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Vance, Eric Associate Professor

Positions

Research Areas research areas

Research

research overview

  • Eric Vance researches the micro- and macro-theory of statistical collaboration as it applies to the emerging field of data science.

keywords

  • statistical collaboration, data science, statistical applications, professional skills

Publications

selected publications

Teaching

courses taught

  • APPM 2720 - Open Topics in Lower Division Applied Mathematics
    Primary Instructor - Spring 2018
    Provides a vehicle for the development and presentation of new topics that are accessible to lower division Applied Mathematics students. These topics have the potential to be incorporated into the core APPM curriculum. May be repeated up to 6 total credit hours.
  • APPM 4500 - Statistical Collaboration
    Primary Instructor - Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019
    Educates and trains students to become effective interdisciplinary collaborators by developing the communication and collaboration skills necessary to apply technical statistics and data science skills to help domain experts answer research questions. Topics include structuring effective meetings and projects; communicating statistics to non-statisticians; using peer feedback, self-reflection and video analysis to improve collaboration skills; creating reproducible statistical workflows; working ethically. Same as STAT 5680.
  • APPM 4505 - Advanced Statistical Collaboration
    Primary Instructor - Spring 2019
    Educates and trains students to become advanced interdisciplinary collaborators by developing and refining the communication, collaboration and technical statistics and data science skills necessary to collaborate with domain experts to answer research questions. Students work on multiple projects. Discussions center on technical skills necessary to solve research problems and video analysis to improve communication and collaboration skills. Same as STAT 5690.
  • APPM 5500 - Statistical Collaboration
    Primary Instructor - Spring 2018 / Fall 2018 / Spring 2019 / Fall 2019
    Educates and trains students to become effective interdisciplinary collaborators by developing the communication and collaboration skills necessary to apply technical statistics and data science skills to help domain experts answer research questions. Topics include structuring effective meetings and projects; communicating statistics to non-statisticians; using peer feedback, self-reflection and video analysis to improve collaboration skills; creating reproducible statistical workflows; working ethically. Same as STAT 4680.
  • APPM 5505 - Advanced Statistical Collaboration
    Primary Instructor - Spring 2019
    Educates and trains students to become advanced interdisciplinary collaborators by developing and refining the communication, collaboration and technical statistics and data science skills necessary to collaborate with domain experts to answer research questions. Students work on multiple projects. Discussions center on technical skills necessary to solve research problems and video analysis to improve communication and collaboration skills. Same as STAT 4690.
  • STAT 2600 - Introduction to Data Science
    Primary Instructor - Spring 2019 / Fall 2019 / Spring 2020
    Introduces students to importing, tidying, exploring, visualizing, summarizing, and modeling data and then communicating the results of these analyses to answer relevant questions and make decisions. Students will learn how to program in R using reproducible workflows. During weekly lab sessions students will collaborate with their teammates to pose and answer questions using real-world datasets.

Background

International Activities

Other Profiles

Github

  • ervance1