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Dmitry Anokhin

Title: Instructor

Department: Information Technology and Decision Sciences

College: College of Business

Curriculum Vitae

Curriculum Vitae Link

Education

  • DBA, George Washington University,
    Major: Business Administration
    Specialization: Decision Sciences
  • MA, Kent State University, 2016
    Major: Applied Mathematics

Current Scheduled Teaching

DSCI 5180.007Analytics Foundations for BusinessFall 2025
DSCI 5180.405Analytics Foundations for BusinessFall 8W2 2025
DSCI 5180.501Analytics Foundations for BusinessFall 2025
DSCI 3710.405Business Statistics with SpreadsheetsSummer 5W2 2025 Syllabus SPOT
DSCI 2710.406Data Analysis with SpreadsheetsSummer 5W2 2025 Syllabus 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.

Previous Scheduled Teaching

DSCI 3710.405Business Statistics with SpreadsheetsSummer 5W2 2025 Syllabus SPOT
DSCI 2710.406Data Analysis with SpreadsheetsSummer 5W2 2025 Syllabus SPOT
DSCI 5180.006Introduction to the Business Decision ProcessSpring 2025 SPOT
DSCI 5180.401Introduction to the Business Decision ProcessSpring 8W1 2025 SPOT
DSCI 5180.007Introduction to the Business Decision ProcessFall 2024 SPOT
DSCI 5180.501Introduction to the Business Decision ProcessFall 2024 SPOT
DSCI 3710.004Business Statistics with SpreadsheetsSpring 2024 Syllabus SPOT
DSCI 5180.003Introduction to the Business Decision ProcessSpring 2024 SPOT
DSCI 5180.007Introduction to the Business Decision ProcessFall 2023 SPOT
DSCI 5180.501Introduction to the Business Decision ProcessFall 2023 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

  • Su, J., Anokhin, D., Dehghanian, P., Lejeune, M.A. (2023). On the Use of Mobile Power Sources in Distribution Networks Under Endogenous Uncertainty. IEEE Transactions on Control of Network Systems. https://ieeexplore.ieee.org/document/10068296
  • Anokhin, S., Bushuev , M., Akerman, E., Spitsin, V., Anokhin, D. (2021). Arbitrage Opportunity Estimation: The Case of the Cobb-Douglas Production Function. International Journal of Operational Research. https://doi.org/10.1504/IJOR.2021.10044099
  • Anokhin, D., Dehghanian, P., Lejeune, M.A., Su, J. (2021). Mobility-As-A-Service for Resilience Delivery in Power Distribution Systems. Production and Operations Management. 30 (8) 2492-2521. https://doi.org/10.1111/poms.13393
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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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