The Data Mine - Liberal Arts
Students in this Data Mine cohort will learn to recognize, explore and apply philosophical methods and approaches to data science. Through close readings of Homer’s Odyssey and Virgil’s Aeneid, students will develop enhanced information literacy skills that will enable them to use GIS mapping to project the routes of travel and migration depicted within. Through textual engagement and critical analysis, students will also explore the socio-cultural ramifications in income inequality. The technical skills learned from these projects can later be used to analyze complex, fluid systems of content or human migration and analyze contemporary data issues.
Eligibility
Any undergraduate student with interest in the Data Sciences
Residential Component
- Students from this learning community must reside in Hillenbrand Hall
- Information on this residence hall can be found here
- Students who are required to reside in a different residence hall (e.g. due to the Honors College or athletics participation) or who do not sign a housing contract may not participate in this learning community
- Your roommate in most cases will be a member of the learning community
- Completing a housing contract is a separate process from applying for a learning community
Duration
Fall and Spring semesters
Associated Classes
Fall:
- PHIL 12000 Critical Thinking: Philosophy of Data
- SCLA 10100 Transformative Texts I
- STAT 11300 Statistics and Society
- STAT 19000 1 credit -- The Data Mine I
Spring:
- (optional) PHIL 20700 Ethics for Technology, Engineering and Design
- A one-credit course on Ethics in Data Science will be taught during the first eight weeks of the semester to members of three cohorts in The Data Mine
- SCLA 10200 Transformative Texts II
- One-credit Data Visualization Practicum
- STAT 19000 1 credit -- The Data Mine II
Events and Activities Included:
- Weekly dinners with LC participants
- Tour of Purdue’s computational facilities
- Social gatherings with LC members
- Seminars by visiting speakers including practicing actuaries and data scientists
- Meals with campus and community leaders
- Game / recreation nights
- Career and graduate school panels
Information above is subject to change. If you are placed in the LC, the associated courses will be on your schedule prior to you registering for the rest of your courses.
