What makes a great leader? Can we identify who should be a leader? Are leaders born or made? How does an education in the liberal arts prepare someone to become a leader? Through reading a mix of the Great Books of Western Civilization (e.g., Homer, Plato, Shakespeare) and contemporary classics in leadership studies, we will explore these and other related questions.

In a culturally and socially diverse society, discussion about issues of difference, conflict and community are needed to facilitate understanding between social/cultural groups. In this intergroup dialogue, students will actively participate in two days (16 hours) of semi-structured, face-to-face meetings with students from other social identity groups. Students will learn from each others' perspectives, read and discuss relevant reading material, and explore their own and other groups' experiences in various social and institutional contexts.

In a culturally and socially diverse society, discussion about issues of difference, conflict and community are needed to facilitate understanding between social/cultural groups. In this intergroup dialogue, students will actively participate in two days (16 hours) of semi-structured, face-to-face meetings with students from other social identity groups. Students will learn from each others' perspectives, read and discuss relevant reading material, and explore their own and other groups' experiences in various social and institutional contexts.

Intergroup Dialogue engages individuals and groups in facilitated small group processes to explore difficult issues to develop shared meaning across lines of difference, and generate opportunities for collaborative action. This course is designed to give students both a theoretical and practical foundation in the awareness, knowledge and skills needed to effectively plan, facilitate and evaluate Intergroup Dialogues.

Data scientists answer questions with scientific and social relevance using statistical theory and computation. We will discuss elementary topics in statistics and learn how to write code (in Python) to visualize data and perform simulations. We will use these tools to answer questions about real data sets. We will also explore ethical issues faced by data scientists today.

Data scientists answer questions with scientific and social relevance using statistical theory and computation. We will discuss elementary topics in statistics and learn how to write code (in Python) to visualize data and perform simulations. We will use these tools to answer questions about real data sets. We will also explore ethical issues faced by data scientists today.

An introduction to the mathematical aspects behind digital image processing. Students will learn how digital images can be represented using matrices and how matrix manipulations lead to image enhancements. Topics include converting images to black and white, adjusting image brightness via gamma correction, blurring images using smoothing masks, and sharpening images using derivative filters. Image restoration techniques such as the removal of noise or motion blur will be discussed. Students will apply theoretical knowledge to images using MATLAB.

An introduction to the mathematical aspects behind digital image processing. Students will learn how digital images can be represented using matrices and how matrix manipulations lead to image enhancements. Topics include converting images to black and white, adjusting image brightness via gamma correction, blurring images using smoothing masks, and sharpening images using derivative filters. Image restoration techniques such as the removal of noise or motion blur will be discussed. Students will apply theoretical knowledge to images using MATLAB.