Next Steps: Life After UMass

This course is designed to help prepare students for life after college. The first part of the course asks students to explore their interests, skills, and values to better understand themselves and to begin to consider the kinds of careers they might wish to pursue. We then develop a set of tools and skills for applying for employment or graduate school, and for adjusting to life after college.

S- Probation & Parole

This course will explore the role that community supervision plays in the U.S. Criminal Justice System. The course will span the evolution of probation services from the 19th Century father of probation, John Augustus, to the modern day focus on evidence based practices supervision. Likewise, the history of parole will be explored from its origin in England and Ireland to its current practice in community corrections. We will also focus on the federal probation system, which is practiced across the United States and its territories.

S-Domestic Violence

This course looks at domestic, partner, and family violence as a social problem. Students will learn about the feminist social movement that brought domestic violence to national attention, how protections were codified into law, and the major critiques that have since arisen. Final project will combine your experiences in the community with what you learn in class, as you and a small group propose a potential intervention into the social problem of domestic violence.

Sociology of Mental Health

Introduction to the sociology of mental illness, definitions and descriptions of mental illness, social and cultural causes for mental illness, family and public reactions and the problems of measuring mental illness and methods for its cure. Prerequisite: 100-level SOCIOL course.

Social Network Analysis

Social networks are commonplace in our everyday world and increasingly relevant online. This is an undergraduate-level introductory course on the study of social networks. This course provides a survey of substantive topics in the area of social networks and introduces fundamental concepts and methods of social network analysis. In addition, students will receive hands-on experience learning how to work with social network data. No prior experience with statistics or programming languages is required.
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