Nutritional Epidemiology

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Nutritional Epidemiology

Fundamentals of Geographic Information Systems (GIS)

Many problems in agriculture, food and nutrition are inherently geographic in nature. For example, livestock production is increasingly concentrated in large feeding operations, leading to new spatial patterns of water and air pollution or foodborne illness. Spatial clustering is equally important for food consumption, nutrition and public health, as in hunger hotspots, food deserts and disease corridors.

Community and Public Health Nutrition

This intensive course provides presentations, readings and activities related to the broad range of community-based nutrition research, programs and policies in the U.S. today. Public health efforts in communities are implemented in many different types of settings, including community non-profit agencies, worksites, health centers, clinics, hospitals, schools, churches, supermarkets, recreational and sports centers, councils on aging/senior centers, and emergency feeding sites.

Human Physiology

This course will cover the functions of mammalian organisms as we understand them at various levels of organization - organ system, organ, cellular and subcellular levels. Our goal is to provide a working knowledge of the fundamental properties and regulation of these systems so that the student can understand and relate this material to that learned in other basic science courses with particular emphasis on those related to nutrition.  

Biostatistics I

This course introduces basic principles and applications of statistics to problems in clinical research. Topics covered include descriptive statistics, probability and random variation, sampling, hypothesis testing, proportions, measures of frequency, t-tests, chi-square tests, one-way analysis of variance, correlation, linear regression and nonparametric statistics. This course has a required Laboratory (NUTR 0206.1L) linked to the NUTR 0206.01 course and it is cross-listed with Sackler's CTS 0527.

Principles of Epidemiology

This course covers basic epidemiologic methods and concepts, including study design, calculation and interpretation of measures of disease frequency and measures of effect, sources of inaccuracy in experimental and observational studies, causal inference, and an introduction to the statistical evaluation and interpretation of epidemiological data. Students will discuss historical examples and recent studies in order to apply their understanding of abstract concepts and specific quantitative methods to the interpretation and critique of published work.

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