Mar 28, 2024  
Website Catalog (In Development) 
    
Website Catalog (In Development)

HST 104 - Health for Hispaniola


Students will use a scientific approach to explore dynamics between health care, education, and poverty, while engaging in experiential service learning on the Island of Hispaniola.  Classes will introduce students to scientific methods as well as the history, culture, economic, political, and spiritual aspects of Haiti or the Dominican Republic.  Students will apply scientific concepts and models while engaging in diverse service projects in urban and rural communities.  Partner needs and students’ preexisting skills will determine specific service projects.  The course is designed to foster fellowship, provide humanitarian assistance, enhance civic responsibility, develop scientific, critical thinking and reflection skills required for participation in our dynamic, global world.

Credits: 4
Cross-listed
BIO 104
Hours
1 Class Hour, 6 Laboratory Hours
Course Profile
Learning Outcomes of the Course:

Upon completion of this course the student will be able to:

  1. Within a given field or discipline, identify the consequences of racism in the United States at the individual, group, and systemic levels.
  2. Describe the historical and contemporary societal factors that shape the development of individual and group identity involving race, class, and gender.
  3. Analyze the role that complex networks of social structures and systems play in the creation and perpetuation of the dynamics of power, privilege, oppression, and opportunity.
  4. Apply the principles of rights, access, equity, and autonomous participation to past, current, or future social justice action.
  5. Demonstrate scientific reasoning applied to the natural world, including an understanding of the methods scientists use to explore natural phenomena, including observation, hypothesis development, measurement and data collection, experimentation, evaluation of evidence, and employment of data analysis or mathematical modeling; and application of scientific data, concepts, and models in one of the natural sciences.