Faculty Profile

Denise Philpot

Title
Clinical Associate Professor
Department
Toulouse Graduate School
College
University of North Texas

    

Education

PhD, University of North Texas, 2014.
Major: Applied Technology & Performance Improvement
Degree Specialization: Management Science
Dissertation Title: Tenured/Tenure-track Faculty Diversity: Does Search Committee Training Make a Difference?
MBA, University of North Texas, 2007.
Major: Organizational Behavior/Human Resource Management
BBA, University of La Verne, 1993.
Major: Business Administration

Current Scheduled Teaching*

ADTA 5940.001, Analytics Capstone Experience, Spring 2023 Syllabus
IPAC 4130.001, Data Analytics and Computational Statistics 1, Spring 2023 Syllabus
ADTA 5130.001, Data Analytics I, Spring 2023
ADTA 5130A.001, Exploratory Data Analysis & Probability, Spring 2023 Syllabus
ADTA 5100.800, Fundamentals of Data Analytics, Spring 2023 Syllabus
ADTA 5120.110, Introduction to Data Analytics, Spring 2023
ADTA 5900.001, Special Problems, Spring 2023
ADTA 5900.102, Special Problems, Spring 2023

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

ADTA 5940.501, Analytics Capstone Experience, Fall 2022 Syllabus SPOT
ADTA 5130.002, Data Analytics I, Fall 2022 Syllabus SPOT
ADTA 5130.003, Data Analytics I, Fall 2022 Syllabus SPOT
ADTA 5120.110, Introduction to Data Analytics, Fall 8W2 2022 Syllabus SPOT
ADTA 5900.100, Special Problems, Fall 2022
ADTA 5900.110, Special Problems, Fall 8W2 2022
ADTA 5900.501, Special Problems, Fall 2022
ADTA 5940.501, Analytics Capstone Experience, Summer 10W 2022 Syllabus
ADTA 5900.100, Special Problems, Summer 10W 2022
ADTA 5900.112, Special Problems, Summer 8W2 2022
ADTA 5940.501, Analytics Capstone Experience, Spring 2022 Syllabus SPOT
IPAC 4130.002, Data Analytics and Computational Statistics 1, Spring 2022 Syllabus SPOT
IPAC 4130.100, Data Analytics and Computational Statistics 1, Spring 8W1 2022 Syllabus SPOT
ADTA 5130.002, Data Analytics I, Spring 2022 Syllabus SPOT
ADTA 5130.100, Data Analytics I, Spring 8W1 2022 Syllabus SPOT
ADTA 5230.002, Data Analytics II, Spring 2022 Syllabus SPOT
ADTA 5100.800, Fundamentals of Data Analytics, Spring 3W1 2022 Syllabus SPOT
ADTA 5120.110, Introduction to Data Analytics, Spring 8W2 2022 Syllabus SPOT
CSCE 5310.001, Methods in Empirical Analysis, Spring 2022 SPOT
ADTA 5900.100, Special Problems, Spring 2022
ADTA 5900.501, Special Problems, Spring 2022
ADTA 5940.501, Analytics Capstone Experience, Fall 2021 Syllabus SPOT
IPAC 4130.001, Data Analytics and Computational Statistics 1, Fall 2021 Syllabus SPOT
IPAC 4230.001, Data Analytics and Computational Statistics 2, Fall 2021 Syllabus SPOT
ADTA 5130.001, Data Analytics I, Fall 2021 Syllabus SPOT
ADTA 5130.002, Data Analytics I, Fall 2021 Syllabus SPOT
ADTA 5230.001, Data Analytics II, Fall 2021 Syllabus SPOT
CSCE 5310.002, Methods in Empirical Analysis, Fall 2021 Syllabus SPOT
CSCE 5310.003, Methods in Empirical Analysis, Fall 2021 Syllabus SPOT
ADTA 5900.126, Special Problems, Fall 2021
ADTA 5940.501, Analytics Capstone Experience, Summer 10W 2021 Syllabus SPOT
ADTA 5900.126, Special Problems, Summer 10W 2021
ADTA 5940.501, Analytics Capstone Experience, Spring 2021 Syllabus SPOT
IPAC 4130.501, Data Analytics and Computational Statistics 1, Spring 2021 Syllabus SPOT
ADTA 5130.001, Data Analytics I, Spring 2021 Syllabus SPOT
ADTA 5130.501, Data Analytics I, Spring 2021 Syllabus SPOT
ADTA 5100.100, Fundamentals of Data Analytics, Spring 8W1 2021 Syllabus SPOT
CSCE 5310.001, Methods in Empirical Analysis, Spring 2021 Syllabus SPOT
CSCE 5310.002, Methods in Empirical Analysis, Spring 2021 Syllabus SPOT
ADTA 5940.501, Analytics Capstone Experience, Fall 2020 Syllabus SPOT
IPAC 4130.501, Data Analytics and Computational Statistics 1, Fall 2020 Syllabus SPOT
ADTA 5130.501, Data Analytics I, Fall 2020 Syllabus SPOT
ADTA 5100.100, Fundamentals of Data Analytics, Fall 8W1 2020 Syllabus SPOT
ADTA 5100.126, Fundamentals of Data Analytics, Fall 8W1 2020 Syllabus
CSCE 5310.001, Methods in Empirical Analysis, Fall 2020 SPOT
CSCE 5310.008, Methods in Empirical Analysis, Fall 2020
CSCE 5310.501, Methods in Empirical Analysis, Fall 2020 Syllabus SPOT
ADTA 5900.502, Special Problems, Fall 2020
ADTA 5900.503, Special Problems, Fall 2020
ADTA 5940.501, Analytics Capstone Experience, Summer 10W 2020 Syllabus SPOT
ADTA 5100.100, Fundamentals of Data Analytics, Summer 8W1 2020 Syllabus SPOT
ADTA 5900.001, Special Problems, Summer 10W 2020
ADTA 5900.501, Special Problems, Summer 5W2 2020
ADTA 5940.501, Analytics Capstone Experience, Spring 2020 Syllabus
ADTA 5130.080, Data Analytics I, Spring 8W1 2020
ADTA 5130.086, Data Analytics I, Spring 8W1 2020
ADTA 5130.100, Data Analytics I, Spring 8W1 2020 Syllabus
ADTA 5230.501, Data Analytics II, Spring 2020 Syllabus
