Intro Ideas/Applic Statistics

This course provides an overview of statistical methods, their conceptual underpinnings, and their use in various settings taken from current news, as well as from the physical, biological, and social sciences. Topics will include exploring distributions and relationships, planning for data production, sampling distributions, basic ideas of inference (confidence intervals and hypothesis tests), inference for distributions, and inference for relationships, including chi-square methods for two-way tables and regression.

Memory Work

How should we write the past from the standpoint of the next generation? What do we do with familial stories we've been told alongside intergenerational silences, half truths, and outright lies? What's the role of public histories and cultural mythologies in the way we remember and retell our personal past? What methods and forms do we need to approach a fragmented past that's often hiding from us, whether due to erasures of war, colonization, migration, or assimilation?

Memory Work

How should we write the past from the standpoint of the next generation? What do we do with familial stories we've been told alongside intergenerational silences, half truths, and outright lies? What's the role of public histories and cultural mythologies in the way we remember and retell our personal past? What methods and forms do we need to approach a fragmented past that's often hiding from us, whether due to erasures of war, colonization, migration, or assimilation?

Medical Anthropology

This course is an introduction to the rich and growing field of medical anthropology: its theories, methods, and applications. Through a series of intriguing ethnographies, along with key supplemental material, we will attempt to get a handle on "medical anthropology" through consideration of such topics as immigration, the culture of medicine, the experience of illness, caregiving, addiction, violence, and humanitarian intervention. We will focus on how ethnographic research and social theory can enrich our understanding of illness and care.

Jasper L Mcchesney

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Primary Title:  
Senior Data Analyst
Institution:  
UMASS Amherst
Department:  
College of Info & Computer Sciences
Email Address:  
jmcchesney@cs.umass.edu
Office Building:  
Lederle Grad Research Center
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