Revisiting the classic Nature vs. Nurture debate, this course explores the interaction between genetics (nature) and environment(nurture) in shaping health and human outcomes. We will begin by reviewing fundamental principles of genetics and molecular biology, using real-world examples to illustrate how genetic variations directly influence health. Next, we will examine how environmental exposures interact with genes or influence gene expression. Finally, we will explore how an individual's genetic makeup can modify the effects of environmental factors on health and disease.

Did you ever wonder what makes your favorite pet or animal different from you? Its body shape? its nutritional requirement? Its behavior? Using a student-led approach, we will broach a wide variety of subjects tat could include animals, health, anatomy and physiology, studentship, and more.

Through readings, songs, clips and short films, this course centers the theories and everyday practices of Black Feminists as a framework for seeking college success. From the Combahee River Collective, Audre Lorde and bell hooks, to Beyonce, Megan the Stallion, and even Doechii, the course engages in a dialogue to highlight key principles and goals of Black feminists, past and present.

While feminism and environmental justice are both political projects of social change, their objects or objectives are not the same. As we sink into the 21st century, amid looming fears of ecological catastrophes and socio-economic crises, is a conversation between these two projects likely to be productive for both struggles, or are their goals at odds with each other? This class will examine the perceived, existing, and potential links (or disjuncts) between feminism and environmental justice.

The course covers advanced topics in financial intermediation, including mutual funds, dealers, and hedge funds. It introduces the business model of each of these intermediaries, including how they manage liquidity, credit, and interest rate risk.

This is course is for students who want to learn essential statistical and computational skills for health data science. Students will obtain hands-on experience in implementing a wide range of commonly used statistical methods with real data from public health and biomedical research using the statistical programming language R. The course motivates statistical reasoning and methods through real health data.

What is a word? Do the things we put spaces around when we write correspond to anything in our mental grammars? How does morphology relate to phonology, and to other areas of grammar, such as syntax and semantics? To what extent do the principles governing the structures and forms of words need to be boxed off from other areas of grammar, and to what extent are they symptomatic of deeper principles which hold of the language faculty as a whole?

Development of individual skills necessary for designing, implementing, testing and modifying larger programs, including: design strategies and patterns, using functional and object-oriented approaches, testing and program verification, code refactoring, interfacing with libraries.