Time Schedule:
Priti Ramamurthy
SIS 345
Seattle Campus
Questions how women are affected by economic development in Third World and celebrates redefinitions of what development means. Theoretical perspectives and methods to interrogate gender and development policies introduced. Current processes of globalization and potential for changing gender and economic inequalities assessed. Offered: jointly with ANTH 345/WOMEN 345.
Class description
Questions how women are affected by economic development in the Third World and celebrates their redefinitions of what development means. Key theoretical perspectives and methods to interrogate gender and development are introduced. Current processes of globalization and their potential for changing gender and economic inequalities are assessed. This course is located at the crossroads of two fields: feminism and development studies. Topics will include: Regional trends in gender and economic development and the measurement of development; comparison of "reality" with "representation" of "Third World" women, theories of development and gender; the food crisis and poverty; health, population and reproductive rights; Structural Adjustment Policies
Student learning goals
General method of instruction
The course is designed as part lecture and part discussion. Participants will be required to do the assigned readings and come to class prepared to critique, discuss, elaborate, and synthesize the arguments made. Group work outside of class time before the exams and assignment is encouraged.
Recommended preparation
Previous exposure to women studies and issues concerning international politics and economics are recommended but not absolutely necessary. We will be going over basic concepts in feminism and international political economy at the beginning of the course.
Class assignments and grading
Exams will be take-homes. They will be text and lecture based and designed to encourage students to engage critically with and synthesize course materials. The assignment will be based on applying learning to quantitative and/or textual data.
Grading for the course will be as follows: Attendance, Class participation: 20% Exams: 60% Assignment: 20%
