Climate change is an urgent and multifaceted challenge facing all of society.
Harvard faculty teach an expanding array of courses examining the many dimensions of this shared challenge. Explore courses in climate and sustainability ranging from economics and English to public health and climate science.
HARVARD UNIVERSITY
THE SALATA INSTITUTE FOR CLIMATE AND SUSTAINABILITY
The seminars consist of student presentation of plans for collection and analysis of data, with discussion by students and faculty. Preparatory work is done under tutorial arrangements with members of the faculty. The emphasis is on conceptual issues necessary for the development of a feasible and informative study.
This seminar course is designed to teach an understanding of the basic principles of water pollution and water pollution issues on local, regional and global scales.
Climate change has evolved over the past four decades into one of the most pressing challenges to the sustainable development of human societies. This course takes a realistic look at the effects of climate change and of climate change policies, at local, national, and international levels.
This is an interdisciplinary graduate-level and advanced undergraduate-level course in which students explore topics in molecular microbiology, microbial diversity, host-microbe associations in health and disease, and microbially-mediated geochemistry in depth.
This seminar course is designed to teach an understanding of the basic principles of water pollution and water pollution issues on local, regional and global scales.
This course is an action-oriented introduction to theory and practice toward socially just education that enables all young people to thrive in settings of uncertainty.
Topics in linear algebra that frequently arise in applications, especially in the analysis of large data sets: linear equations, eigenvalue problems, linear differential equations, principal component analysis, singular value decomposition; data mining and machine learning methods: clustering (unsupervised learning) and classification (supervised) using neural networks and random forests
This course is intended as a survey of the ideas, theories, data, methods and debates in the study of global health and population. It is organized around two major themes. The first theme – family and population health – will cover the major present and future drivers of population health globally (such as aging, urbanization, changing lifestyles, pandemics, and climate change), as well as the major burdens of diseases and their global distributions. It will further cover the important relationships between global health, human development and equitable societies. The second theme – health systems – will cover underlying theories and empirical evidence for analyzing different components of a health care system and how they interact with each other to determine a health system’s performance.
Fundamental concepts and formalisms of conservation of energy and increase of entropy as applied to natural and engineered environmental and biological systems.
The purpose of this course is to introduce students to the complexities of and best practices for community engaged/action research and collaboration. Students will integrate skills and knowledge from their environmental health training to address community interests/needs.
