Fundamentals of Nutrition Policy & Programming
Professors: Jennifer Obadia, Shabani Ghosh, and Patrick Webb
This is a required course that allows students to become familiar with the policy making process (domestic and international), typologies of nutrition and agriculture policy initiatives (laws, regulations, program interventions, legal restrictions and systems, institutional mandates), and to be able to critically analyze and discuss how policy and science interact with regard to food and nutrition.
SPRING 2012 and Spring 2013
Economics for Food Policy Analysis
Professor: William Masters
This course equips students with the economic principles used for food policy analysis, applying the methods of economics to the major food and nutrition policy problems of the United States and the world. Students gain familiarity with the data sources and analytical methods needed to explain and predict consumption, production and trade in agriculture and food markets; evaluate the social welfare consequences of market failure and government policies; and analyze changes in poverty and inequality including both fluctuations and trends in incomes, employment and economic development.
Determinants of U.S. Food Policy
Professor: Parke Wilde
This course focuses on government food-related programs from an economic and political perspective. It reviews the evolution of a range of policies and programs, analyzing their effects on the U.S. economy and on household consumption and the farm economy, as well as on food consumption at the national, household, and individual level. Existing policies and programs are related to the political and economic environment and to changing food consumption patterns in American society. Food assistance programs (e.g., Food Stamps), nutrition programs, food supply and agricultural price policies, and consumer protection and information are considered.
FALL 2013 (coming soon!)
Statistical Methods for Nutrition Research (policy track)
Professor: Sean Cash
Part one of a one-year, two-semester course covering descriptive statistics, graphical displays, confidence intervals, hypothesis testing, t-test, chi-square test, nonparametric tests, multiple linear regression, multiple logistic regression, experimental design, multi-factor and multiple comparisons procedures. Students learn how to use Stata statistical analysis software.
For more information about these courses, please visit the Friedman School website.
Agriculture, Food and Environment Program
Friedman School of Nutrition Science & Policy Tufts University
150 Harrison Avenue, Room 108
Boston, MA 02111