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Mehmet Orhan

Title: Clinical Assistant Professor

Department: ADA - Advanced Data Analytics

College: University of North Texas

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Bilkent University, 2000
    Major: Economics

Current Scheduled Teaching

ADTA 5550.001Deep Learning with Big DataFall 2024
ADTA 5550.401Deep Learning with Big DataFall 8W1 2024
ADTA 5550.501Deep Learning with Big DataFall 2024
IPAC 4230.100Data Analytics and Computational Statistics 2Summer 8W1 2024 Syllabus SPOT
ADTA 5230.400Data Analytics IISummer 8W1 2024 SPOT

Previous Scheduled Teaching

IPAC 4230.100Data Analytics and Computational Statistics 2Summer 8W1 2024 Syllabus SPOT
ADTA 5230.400Data Analytics IISummer 8W1 2024 SPOT
ADTA 5130.001Data Analytics ISpring 2024 Syllabus SPOT
ADTA 5230.002Data Analytics IISpring 2024 Syllabus SPOT
ADTA 5230.003Data Analytics IISpring 2024 Syllabus SPOT
IPAC 4230.100Data Analytics and Computational Statistics 2Fall 8W1 2023 Syllabus SPOT
IPAC 4230.501Data Analytics and Computational Statistics 2Fall 2023 Syllabus SPOT
ADTA 5230.100Data Analytics IIFall 8W1 2023 SPOT
ADTA 5230.501Data Analytics IIFall 2023 SPOT
ADTA 5550.501Deep Learning with Big DataFall 2023 SPOT
ADTA 5340.100Discovery and Learning with Big DataSummer 8W1 2023 SPOT
IPAC 4340.100Methods for Discovery and Learning from DataSummer 8W1 2023 Syllabus SPOT
IPAC 4130.002Data Analytics and Computational Statistics 1Spring 2023 Syllabus SPOT
IPAC 4230.100Data Analytics and Computational Statistics 2Spring 8W1 2023 Syllabus SPOT
ADTA 5130.002Data Analytics ISpring 2023 SPOT
ADTA 5230.001Data Analytics IISpring 2023 SPOT
ADTA 5230.100Data Analytics IISpring 8W1 2023 SPOT
ADTA 5230.101Data Analytics IISpring 8W1 2023 SPOT
IPAC 4130.110Data Analytics and Computational Statistics 1Fall 8W2 2022 Syllabus SPOT
IPAC 4230.501Data Analytics and Computational Statistics 2Fall 2022 Syllabus SPOT
ADTA 5130.110Data Analytics IFall 8W2 2022 SPOT
ADTA 5130.501Data Analytics IFall 2022 SPOT
ADTA 5230.501Data Analytics IIFall 2022 SPOT

Published Intellectual Contributions

    Journal Article

  • Orhan, M., Saka, H. R&D Expenditures as a Driver of Employment Growth: Evidence from Three Broad Sectors. Journal of the Knowledge Economy.
  • Orhan, M., Saka, H. (2022). R&D and Employment Relation: Differences in Low and High-Skilled Employment in Developing Economies. Eurasian Journal of Business and Economics. 15 (30) 63-86. https://www.ejbe.org/index.php/EJBE
  • Kiray, V., Orhan, M., Chijioke, J.N. (2021). Significant Increase in Fuel Efficiency of Diesel Generators with Lithium-Ion Batteries Documented by Economic Analysis. Energies. 14 (21) 1-22. Basel, MDPI. https://www.mdpi.com/journal/energies/indexing
  • Oztunc, H., Orhan, M. (2021). Gold Demand by Central Banks: A Comparative Study for Emerging Market and Advanced Economies. Emerging Markets Finance and Trade. 57 (9) 2687-2698. Taylor and Francis. https://www.tandfonline.com/toc/mree20/current
  • Saka, H., Orhan, M., Okte, S. (2021). Empirics of Technology and Unemployment in Advanced Countries. Theoretical and Applied Economics. 28 (1(626)) 183-200. Bucharest, General Association of the Economists in Romania (AGER). http://www.ectap.ro/
  • Karimova, A., Simsek, E., Orhan, M. (2020). Policy Implications of the Lucas Critique Empirically Tested Along the Global Financial Crisis. Journal of Policy Modeling. 42 153-172. ScienceDirect by Elsevier. (https://www.sciencedirect.com/journal/journal-of-policy-modeling)
  • Orhan, M., Oztunc, H., Demirbas, E. (2019). A Comparative Study on the Impact of Telecommunication Investment on Economic Growth in EU Vis-à-Vis Non-EU OECD Countries: A Dynamic Panel Data Analysis. Asian Journal of Economics, Business and Accounting. 12 (3) 1-16. https://journalajeba.com/index.php/AJEBA/article/view/269

Contracts, Grants and Sponsored Research

    Grant - Research

  • Orhan, M., "Performance of VaR in Quantifying Risk of US Sectors around Coronavirus Pandemic," sponsored by LCOBA, Valdosta State University, Local, $5150 Funded. (2022 - 2022).
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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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