The Data Mine - Earth, Atmospheric, and Planetary Sciences
As part of The Data Mine, students in this learning community work with large, complex data sets in the geosciences including atmospheric, planetary, geology and geophysics practices. Emphasis will be placed on using big data analysis tools in software and lab settings to study the nature of data in the geosciences. Students will use their data analysis skills to formulate a scientific question and propose and design a semester-length research project.
Additional information can be found at datamine.purdue.edu/EAPS.
Eligibility
Any undergraduate student enrolled in the College of Science with an interest in the Data Sciences and Geosciences
Residential Component
- Incoming First-Year Students from this learning community must reside in Hillenbrand Hall
- A signed housing contract is required to apply to this learning community.
- 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
Full Academic Year
Associated Classes
Incoming Students
Fall
- EAPS 19100 (1 credit) Data Mine: Free & Fair Data
- STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine I or III or V or VII
Spring
- EAPS 19100 (1 credit) Data Mine: Free & Fair Data II
- STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine II or IV or VI or VIII
Current Students
Fall
- EAPS 22700 (2 credits) Introduction To Atmospheric Observation And Measurements
- STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine I or III or V or VII
Spring
- EAPS 19100 (1 credit) Data Mine: Free & Fair Data
- STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine II or IV or VI or VIII
Additional information can be found at datamine.purdue.edu/EAPS.
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.