Will center on exposing students to contemporary pipelines for data analysis through a series of steadily escalating use cases. The course will begin with simple local database construction such as SQLite and foundation knowledge in terms of computational environments. The content will lay the groundwork for more advanced Systems Domain courses in the major.

Designed not only to teach students tools necessary to visualize data but also effective techniques for explaining data driven results with an emphasis on communicating statistical output in a manner that best represents the findings. Lays the foundation for more advanced topics in the Data Design domain. Content on the development of interactive plots and dashboards will also be included.

This course exposes students to foundational knowledge in each of the four high level domain areas of data science (Value, Design, Analytics, Systems). This includes an emphasis on ethical issues surrounding the field of data science and how these issues originate and extend into society more broadly.

Nonprofits -- from refugee advocacy groups to homeless shelters to world-class museums and universities -- along with political campaigns and social movements share a common problem: they need money. Fundraising is fuel for action and a marketable skill. This experiential learning class will help you to understand the different types of fundraising and the essentials of designing and executing a development plan by actively raising money.

This course uses basic models from microeconomics to understand how these decision makers will respond to policies and when voluntary actions in private markets may be expected to lead to suboptimal outcomes and hence the circumstances under which a collective decision to control or influence behavior might produce better outcomes than private choices.

The adjustment from HS to college is filled with turbulent transitions and with opportunities for discovery, growth, and development of critical life skills. Course focuses on development of broad skills to create fulfilling lives and successful careers after college, especially in 4 areas: (1) development of emotional resilience skills, (2) development of life management skills, (3) intro to leadership concepts, and (4) establishment of small communities of students.

Will expose student to fundamental coding languages in data science. Python and R will be the primary focus of the course. Popular packages such as pandas and tidyverse will be covered in depth. Additionally, project management skills such as Git and Github will be covered.

This course presents the simplest economic models explaining how individuals and organizations respond to changes in their circumstances and how they interact in markets, and it applies these models to predict the effects of a wide range of government programs. It also analyzes justifications that have been offered for government actions.

Leading in the public context requires an understanding of one's own & others' thoughts, feelings, & motivations; & tools for working toward mutually valued outcomes. Course uses behavioral science to develop this understanding & build a toolkit. Through exercises, lectures, discussion, readings, & projects, students will learn general behavioral principles that they can leverage to work toward valued communal goals within public institutions.

This integrated and interdisciplinary course provides foundational knowledge on the multifaceted aspects of both problems and solutions related to sustainability, and challenges participants to deepen their understanding of global sustainability issues through a real-world, collaborative Think Global/ Act Local project.