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Nassim Sohaee

Title: Clinical Associate Professor

Department: Information Technology and Decision Sciences

College: College of Business

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, University of Texas at Dallas, 2009
    Major: Computer Science
    Dissertation: Optimization in design of underwater sensor networks
  • PhD, University Texas at Arlington, 2003
    Major: Mathematics
    Dissertation: Upward Embedding of Digraphs on the Surfaces

Current Scheduled Teaching

DSCI 5240.004Data Mining and Machine Learning for BusinessSpring 2025
BCIS 5110.002Programming Languages for Business AnalyticsSpring 2025
DSCI 5240.402Data Mining and Machine Learning for BusinessFall 2024
BCIS 5110.011Programming Languages for Business AnalyticsFall 2024
BCIS 5110.501Programming Languages for Business AnalyticsFall 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

DSCI 5240.004Data Mining and Machine Learning for BusinessSpring 2024 SPOT
BCIS 5110.002Programming Languages for Business AnalyticsSpring 2024 SPOT
BCIS 5110.004Programming Languages for Business AnalyticsSpring 2024 SPOT
DSCI 5240.002Data Mining and Machine Learning for BusinessFall 2023 SPOT
DSCI 5240.007Data Mining and Machine Learning for BusinessFall 2023 SPOT
BCIS 5110.501Programming Languages for Business AnalyticsFall 2023 SPOT
MSCI 6900.703Special ProblemsFall 2023 SPOT
BCIS 5110.001Programming Languages for Business AnalyticsSummer 5W2 2023 SPOT
DSCI 5240.004Data Mining and Machine Learning for BusinessSpring 2023 SPOT
BCIS 5110.002Programming Languages for Business AnalyticsSpring 2023 SPOT
BCIS 5110.004Programming Languages for Business AnalyticsSpring 2023 SPOT
MSCI 6900.756Special ProblemsSpring 2023
DSCI 5240.005Data Mining and Machine Learning for BusinessFall 2022 SPOT
DSCI 5240.006Data Mining and Machine Learning for BusinessFall 2022 SPOT
BCIS 5110.005Programming Languages for Business AnalyticsFall 2022 SPOT
BCIS 5110.006Programming Languages for Business AnalyticsFall 2022 SPOT
BCIS 5110.008Programming Languages for Business AnalyticsFall 2022 SPOT
DSCI 5240.001Data Mining and Machine Learning for BusinessSpring 2022 SPOT
DSCI 5240.004Data Mining and Machine Learning for BusinessSpring 2022 SPOT
BCIS 5110.002Programming Languages for Business AnalyticsSpring 2022 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

    Book Chapter

  • Sohaee, N. (2023). Constructing renewable energy systems using big data applications. Other. Handbook of Smart Energy Systems. pages 347-359. Springer Cham.

    • Journal Article

  • Sohaee, N., Bohluli, S. (2024). Nonlinear Analysis of the Effects of Socioeconomic, Demographic, and Technological Factors on the Number of Fatal Traffic Accidents. 10 (1) 18. Basel, MDPI. https://www.mdpi.com/2313-576X/10/1/11
  • Sohaee, N. (2023). Error and Optimism Bias Regularization. Other. 10 (8) Springer. https://journalofbigdata.springeropen.com/articles/10.1186/s40537-023-00685-9
  • Sohaee, N. (2022). Deep learning model for express lane traffic forecasting. Other. 3 (2) 129-135.

Contracts, Grants and Sponsored Research

    Contract

  • Sohaee, N. (Co-Principal), "Traffic and Revenue study for SH580 and SH680 express lanes," sponsored by Alameda County, California, Local, $40000 Funded. (2020 - 2020).
  • Sohaee, N. (Supporting), "North Texas Tollway Authority (NTTA) on traffic and revenue analysis of Special Project System," sponsored by North Texas Tollway Authority, Local, $20000 Funded. (2018 - 2018).
,
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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