EducDataMining&LearnerAnalytic

The primary goal of this course is for students to be comfortable with exploring educational datasets and analyzing them, finding patterns in educational data, creating models that summarize and describe data, and creating predictive models, using a variety of techniques that span machine learning, data mining, and statistics. We will work with datasets that come from educational learning technologies, tutoring and assessment software, as well as other datasets that students might be interested in (e.g.

S- French Art Song

Survey of the history of the French art song from the perspective of the vocalist and the collaborative pianist. Extensive study of vocal accompanying techniques with the practical experience of performing with vocal majors.

P- Senior Bridges

This course is a peer support group for seniors in their last semester. Meeting every other week, the course is intended to help students enter a career field or obtain their first job directly after graduation. It is also suitable for students applying for fellowships, internships, and graduate or professional schools. Supervised by a History Department faculty member with the assistance of the HFA Career Development Services Team, meetings will also feature alumni guests who will share their career experiences and offer advice.

S-Critical Approaches/Devlpmnt

Development is a concept at the foreground of how we think about others. This course provides a critical introduction to theories and strategies of development as they have been applied in Asia, Africa, and Latin America. Taking a cultural and historical perspective, we examine not only the economic dimension of development programs, but also the worldview embedded in these programs and how this shapes international relations and how we see ?the other.?

EducDataMining&LearnerAnalytic

The primary goal of this course is for students to be comfortable with exploring educational datasets and analyzing them, finding patterns in educational data, creating models that summarize and describe data, and creating predictive models, using a variety of techniques that span machine learning, data mining, and statistics. We will work with datasets that come from educational learning technologies, tutoring and assessment software, as well as other datasets that students might be interested in (e.g.

ST- Bad Lovers

Love is constantly thematized in medieval and Renaissance literature. Authors try to account for what love is, what its effects are on the body and the soul, how one is supposed to obtain it and keep it, but also how and why it should be avoided. Writing about love is also questioning what is considered essentially good or bad for oneself and the community. In this course, students will explore medieval and early modern love theories and practices in a selection of Iberian texts, as they reflect on literature as a means for ethical interrogation. Taught in Spanish.
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