Discussion-based course w/a developmental examination of child poverty (multi-layer effects of history, culture,&geographic location). Examine: school reform efforts ("turnaround" schools,charter schools); implications of No Child Left Behind &2015 Every Student Succeeds Act; barriers (social isolation,violence,oppression,etc.) that contribute to failure of previous reform initiatives; education policies&proposals aiming to address these issues.

Course builds students' skills in "the art of getting things done". Students will establish the critical leadership & team-building competencies that distinguish highly effective leaders. We will introduce frameworks that will enhance student's: resilience; team leadership skills; capacity for thriving in times of adversity; emotional intelligence; interpersonal skills (including conflict resolution & negotiation skills) & decision making.

Exposes students to the emerging field of Data Science, its domain areas, and popular applications. Topics include analytical methods, ethical issues associated with the field, engineering, and systems necessary to support data-related work, and design principles commonly seen in data communications and human center design. Students learn from leaders in the field through a series of guest lectures and work through discussion examples.

This class is an introduction to K'iche', a Maya language spoken by about a million people in the western Highlands of Guatemala; it is one of the major indigenous languages in the Americas. This class aims to make students competent in basic conversation and to introduce students to Maya culture. It is offered as part of the UVa-Duke-Vanderbilt consortium for distance learning in less commonly taught languages.

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.

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.

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.

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.