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Levent Bulut

Title: Clinical Assistant Professor

Department: ADA - Advanced Data Analytics

College: University of North Texas

Curriculum Vitae

Curriculum Vitae Link

Education

  • MSc, Georgia Institute of Technology, 2020
    Major: Analytics
    Specialization: Analytics
  • PhD, University of Houston, 2007
    Major: Economics
    Specialization: International Finance
    Dissertation: Capital Mobility and Degree and Current Account Adjustments
  • MA, University of Houston, 2005
    Major: Economics
  • MA, Marmara University, 2002
    Major: Economics
    Specialization: Economics
    Dissertation: The theory of the technical analysis: evidence from the Istanbul stock exchange market
  • BA, Bilkent University, 2000
    Major: Economics

Current Scheduled Teaching

ADTA 5410.411Applications and Deployment of Advanced AnalyticsFall 8W2 2024
ADTA 4130.002Data Analytics and Computational Statistics 1Fall 2024 Syllabus
ADTA 5130.002Data Analytics IFall 2024 Syllabus
ADTA 5130.501Data Analytics IFall 2024 Syllabus
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

ADTA 5410.410Applications and Deployment of Advanced AnalyticsSpring 8W2 2024 SPOT
ADTA 5410.501Applications and Deployment of Advanced AnalyticsSpring 2024 SPOT
ADTA 5130.401Data Analytics ISpring 8W1 2024 SPOT
ADTA 5130.501Data Analytics ISpring 2024 SPOT
ADTA 5410.110Applications and Deployment of Advanced AnalyticsFall 8W2 2023 SPOT
ADTA 5410.501Applications and Deployment of Advanced AnalyticsFall 2023 SPOT
IPAC 4130.100Data Analytics and Computational Statistics 1Fall 8W1 2023 Syllabus SPOT
ADTA 5130.100Data Analytics IFall 8W1 2023 SPOT
ADTA 5130.501Data Analytics IFall 2023 SPOT
ADTA 5940.001Analytics Capstone ExperienceSummer 10W 2023 SPOT
ADTA 5900.101Special ProblemsSummer 10W 2023
ADTA 5410.110Applications and Deployment of Advanced AnalyticsSpring 8W2 2023 SPOT
ADTA 5130C.001Correlation & Regression: Generating SolutionsSpring 4W3 2023
IPAC 4130.100Data Analytics and Computational Statistics 1Spring 8W1 2023 Syllabus SPOT
IPAC 4130.501Data Analytics and Computational Statistics 1Spring 2023 Syllabus SPOT
ADTA 5130.100Data Analytics ISpring 8W1 2023 Syllabus SPOT
ADTA 5130.501Data Analytics ISpring 2023 Syllabus SPOT
ADTA 5410.110Applications and Deployment of Advanced AnalyticsFall 8W2 2022 SPOT
IPAC 4230.001Data Analytics and Computational Statistics 2Fall 2022 Syllabus SPOT
IPAC 4230.700Data Analytics and Computational Statistics 2Fall 8W2 2022 Syllabus SPOT
ADTA 5230.001Data Analytics IIFall 2022 SPOT
IPAC 4130.110Data Analytics and Computational Statistics 1Summer 8W2 2022 Syllabus SPOT
ADTA 5130.110Data Analytics ISummer 8W2 2022 SPOT
ADTA 5410.110Applications and Deployment of Advanced AnalyticsSpring 8W2 2022 SPOT
ADTA 5410.501Applications and Deployment of Advanced AnalyticsSpring 2022 SPOT
IPAC 4230.700Data Analytics and Computational Statistics 2Spring 8W1 2022 Syllabus SPOT
ADTA 5410.100Applications and Deployment of Advanced AnalyticsFall 8W2 2021 SPOT
ADTA 5410.126Applications and Deployment of Advanced AnalyticsFall 8W2 2021
ADTA 5410.501Applications and Deployment of Advanced AnalyticsFall 2021 SPOT
IPAC 4130.700Data Analytics and Computational Statistics 1Fall 8W2 2021 Syllabus SPOT
IPAC 4130.750Data Analytics and Computational Statistics 1Fall 8W2 2021 Syllabus SPOT
IPAC 4130.100Data Analytics and Computational Statistics 1Summer 8W2 2021 Syllabus SPOT
ADTA 5130.100Data Analytics ISummer 8W2 2021 SPOT
CSCE 5310.001Methods in Empirical AnalysisSummer 8W2 2021 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

  • Maasoumi, E., Bulut, L. (2013). Predictability and specification in models of exchange rate determination. Recent Advances and Future Directions in Causality, Prediction, and Specification Analysis: Essays in Honor of Halbert L. White Jr. 411-436. https://api.elsevier.com/content/abstract/scopus_id/84948952307

    • Journal Article

  • Bulut, L., Rizvanoghlu, I. (2020). Is gold a safe haven? The international evidence revisited. