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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 including Python, C/C++ and Labview. Research topics revolve around the CMS experiment on the Large Hadron Collider in Switzerland, including investigations of the newly-discovered Higgs boson, 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

  • 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

Fall

  • PHYS 39000 (1 credit) Physics Data Mine
  • and one of these two labs:
    • either PHYS 39000 (2 credits) Data Mine Dark Matter
    • or PHYS 39000 (2 credits) Data Mine High Energy Physics
  • STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine I or III or V or VII

Spring

  • PHYS 39000 (3 credits: lecture and lab) Physics Data Mine
  • STAT 19000, 29000, 39000, or 49000 (1 credit) The Data Mine The Data Mine II or IV or VI or VIII

Additional information can be found at datamine.purdue.edu/physics.

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.

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