CSCE 5380.501, Data Mining, Spring 2020
ADTA 5100.080, Fundamentals of Data Analytics, Spring 8W1 2020
ADTA 5100.100, Fundamentals of Data Analytics, Spring 8W1 2020 Syllabus
ADTA 5100.126, Fundamentals of Data Analytics, Spring 8W1 2020
ADTA 5100.800, Fundamentals of Data Analytics, Spring 3W1 2020
ADTA 5100.880, Fundamentals of Data Analytics, Spring 3W1 2020
ADTA 5900.100, Special Problems, Spring 8W2 2020
ADTA 5940.086, Analytics Capstone Experience, Fall 2019
ADTA 5940.501, Analytics Capstone Experience, Fall 2019 Syllabus SPOT
ADTA 5130.080, Data Analytics I, Fall 8W1 2019 Syllabus SPOT
ADTA 5130.086, Data Analytics I, Fall 8W1 2019 SPOT
ADTA 5130.100, Data Analytics I, Fall 8W1 2019 SPOT
ADTA 5230.501, Data Analytics II, Fall 2019 Syllabus SPOT
CSCE 5380.501, Data Mining, Fall 2019 SPOT
CSCE 5300.501, Introduction to Big Data and Data Science, Fall 2019 SPOT
ADTA 5120.501, Introduction to Data Analytics, Fall 2019 Syllabus SPOT
CSCE 5310.080, Methods in Empirical Analysis, Fall 8W1 2019 SPOT
ADTA 5940.501, Analytics Capstone Experience, Summer 10W 2019 Syllabus
CSCE 5300.080, Introduction to Big Data and Data Science, Summer 8W1 2019 SPOT
ADTA 5120.080, Introduction to Data Analytics, Summer 8W1 2019 Syllabus SPOT
ADTA 5120.100, Introduction to Data Analytics, Summer 8W1 2019 SPOT
INSD 5900.501, Special Problems, Summer 10W 2019
ADTA 5940.501, Analytics Capstone Experience, Spring 2019
ADTA 5130.080, Data Analytics I, Spring 8W1 2019 SPOT
ADTA 5130.100, Data Analytics I, Spring 8W1 2019 SPOT
ADTA 5130.126, Data Analytics I, Spring 8W1 2019 SPOT
ADTA 5230.501, Data Analytics II, Spring 2019 SPOT
CSCE 5380.501, Data Mining, Spring 2019 SPOT
ADTA 5120.080, Introduction to Data Analytics, Spring 8W2 2019 SPOT
ADTA 5120.100, Introduction to Data Analytics, Spring 8W2 2019 SPOT
ADTA 5900.502, Special Problems, Spring 2019
ADTA 5940.501, Analytics Capstone Experience, Fall 2018
ADTA 5130.080, Data Analytics I, Fall 8W1 2018 SPOT
ADTA 5130.100, Data Analytics I, Fall 8W1 2018 SPOT
ADTA 5130.501, Data Analytics I, Fall 2018 SPOT
CSCE 5300.501, Introduction to Big Data and Data Science, Fall 2018 SPOT
ADTA 5120.501, Introduction to Data Analytics, Fall 2018 SPOT
CSCE 5310.501, Methods in Empirical Analysis, Fall 2018 SPOT
INSD 5120.080, Introduction to Data Science, Summer 8W1 2018 SPOT
INSD 5120.100, Introduction to Data Science, Summer 8W1 2018 SPOT
INSD 5120.126, Introduction to Data Science, Summer 8W1 2018 SPOT
INSD 5130.080, Data Analytics I, Spring 8W1 2018 SPOT
INSD 5130.100, Data Analytics I, Spring 8W1 2018 SPOT
INSD 5130.126, Data Analytics I, Spring 8W1 2018
INSD 5130.701, Data Analytics I, Spring 8W1 2018 SPOT
INSD 5140.501, Data Analytics II, Spring 2018
INSD 5120.080, Introduction to Data Science, Spring 8W2 2018 SPOT
INSD 5120.086, Introduction to Data Science, Spring 8W2 2018
INSD 5120.100, Introduction to Data Science, Spring 8W2 2018 SPOT
INSD 5120.701, Introduction to Data Science, Spring 8W2 2018 SPOT
INSD 5130.501, Data Analytics I, Fall 2017 SPOT
INSD 5130.701, Data Analytics I, Fall 8W1 2017 SPOT
INSD 5130.702, Data Analytics I, Fall 8W1 2017
MGMT 3330.070, Communicating in Business, Summer 5W1 2015 SPOT
MGMT 4470.070, Leadership, Spring 2015
MGMT 3720.004, Organizational Behavior, Spring 2015
MGMT 4860.001, Organizational Design and Change, Spring 2015
MGMT 4860.070, Organizational Design and Change, Spring 2015
MGMT 3880.070, Business Ethics and Social Responsibility, Fall 2014
MGMT 3860.070, Human Resource Management, Fall 2014
MGMT 5120.001, Managing Organizational Design and Change, Fall 2014
MGMT 5120.080, Managing Organizational Design and Change, Fall MA 2014
MGMT 4860.001, Organizational Design and Change, Fall 2014
MGMT 3330.070, Communicating in Business, Summer 5W1 2014
MGMT 3330.070, Communicating in Business, Spring 2014
MGMT 4470.070, Leadership, Spring 2014
LTEC 4121.021, Technical Presentation Skills, Spring 2014
MGMT 3880.070, Business Ethics and Social Responsibility, Fall 2013
MGMT 3860.070, Human Resource Management, Fall 2013
MGMT 4660.070, International Management Perspectives, Fall 2013
LTEC 4070.023, Principles of Leadership, Empowerment and Team Building, Fall 2013
MGMT 4660.070, International Management Perspectives, Summer 5W1 2013
MGMT 3860.070, Human Resource Management, Spring 2013
MGMT 4470.070, Leadership, Spring 2013
MGMT 3820.070, Management Concepts, Spring 2013
LTEC 4070.022, Principles of Leadership, Empowerment and Team Building, Spring 2013
MGMT 3880.070, Business Ethics and Social Responsibility, Fall 2012
MGMT 4470.070, Leadership, Fall 2012
LTEC 4070.022, Principles of Leadership, Empowerment and Team Building, Fall 2012
LTEC 4070.022, Principles of Leadership, Empowerment and Team Building, Spring 2012
LTEC 4070.022, Principles of Leadership, Empowerment and Team Building, Fall 2011

