RTG – Coding Theory, Cryptography and Number Theory
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  • Home
  • People
    • Faculty
    • Students
  • Undergraduate
    • GRE Preparation
    • Preparation for REU
      • Preparation for REU 2020
      • Preparation for REU 2019
      • Preparation for REU 2018
      • Preparation to REU 2017
    • REU
      • REU 2020
      • REU 2019
      • REU 2018
      • REU 2017
    • Creative Inquiry
  • Graduate
    • Path to Research Readiness
    • Algebra Prelim Preparation
    • Advanced teaching experience
  • Research
    • Early Career Research Workshop in Coding Theory, Cryptography, and Number Theory
      • 2019 ECRW
      • 2018 ECRW
    • Reading and working groups
    • RTG – Coding, Cryptography and Number Theory (CCNT) Seminar
    • Shannon Centennial at Clemson
  • Media archives
    • News
    • RTG seminar videos
      • 2016-2017
      • 2017-2018
      • 2018-2019
    • Lecture series videos
      • 2016/17: Nigel Boston
      • 2017/18: Gauri Joshi
      • 2018/19: Elisa Gorla
    • Other seminars videos

REU 2017

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2017 REU faculty:

  • Kevin James
  • Felice Manganiello

2017 Participants and their home institution:

  • Antony Angwu (University of Maryland Baltimore County)
  • Yariana Diaz (Amherst College, Mathematics)
  • Friesenhahn Sophia (Willamette University)
  • Angelina Grosso (University of Kentucky)
  • Phillip Harris (University of Illinois at Urbana-Champaign)
  • Siddarth Kannan (Pomona College)
  • Shiwani Varal (The College of Wooster)
  • Alexander Vetter (Villanova University)
  • Emily Zhu (Carnegie Mellon University)

2017 Dates:

May 29 – July 21, 2017

Projects:

The resulting papers from this REU will be posted here as they become available.

  • Frobenius Distributions in short intervals for CM elliptic curves by Anthony Agwu, Phillip Harris, Kevin James, Siddarth Kannan, and Huixi Li.
  • Batch Codes from Hamming and Reed-Müller Codes by Travis Baumbaugh, Yariana Diaz, Sophia Friesenhahn, Felice Manganiello, Alexander Vetter

Supported by the National Science Foundation (NSF) under Grant No. DMS:1547399. Any opinions, findings and conclusions or recommendations expressed in these materials are those of the authors and do not necessarily reflect the views of NSF.