Students will be asked to retrospectively analyze their experiences as workers and consumers, evaluating the impact of organizational forms and industry structure. How do cooperative enterprises (including those on campus such as the People's Market, Earthfoods, and Campus Design and Copy) differ from other enterprises? Students will also be asked to explicitly bring material they have learned in other classes to bear on these issues.

Analysis of theories of determination of national income, aggregate employment, and the price level. Monetary and fiscal policy. Inflation, unemployment, and economic growth.

Same as PSY 201. (Formerly MTH/PSY 190). An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description, and statistical inference including an introduction to study design, confidence intervals, testing hypotheses, analysis of variance and regression analysis. Techniques for analyzing both quantitative and categorical data will be discussed. Applications are emphasized, and students use SPSS and other statistical software for data analysis.

Same as PSY 201. (Formerly MTH/PSY 190). An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description, and statistical inference including an introduction to study design, confidence intervals, testing hypotheses, analysis of variance and regression analysis. Techniques for analyzing both quantitative and categorical data will be discussed. Applications are emphasized, and students use SPSS and other statistical software for data analysis.

Same as PSY 201. (Formerly MTH/PSY 190). An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description, and statistical inference including an introduction to study design, confidence intervals, testing hypotheses, analysis of variance and regression analysis. Techniques for analyzing both quantitative and categorical data will be discussed. Applications are emphasized, and students use SPSS and other statistical software for data analysis.

Same as PSY 201. (Formerly MTH/PSY 190). An overview of the statistical methods needed for undergraduate research emphasizing methods for data collection, data description, and statistical inference including an introduction to study design, confidence intervals, testing hypotheses, analysis of variance and regression analysis. Techniques for analyzing both quantitative and categorical data will be discussed. Applications are emphasized, and students use SPSS and other statistical software for data analysis.

Theory and practice of modern chemical analysis methods based upon spectroscopic measurements of atoms and molecules in solid, liquid, gas, and plasma states. Includes x-ray, optical and radio frequency techniques. Prerequisite: CHEM 513.

This course will introduce theory and application of Bayesian methods for analysis of biomedical datasets. A significant part of the course will be hands-on training in Bayesian computation using the R statistical language. Topics to be covered include examples illustrating Bayesian thinking, estimation of single and multi-parameter models and Bayesian computation using Markov Chain Monte Carlo (MCMC) methods.

Modern Tibetan II is the second part of a four-part elementary course sequence in Modern Tibetan. The course is offered through the Five College Supervised Independent Language Program. The independent study format includes small group conversation sessions and an evaluation by an outside evaluator. Students studying Modern Tibetan develop speaking and listening skills needed for study abroad in Tibet or Tibetan-speaking areas and to support course work in Asian Studies or Buddhist Studies.