Courses tagged with "Information Theory" (2513)
This course is an introduction to labor economics with an emphasis on applied microeconomic theory and empirical analysis. We are especially interested in the link between research and public policy. Topics to be covered include: labor supply and demand, taxes and transfers, minimum wages, immigration, human capital, education production, inequality, discrimination, unions and strikes, and unemployment.
The aim of this course is to acquaint students with traditional topics in labor economics and to encourage the development of independent research interests. We will cover a systematic development of the theory of labor supply, labor demand, and human capital. Topics include wage and employment determination, turnover, search, immigration, unemployment, equalizing differences, and institutions in the labor market. There will be particular emphasis on the interaction between theoretical and empirical modeling.
This is a graduate course in labor economics. The course will focus on covering theory and evidence on inequality, wage structure, skill demands, employment, job loss, and early-life determinants of long-run outcomes. Particular areas of focus are: (1) wage determination, including the Roy model, equalizing wage differentials, and models of discrimination; (2) the roles played by supply, demand, institutions, technology and trade in the evolving distribution of income.
Laboratory Chemistry (5.310) introduces experimental chemistry for students requiring a chemistry laboratory who are not majoring in chemistry. Students must have completed general chemistry (5.111) and have completed or be concurrently enrolled in the first semester of organic chemistry (5.12). The course covers principles and applications of chemical laboratory techniques, including preparation and analysis of chemical materials, measurement of pH, gas and liquid chromatography, visible-ultraviolet spectrophotometry, infrared spectroscopy, kinetics, data analysis, and elementary synthesis.
NOTE: The Staff for this course would like to acknowledge that the experiments include contributions from past instructors, course textbooks, and others affiliated with course #5.310. Since the following works have evolved over a period of many years, no single source can be attributed.
WARNING NOTICE
The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementation of any of the material presented.
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