• Contact Info

Hoenigman, Rhonda Senior Instructor

Positions

Research Areas research areas

Research

research overview

  • Dr. Hoenigman's research focuses on modeling underlying dynamics of relevant social issues such as hunger and food waste. A novel component of her work is the application of predictive modeling and learning algorithms to domains where these algorithms are not frequently used. Dr. Hoenigman also coordinates with local relief agencies to affect change in her community by involving the community in her research, and using the research findings to inform community practices.

keywords

  • predictive modeling, applying computer science modeling to social problems such as hunger and drought, modeling food waste in boulder, understanding underlying dynamics of social problems

Teaching

courses taught

  • CSCI 2900 Lower Division, Undergraduate Level Independent Study (Spring 2019)
  • CSCI 4831 Special Topics in Algorithms (Spring 2019)
  • CSCI 4900 Upper Division, Undergraduate Level Independent Study (Spring 2019)
  • CSCI 4950 Senior Thesis (Spring 2019)
  • CSCI 2275 Programming and Data Structures (Fall 2018)
  • CSCI 2900 Lower Division, Undergraduate Level Independent Study (Fall 2018)
  • CSCI 3104 Algorithms (Fall 2018)
  • CSCI 4900 Upper Division, Undergraduate Level Independent Study (Fall 2018)
  • CSCI 4950 Senior Thesis (Fall 2018)
  • CSCI 5900 Master's Level Independent Study (Fall 2018)
  • CSCI 6800 Master of Engineering Project (Fall 2018)
  • CSCI 6940 Master's Degree Candidacy (Fall 2018)
  • CSCI 6950 Master's Thesis (Fall 2018)
  • CSCI 7900 Doctoral Level Independent Study (Fall 2018)
  • CSCI 2270 Computer Science 2: Data Structures (Spring 2018)
  • CSCI 2900 Lower Division, Undergraduate Level Independent Study (Spring 2018)
  • CSCI 4831 Special Topics in Algorithms (Spring 2018)
  • CSCI 4900 Upper Division, Undergraduate Level Independent Study (Spring 2018)
  • CSCI 4950 Senior Thesis (Spring 2018)

Background

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