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The Data Mine - General Cohort
Are you interested in all the exciting things happening with The Data Mine, but your schedule won't allow for extra courses? If so, this cohort is just for you! Students in the general cohort will take the one-hour credit seminar with all other Data Mine students. However, there will not be the other courses that are associated with the various disciplines or Corporate Partners. Perfect for the incoming student who has a tight schedule of core courses, the senior student who wants the skill set prior to graduating, and anyone in-between.
Additional information can be found at datamine.purdue.edu/.
Eligibility
Open to any undergraduate student with an interest in the Data Sciences
Residential Component
- Students will indicate interest in Learning Communities (LCs) and apply during their housing application process. Students will be informed of the status of their LC application in mid-May.
- Roommate selection will occur after LC decisions have been made. If admitted to an LC, students will need to match with other student(s) admitted to the same LC. If not selected for an LC, the student's original housing preferences will be considered during general housing placement and the student will be able to roommate match with other general housing students.
- The location of LC housing will be determined based on the incoming class size and the needs of the learning community.
- For specific question regarding learning communities, email learningcommunities@purdue.edu.
- If you have questions about housing, contact University Residences (https://www.housing.purdue.edu/) at housing@purdue.edu.
Duration
Full Academic Year
Associated Courses and Information
Fall
- TDM 10100 (1 credit) The Data Mine Seminar l
Spring
- TDM 10200 (1 credit) The Data Mine Seminar ll
Every fee eligible student involved with a learning community (LC) at Purdue will be assessed the $200 LC fee to their university account. These funds support activities and travel, signature LC events, housing assignments and/or course registration and instructor stipends.
Events and Activities Included:
- Weekly dinners with Data Mine LC participants
- Faculty and TA office hours in Hillenbrand
- Seminars by visiting speakers, including practicing data scientists
- Social gatherings with Data Mine LC members
- Meals with campus and community leaders
- Game / recreation nights
- Career and graduate school panels
- Hackathons / data competitions
- Professional development activities
- Tour of Purdue's computational facilities
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.
