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Schenita A. Floyd

Title: Clinical Assistant Professor

Department: ADA - Advanced Data Analytics

College: University of North Texas

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of North Texas, 2021
    Major: Information Science
    Specialization: Data Science
    Dissertation: Artificial Intelligence in a Collaborative Information Seeking Environment from the Perspective of Women Engineers in the United States
  • Certificate, George Washington University, 2001
    Major: Project Management
    Specialization: Project Management
    Dissertation: NA
  • MBA, Southeastern University, 2000
    Major: Business
    Specialization: Finance
    Dissertation: N/A
  • BS, Texas A&M University, 1997
    Major: Electrical Engineering
    Specialization: Control Systems and Telecommunications
    Dissertation: NA

Current Scheduled Teaching

ADTA 5240.003Harvesting, Storing and Retrieving DataFall 2024
ADTA 5810.001Managing Analytics ProjectsFall 2024
ADTA 5810.400Managing Analytics ProjectsFall 8W1 2024

Previous Scheduled Teaching

ADTA 5840.001Agile Frameworks for AnalyticsSpring 2024 SPOT
ADTA 5240.004Harvesting, Storing and Retrieving DataSpring 2024 SPOT
IPAC 4240.700Principles of Data Structures, Harvesting and WranglingSpring 8W1 2024 Syllabus SPOT
ADTA 5240.001Harvesting, Storing and Retrieving DataFall 2023 SPOT
ADTA 5240.011Harvesting, Storing and Retrieving DataFall 2023 SPOT
ADTA 5240.110Harvesting, Storing and Retrieving DataFall 8W2 2023 SPOT
ADTA 5810.501Managing Analytics ProjectsFall 2023 SPOT
ADTA 5240.100Harvesting, Storing and Retrieving DataSummer 8W1 2023 SPOT
IPAC 4240.100Principles of Data Structures, Harvesting and WranglingSummer 8W1 2023 Syllabus SPOT
ADTA 5900.110Special ProblemsSummer 8W1 2023
ADTA 5340.001Discovery and Learning with Big DataSpring 2023 SPOT
ADTA 5340.501Discovery and Learning with Big DataSpring 2023 SPOT
ADTA 5340B.001Exploratory Data Analysis, Visualization, & Supervised Machine LearningSpring 4W2 2023
ADTA 5340A.001Exploring Machine Learning and AISpring 4W4 2023
IPAC 4340.700Methods for Discovery and Learning from DataSpring 8W2 2023 Syllabus SPOT
ADTA 5340.001Discovery and Learning with Big DataFall 2022 SPOT
ADTA 5340.501Discovery and Learning with Big DataFall 2022 SPOT
ADTA 5240A.001Fundamentals of Data EngineeringFall 4W2 2022
ADTA 5240.001Harvesting, Storing and Retrieving DataFall 2022 SPOT
IPAC 4340.001Methods for Discovery and Learning from DataFall 2022 Syllabus SPOT
ADTA 5340.110Discovery and Learning with Big DataSummer 8W2 2022 SPOT
IPAC 4340.110Methods for Discovery and Learning from DataSummer 8W2 2022 Syllabus SPOT
ADTA 5340.001Discovery and Learning with Big DataSpring 2022 SPOT
ADTA 5340.501Discovery and Learning with Big DataSpring 2022 SPOT
IPAC 4340.001Methods for Discovery and Learning from DataSpring 2022 Syllabus SPOT
IPAC 4340.501Methods for Discovery and Learning from DataSpring 2022 Syllabus SPOT

Published Intellectual Contributions

    Journal Article

  • Saavedra, C., Floyd, S., Mohammad, M., Ivester, R. (2022). From PMO to APO: The Transformation of a Project Management Team. PM World Journal. 11 (6) 1-17. https://pmworldlibrary.net/wp-content/uploads/2022/05/pmwj118-Jun2022-Saavedra-et-al-from-pmo-to-apo-transformation-of-pm-team.pdf
  • Floyd, S. (2021). Assessing African American Women Engineers’ Workplace Sentiment within the AI Field. The International Journal of Information, Diversity, & Inclusion. (5:5) 1-12. https://doi.org/10.33137/ijidi.v5i5.34765
  • Floyd, S. (2016). Do machines hold a key to business success. PM World Journal. 5 (10) 1-10. https://pmworldlibrary.net/wp-content/uploads/2016/10/pmwj51-Oct2016-Floyd-machines-hold-key-to-business-success-second-edition.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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