About the Vertically Integrated Projects Cohort
Students in this cohort of The Data Mine will work in multidisciplinary teams of students to engage in authentic and extended research projects with faculty and graduate student mentors. Research teams are vertically-integrated in that they consist of first-year students, sophomores, juniors, and seniors. There are currently over 50 VIP teams engaging faculty and students from across the university. Listing of teams
Eligibility
Any undergraduate student with interest in the Data Sciences. The student background will help to determine the specific VIP research team which the student is admitted. (first-year students and continuing students are both welcome)
Residential Component
- The Housing Reapplication process – Residents can opt into the Housing Reapplication Lottery from October 14 at 8:30 a.m. EDT to October 22 at 5 p.m. EDT in the Housing Portal.
- Your roommate (in most cases) will be a member of The Data Mine.
- If you want to live on campus, it is necessary to complete a housing contract. (Completing a housing contract is a separate process from applying for a learning community.)
Duration
Fall and spring semesters
Required classes
The information below is subject to change.
Fall
- TDM 10100, 20100, 30100, 40100 (1 credit; 5 sections available) The Data Mine I, III, V, VII
- Enrollment in the appropriate course/section of the VIP courses (VIP 17910/27920/37920/47920). Students may enroll in these courses for multiple semesters.
- NOTE: First-year Engineering students in the Data Mine-VIP learning community may have the option of participating in the VIP learning community course sequence instead of VIP 17910, which consists of taking ENGR 13300 Transforming Ideas to Innovation with VIP 17911 in fall.
Spring
- TDM 10200, 20200, 30200, 40200 (1 credit; 5 sections available) The Data Mine II, IV, VI, or VIII
- Enrollment in the appropriate course/section of the VIP courses (VIP 17910/27920/37920/47920). Students may enroll in these courses for multiple semesters.
- NOTE: First-year Engineering students in the Data Mine-VIP learning community may have the option of participating in the VIP learning community course sequence instead of VIP 17910, which consists of taking VIP 17912 in spring.
Events and Activities
- Weekly dinners with Data Mine participants
- Faculty and TA office hours onsite in Hillenbrand
- Seminars by visiting speakers, including practicing data scientists
- Social gatherings with Data Mine 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
faculty