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Book Chapter
Allen, J., Joshua Gojer, A., Gavrilova-Aguilar, M., Philpot, D., Wang, V. C. (2012). Sustaining Organizational Innovation. In Wang, V. C. X. (Ed., 2012). Encyclopedia of e-leadership, counseling, and training. Encyclopedia of E-Leadership, Counseling and Training. Hershey PA: IGI Global.
Philpot, D. R., Pasquini, L. A. (2012). Training and Development: Leveraging Diversity to Gain Strategic Advantage in Corporate Settings. Handbook of Research on Workplace Diversity in a Global Society: Technologies and Concepts. 244–261. IGI Publishing Inc..
Philpot, D., Pasquini, L., Scott, (2012). Training and development: Leveraging diversity to gain strategic advantage in corporate settings.. Handbook of research on workplace diversity in a global society. Hershey, PA: IGI Global.
Conference Proceeding
Philpot, D. (2014). Why Care About Faculty Diversity?. Southwest Decision Sciences Institute Conference.
Journal Article
Habib, A., Prybutok, V. R., Philpot, D. (2021). Assessing and Building Municipal Open Data Capability. Information Systems and e-Business Management. no. na(November 2021), 25. New York, NY: Springer Nature. https://group.springernature.com/gp/group
Philpot, D., Gavrilova Aguilar, M. (2021). Post-Leave (Return to Work) Training Needs and Human Resource Development. Advances in Developing Human Resources. 23(2), 14. Thousand Oaks, CA: Sage Publishing. https://journals.sagepub.com/doi/10.1177/1523422320982935
Kimbell, J., Hammer, E., Macy, A., Philpot, D. R. (2018). Yellow Card: U.S. Women's Soccer Seeks Pay Equity. The CASE Journal. 14(3), 272-291. Somerville, MA: Emerald Publishing. https://www.emerald.com/insight/content/doi/10.1108/TCJ-03-2017-0025/full/html
Clark, R., Kimbell, J., Philpot, D., Terry, N. (2017). Hazing and Bullying in the NFL. Journal of Business Cases and Applications. 16(1), 120-137. Point Verde Beach, FL: Academic and Business Research Institute. http://www.aabri.com/manuscripts/162510.pdf
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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