The advanced theory of statistics, including methods of estimation (unbiasedness, equivariance, maximum likelihood, Bayesian, minimax), optimality properties of estimators, hypothesis testing, uniformly most powerful tests, unbiased tests, invariant tests, relationship between confidence regions and tests, large sample properties of tests and estimators. Prerequisites: Statistc 605 and 608.

This course will introduce students to Bayesian data analysis, including modeling and computation. We will begin with a description of the components of a Bayesian model and analysis (including the likelihood, prior, posterior, conjugacy, non-informativeness, credible intervals, etc.), and illustrate these objects in simple models. We will then develop Bayesian approaches to more complicated models. The course will introduce Markov chain Monte Carlo methods, and students will have the opportunity to learn to use the WinBUGS and R open source statistical packages for computation.

First semester of a two-semester sequence. Emphasis given to probability theory necessary for application to and understanding of statistical inference. Probability models, sample spaces, conditional probability, independence. Random variables, expectation, variance, and various discrete and continuous probability distributions. Sampling distributions, the Central Limit Theorem and normal approximations. Multivariate calculus introduced as needed. Prerequisites: MATH 132, or 136. (Gen.Ed. R2)

How culture and ethnicity affect dietary practices and health in the U.S. Influence of food security, acculturation, and politics on food availability, food practices, and health outcomes. Health and health disparities in different cultural/ethnic groups, including overview of epigenetics. Emphasis on cross-cultural communication to address health and nutrition concerns.

This course will provide a broad introductory overview of the molecular mechanisms of diet-induced changes in gene expression and the modulatory role of genetic polymorphisms, but will primarily be focused on group discussion of illustrative primary genomics research papers relevant to the development of disease or the response to various environmental exposures.

Course description not available at this time.

Not available at this time.

This weekly seminar will be focused on increasing students? knowledge base about current psychological topics related to diversity in research and applied settings and fostering students? professional development (e.g., providing education about different career paths and graduate school) to prepare students for future careers in psychology with a strong foundation in diversity-related topics.

Explores the complex interactions between nutrition and fitness in humans.
To this end, we will examine the Dietary Guidelines for Americans, sports nutrition, obesity and weight management, eating disorders, and diets such as vegan and vegetarianism as they relate to fitness and health.

This lab course will cover basic concepts of microbiology with an emphasis on sterile technique, microscopy, isolation and cultivation of microorganism. Identification of pathogenic organisms, antibiotic susceptibility testing, epidemiology and the detection of microbes in food will be covered. This is a 1 credit course for NON-MAJORS. It is geared for students applying to post-graduate health care programs (physician assistant, nurse practitioner, pharmacy, etc.) MICROBIO 310 must be taken previously or concurrently.