Data Analytics Pedagogy for Classics Credit Hours: 3 Level: Graduate Undergraduate Introduces practical skills in data analysis and visualization and enhances AI literacy, tailored for the fields of Classics and ancient studies. Students explore applications such as mapping ancient sites, performing statistical analyses on historical data, and conducting linguistic analyses of classical texts, and becoming proficient conducting data-supported interdisciplinary research. Prerequisites: One 1000-level CLAS course or one 3000-level CLAS course or permission of department Course Type: Classical Culture
