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Richard S. Herrington

Title: Adjunct Faculty

Department: Information Science

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Current Scheduled Teaching

DTSC 5502.022Principles and Techniques for Data ScienceSpring 2025
DTSC 3020.020Introduction to Computation with PythonFall 2024 Syllabus
DTSC 5502.021Principles and Techniques for Data ScienceFall 2024
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

DTSC 5502.022Principles and Techniques for Data ScienceSpring 2024 SPOT
DTSC 5502.021Principles and Techniques for Data ScienceFall 2023 SPOT
INFO 5502.022Principles and Techniques for Data ScienceSpring 2023 SPOT
INFO 5502.021Principles and Techniques for Data ScienceFall 2022 SPOT
INFO 5502.003Principles and Techniques for Data ScienceSpring 2022 SPOT
INFO 5502.003Principles and Techniques for Data ScienceFall 2021 SPOT
INFO 5900.704Special ProblemsSummer 10W 2021
INFO 5502.002Analytic Tools, Techniques and MethodsSpring 2021 Syllabus SPOT
INFO 5502.203Analytic Tools, Techniques and MethodsFall 2020 SPOT
INFO 5960.003Library and Information Sciences Institute or SeminarSpring 2020
PSYC 5710.001Quantitative Methods IISpring 2019 SPOT
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 Intellectual Contributions

    Journal Article

  • Saddrudin, S., Barnett, B., Ku, L., Havemann, D., Jucowski, S., Herrington, R., Burggren, W.W. (2020). Maternal serum concentration of anti-Müllerian hormone is a better predictor than follicle stimulating hormone of successful blastocysts development during IVF treatment.. PLOS One. 10.1371/journal.pone.0239779.
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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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