation, and regression. Taught at the graduate level.
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1.00 Credits
.5 lecture, .5 independent study. Prerequisite: PHCI or PHDA or PHMPH major or Math major in Graduate School. Students are given an evaluation protocol for each semester and must turn in a written evaluation of the presentation. The protocols will vary according to the presentation topic, but each will focus on a critical component of research design or analysis.
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3.00 Credits
Prerequisite: Introduction to Biostatistics I and II, PHST 600. Students in course must be enrolled at the School of Public Health and Information Sciences or obtain permission from instructor. This course addresses fundamentals of statistical computing with special emphasis on software tools employed most often in biostatistics.
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3.00 Credits
Prerequisite: Introduction to Statistical Computing PHST 620. Students in course must be enrolled at the School of Public Health and Information Sciences or obtain permission from instructor. Topics will include linear and multiple regression, analysis of variance, analysis of covariance, logistic regression, survival analysis using Cox regression and repeated measures.
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3.00 Credits
Prerequisite: Introduction to Statistical Computing PHST 620 and Applied Statistical Models (PHST 630). Students in course must be enrolled at the School of Public Health and Information Sciences or obtain permission from instructor. Statistical methods for clinical research and interpretation for the literature.
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1.00 - 3.00 Credits
Prerequisite: Students in course must be enrolled at the School of Public Health and Information Sciences or obtain permission from the instructor. A treatment of one or more topics in advanced biostatistics not usually covered in a regularly offered course.
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4.00 Credits
Prerequisite: PHCI or PHDA major and Math 190 or equivalent or consent of instructor. This course focuses on the basic techniques of analytic geometry, differential and integral calculus, and matrix algebra; topics include limits, the chain rule, higher-order derivatives, partial derivatives, integration by parts, improper integrals, multiple integrals, sequences and series, vector and matrix arithmetic, and eigenvalues
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3.00 Credits
Prerequisite: PHCI or PHDA major, or Math major in Graduate School; Mathematical Tools (PHDA 660) or equivalent. This course in introductory probability theory; includes probability spaces, random variables, probability distributions, moments, moment generating functions, mathematical expectation, joint distribution, transformations of random variables, sampling distributions.
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