Summer Programs In The University Of Chicago

Summer Programs In The University Of Chicago

The University of Chicago is known for its rigorous academics and small class sizes. It’s also known for offering summer programs that give students the opportunity to study abroad while learning more about their chosen field. Here are some courses that you can take this summer at the University of Chicago:

Social Inequality and Public Policy

Social Inequality and Public Policy:

This course will provide insight into the processes by which social inequality is produced and reproduced in modern societies, how those processes are shaped by public policy, and how policies and programs can be designed to reduce inequality. We will examine various forms of social stratification as well as political processes that determine who gets what. We will also analyze policies related to gender, race/ethnicity, sexuality, class (including labor markets), disability status (including aging populations), religion/nonreligion/secularity; immigration status; nationality; tribe membership; language use/proficiency level etc. You are expected to have an interest in at least one type of inequality—whether it be based on gender or ethnicity or some other category—and an interest in learning more about the above topics by reading articles from academic journals on these topics.

This course will provide insight into the processes by which social inequality is produced and reproduced in modern societies, how those processes are shaped by public policy, and how policies and programs can be designed to reduce inequality.

Social inequality is a complex phenomenon. It is shaped by public policy, and can be reduced by public policy. This course will provide insight into how social inequality is produced and reproduced in modern societies, how those processes are shaped by public policy, and how policies and programs can be designed to reduce inequality.

Analytic Sociology: Theory and Methods

Analytic sociology is a branch of social science that focuses on the development and application of methods for analyzing data. The field studies how different methods can be used to generate new insights, and it encourages academics to experiment with novel applications.

Analytic sociology was founded by Harold Garfinkel in the 1960s when he developed several theoretical approaches that would come to characterize much of his work. He argued that sociology should focus on developing theoretical models rather than simply observing or reporting on aspects of society. He also emphasized the importance of social context in understanding human behavior, which made him one of the most significant proponents of symbolic interactionism at a time when many sociologists were moving toward structural functionalism or other schools within Marxism .

Garfinkel believed that researchers should use whatever tools were available to them in order achieve their goals; this meant using both qualitative and quantitative methods depending on what questions they wanted answered about society (or other topics). As such, analytic sociology has grown into a broad field encompassing multiple sub-disciplines:

This course combines theoretical lectures on rational choice models in sociology with practical workshops on Applied Bayesian Modeling using Markov Chain Monte Carlo (MCMC) methods.

This course combines theoretical lectures on rational choice models in sociology with practical workshops on Applied Bayesian Modeling using Markov Chain Monte Carlo (MCMC) methods.

The course covers both classical and modern applications of rational choice models, as well as the new developments associated with modeling economic games, social networks, and other interactions that are best described by “hidden action” or “incomplete information.” In addition to examining how these models have been used to study such topics as voting behavior, marriage and divorce, employment markets, racial segregation, crime rates and more recent phenomena such as online dating sites or social media platforms like Facebook and Twitter.

Students will learn how to use R (or Python) for conducting simulation experiments that model real world settings through computer simulation experiments based on data drawn from statistical sources such as census records (e.g., UISR), surveys conducted by government agencies (e.g., CPS), etc..

Law, Economics and Organized Crime

Throughout the course, students will be introduced to microeconomic analysis of the mafia as an organized crime group (OCG). The class will focus on identifying determinants of OCG size, their structure and impact on economic development.

The first part of the seminar will look at theoretical models on how criminal organizations operate in market settings, how they arise and persist, how they grow or shrink over time, what determines their revenue sources (e.g., protection rackets), their organizational structures (e.g., hierarchical vs flat), and so forth. In addition to covering economic theories related to these topics we will also cover empirical evidence from various case studies of organized crime groups around the world that provides support for some of these theoretical predictions.

The course will cover microeconomic analysis of the mafia as an organized crime group (OCG), determinants of the OCG size, their structure and impact on economic development.

The course will cover microeconomic analysis of the mafia as an organized crime group (OCG), determinants of the OCG size, their structure and impact on economic development. Students will learn about different types of mafias: Italian-American, Russian-Mafia, Chinese Triads and many others; how they form; why people join them; what is their common strategy for committing crimes and avoiding prosecution.

In addition to lectures students will be given assignments related to analyzing data sets from law enforcement agencies or news sources from around the world available online such as Reuters or The Guardian newspaper articles about arrested mafia members in Russia who were sentenced to prison terms ranging from 10 years up until life imprisonment for murder charges.”

Comparative Social Policy in South Asia & East Africa

In this course, we will cover microeconomic analysis of the mafia as an organized crime group (OCG), determinants of the OCG size, their structure and impact on economic development. The course will also look at public policy issues related to how these groups operate, interact with each other, influence public policy in democratic countries and affect social norms in general.

This summer study abroad program introduces students to major issues in comparative social policy in South Asia & East Africa such as health inequalities, aging, poverty, and urbanization.

The course will cover social policy in South Asia and East Africa. The course will be taught in both South Asia and East Africa. The course will be taught in English.

Math Methods for the Social Sciences II

Math Methods for the Social Sciences II

Second course of a three-course sequence that introduces mathematical tools used in social science research. It focuses on multivariable calculus, constrained optimization, and some elements of statistical inference.

Second course of a three-course sequence that introduces mathematical tools used in social science research. It focuses on multivariable calculus, constrained optimization, and some elements of statistical inference.

Second course of a three-course sequence that introduces mathematical tools used in social science research. It focuses on multivariable calculus, constrained optimization, and some elements of statistical inference.

Prerequisites: Mathematics 15A or 17A; Calculus 10, 11 or AP Calculus AB exam with score of 4 or 5; and Linear Algebra 19.

The University of Chicago has a rich history in the social sciences, and its faculty and students continue to make groundbreaking contributions.

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