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The Data Mine - Physics
In this cohort of The Data Mine, students will experience an active research environment targeted at the analysis of large data sets from particle physics experiments. Students will be introduced to and employ a variety of tools and programming languages. Research topics revolve around the CMS experiment on the Large Hadron Collider in Switzerland, including investigations of elusive phenomena such as quantum entanglement and the Higgs Boson using Machine Learning techniques, Quantum Computing, time-dependent AstroPhysics using LSST telescope data, or the search for dark matter particles using the XENON experiment in Italy.
Additional information can be found at datamine.purdue.edu/physics.
Eligibility
Open to any undergraduate student enrolled in the College of Science or College of Engineering with an interest in the Data Sciences
Residential Component
- Required. The location of learning community housing will be determined based on the incoming size and needs of the learning community.
- A signed housing contract is required to apply to this learning community. Once a housing contract is completed, you will indicate your learning community housing preference within the learning community application. Applications received by the priority deadline will be considered first.
- If you want to be placed with a preferred roommate and be admitted to a learning community with a required residential component, both you and your roommate must apply (and be accepted) to the same learning community. Students admitted to learning communities with a required residential component cannot be paired with students admitted to learning communities with an optional residential component.
- For specific question regarding learning communities, email learningcommunities@purdue.edu.
- Completing a housing contract is a separate process from applying to a learning community. 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
- PHYS 32300
- TDM 10100
Spring
- PHYS 32400
- TDM 10200
Additional information can be found at datamine.purdue.edu/physics.
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.
