Not available at this time

Not available at this time

This course will focus on advanced quantitative methods used in anthropology, including ordination techniques, multivariate statistics, phylogenetic comparative methods, ecological modeling, and randomization approaches. Theoretical and philosophical issues related to hypothesis testing and inferential statistics will also be discussed. In collaboration with the instructor, students will design, implement, and write-up a research project applying the methods learned in the course. The R computing environment will be used extensively, though no prior experience is needed.

This graduate seminar surveys methods of ethnographic data analysis. Students will become familiar with a range of approaches to analyzing qualitative data. The focus will be on developing skills to conduct systematic analysis of textual data in ways that honor what human participants have to say, treasure the stories and artifacts they create, and respect the complexity of social life as it is lived and represented. Skills can be extended to images, audio, and video.

This course will introduce students to theoretical frameworks, controversies, methods, and other topics of community-based research and practice in the anthropological tradition. Students will understand the history of applied anthropology, critiques of anthropology coming from the global south, and critical epistemological approaches of contemporary engaged researchers and practitioners.

This course introduces incoming graduate students in anthropology to the philosophies, research issues, and day-to-day practices of the department of anthropology at UMass Amherst. Basic skills in writing research proposals, cv's, and formulating career goals are emphasized. Enrollment is restricted to incoming students in the Department of Anthropology.