Eric Vance researches the micro- and macro-theory of statistics and data science collaboration. He innovates better ways to teach data science by integrating the humanities and employing best practices in team-based learning pedagogy. He supports research throughout the sciences, engineering, and the humanities by providing bespoke solutions to researchers' data science and statistical needs.
keywords
statistical collaboration, data science, statistical applications, professional skills, pedagogy
AHUM 1825 - Inclusive Interdisciplinary Data Science for All
Primary Instructor
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Fall 2021 / Fall 2022
Team-taught module-based course merges data science and the humanities without requiring prior experience in either one. Students will synthesize qualitative and quantitative approaches to urgent research questions and practice putting data to work in the world. They will learn to use data analysis, statistics, and basic programming skills to answer questions of human importance, while applying the central humanities skills of source critique, attention to human motives, contextualization, and argument.
APPM 1360 - Calculus 2 for Engineers
Primary Instructor
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Spring 2021
Continuation of APPM 1350. Focuses on applications of the definite integral, methods of integration, improper integrals, Taylor's theorem, and infinite series. Degree credit not granted for this course and MATH 2300.
APPM 2720 - Open Topics in Lower Division Applied Mathematics
Primary Instructor
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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
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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 5500 - Statistical Collaboration
Primary Instructor
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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 6950 - Master's Thesis
Primary Instructor
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Fall 2019 / Spring 2020
May be repeated up to 6 total credit hours.
STAT 2600 - Introduction to Data Science
Primary Instructor
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Spring 2019 / Fall 2019
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.
STAT 4680 - Statistical Collaboration
Primary Instructor
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Spring 2020 / Fall 2021 / Spring 2022 / Fall 2022
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.
STAT 4690 - Advanced Statistical Collaboration
Primary Instructor
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Spring 2022
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.
STAT 5680 - Statistical Collaboration
Primary Instructor
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Spring 2020 / Fall 2021 / Spring 2022 / Fall 2022
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.
STAT 5690 - Advanced Statistical Collaboration
Primary Instructor
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Spring 2022
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.
