CLIMATE CHANGE: NO LAB (SC2050N)

Have you ever been asked where you stand on 'the climate issue'? Do you believe that humanity stands at the brink of extinction? Do you think that climate change is a concern, but that technology will see humanity through? This course will allow you to construct an educated point of view.
We will start by understanding what drives weather events and what drives climate and climate change. We will then move on to the environmental and societal dependencies on specific climate factors (precipitation,seasonality, predictability, etc.) and we will identify the impacts that certain climatic changes can have on human society and the environment. In carrying out our investigation of the climate system and its impacts we will rely on the latest Assessment Report from the Intergovernmental Panel on Climate Change (IPCC). We will study the emerging results from the reports focusing on observations, impacts, mitigations, and adaptation strategies suggested by the worldwide community of climate scientists contributing to the IPCC. Students are expected to develop a fact-based physics-based opinion of humanities present-day climate change predicament.

https://aupforms.formstack.com/workflows/science_without_lab_request

EVOLUTION OF HUMAN SEXUALITY (SC2087)

Using the scientific method and data on humans, primates, and other animals, we will investigate the evolutionary basis of human sexuality, mating systems, and family structures. Why are there males and females, and how are they different? What are the underlying biological and social factors that shape human and non-human sexual identities and behaviors? Are humans “naturally” monogamous?

TOPICS IN SCIENCE (SC2091)

Topics vary by semester

PLANETARY AND ENVIRONMENTAL DATA SCIENCE (SC3010)

We will explore how to understand environmental systems from data science angles. The course encourages students to think critically and reason quantitatively about an environmental problem rather than just focusing on getting a specific answer. This course will have hands-on practical work with real data, R or Python, and statistical or machine learning software packages.

TOPICS IN SCIENCE (SC3091)

Topics vary by semester

INTERNSHIP (SC3098)

Internships may be taken for 1 or 4 credits. Students may do more than one internship, but internship credit cannot cumulatively total more than 4 credits.

INTERNSHIP (SC3980)

Internships may be taken for 0 credits. Students may do more than one internship, but internship credit cannot cumulatively total more than 4 credits.