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  • 4.00 Credits

    A "practicum" is commonly defined as a course that involves the application of theory and academic knowledge to practical problems. The focus of this course is the practical transformation of communities through community-based projects, with a particular focus on issues of place-making and public space. Each semester, the course focuses on a different problem or community project, developed in collaboration with community partners. The course will involve reading and background research relevant to the specific project; a critical introduction to practices of place-making and urban design; and an exploration of techniques and strategies for engaging community stakeholders in collaborative processes. This semester, we will be working with Realize Bradenton as our community partner, focusing on the planned extension of the Bradenton Riverwalk into a diverse neighborhood to the east of downtown. Details of the project to be announced.Enrollment is limited to 15 students. Preference will be given to students who have taken Urban Sociology; Sustainable Cities; Space, Place & Community; Public Space Research Group. Students with other relevant background will be considered.
  • 4.00 Credits

    Through this course we seek to challenge the Eurocentric and USA-centric approach to social theory. We do this exploring the history of internal debates of Latin American social theory. We begin exploring what are epistemologies of the south. Then, we will simultaneously follow a chronological order and a thematic exploration. Chronologically, we will move from Indigenous belief systems, colonial experience and independence movements, through the current era. Thematically we explore race, ethnicity, gender, class, competing visions about the economy and political organization, technology and communications, and current debates surrounding decolonization/ decoloniality, "el buen vivir" (living well), and current challenges to sociological theory. This course is taught at an advanced level. Some Knowledge of Latin America is strongly recommended. It fulfills the Social Organization/Institutions or Change Sociology AOC requirements.
  • 4.00 Credits

    This course is an introduction to the topic of Queer Studies from a sociological perspective. This means that we will apply sociological insight as we attempt to better understand the lives of gay, lesbian, bisexual, and transgender individuals, as well as how the existence of "queer"-ness affects our understanding of all of social life. To this end, we will invoke several theoretical perspectives, and review a wide variety of empirical studies. Weekly reading assignments and discussion meetings will constitute the majority of the course responsibilities. This includes student participation in the form of writing weekly discussion questions, periodic written responses to others' discussion questions, and serving as discussion facilitator. Additionally, each student will supplement the work in the meetings with independent research. These will be ongoing projects resulting in a written document at the end of the term. Before submitting the paper, you will present the project to the group, gaining practice with oral presentation skills and receiving feedback from the group before finalizing the paper.
  • 4.00 Credits

    This course is designed to allow intermediate and advanced students an opportunity to examine current conceptions of gender and study how the idea of gender has been applied in recent scholarship. We will begin the semester with a brief review of contemporary dominant perspectives on gender. We will then study a variety of writings that employ gender as an analytic tool. These will focus on the experiences of differently gendered people, stages in the life course, and will attend to intersections with race and class. Topically, the readings cover gender socialization, masculinity, LGBT issues, family, work, and the body. Our goal is to understand how scholars are currently using gender in their analyses, and to practice identifying these uses in empirical research. With appropriate planning, this course can fulfill either the "Persons and Society" or "Organizations" requirement for the Sociology AOC.
  • 4.00 Credits

    This seminar is for sociology students working on their thesis this year. The purpose is to help you make significant progress toward a polished final product. The group will focus on the organization of a sociology thesis, techniques and strategies of research, and the craft of writing itself, as well as substantive problems related to identifying an analytical framework and developing a coherent and well-supported argument. Students will work on their individual empirical projects as they share ideas and benefit from one another's feedback. Students are required to participate in class discussions, turn in written work on a weekly basis, give one another constructive feedback, and give formal presentations to their peers and the sociology faculty. Students will draft two full chapters of their thesis by the end of the term.
  • 4.00 Credits

    The term "data" refers to anything we can analyze in order to learn about the world or solve problems. This course is a friendly introduction to the art and science of learning from data. The goal of the course is to provide a foundation that allows students to use data to investigate their passions and answer real-world questions. We will address how to formulate questions, collect data, analyze data, draw conclusions, and communicate results. Students of all levels and in all disciplines are welcome to take this course, and there are no prerequisites. The workshop will be taught remotely. Remote seats will be available for the lecture portion of the course.
  • 4.00 Credits

    The term "data" refers to anything we can analyze in order to learn about the world or solve problems. This course is a friendly introduction to the art and science of learning from data. The goal of the course is to provide a foundation that allows students to use data to investigate their passions and answer real-world questions. We will address how to formulate questions, collect data, analyze data, draw conclusions, and communicate results. Students of all levels and in all disciplines are welcome to take this course, and there are no prerequisites. This courses uses web-apps and basic software to analyze real data.
  • 4.00 Credits

    This course is a second course in statistical modeling and data science. It begins with a review of exploratory data analysis, data wrangling, and visualization using the statistical software package R. Students will learn to create reproducible reports and presentations using R Markdown. We will introduce concepts of random variables and probability theory as we build our modeling skills for both quantitative and categorical responses. We will also extend models from Dealing with Data I to address relationships with more than two variables at a time, including interactions. This includes the study of various statistical models, such as simple and multiple linear regression, along with the chi-squared test and logistic regression. Pre-requisites: Some prior experience with R is helpful but not required. This course assumes students have completed a first course in statistics, such as AP Statistics, Intro Stat, or Dealing with Data I. The workshop will be taught remotely. Remote seats will be available for the lecture portion of the course.
  • 4.00 Credits

    Statistical Learning discusses various statistical models for predictive and inferential purposes, with applications in marketing, finance, genetics and sports, among others. Particular models presented may include linear regression (with extensions such as polynomial regression, LASSO and Ridge regression), logistic regression, decision trees, random forests. Emphasis will be on model interpretation, validation, and diagnostics. The course will be accompanied by consistent coding practices while working with the R Statistical Software, and so familiarity with programming in R is preferred, as is a course in introductory statistics. No cap. Seats for this course will be available to remote students.
  • 4.00 Credits

    This course is an applied statistics course where students will work on real statistical consulting challenges provided by the instructor or the wider college community. These can range from data visualization projects to statistical modeling and inference. Students are supposed to have completed an introductory sequence in statistics that includes multiple regression (such as Dealing with Data I and II) and need to have experience in R.
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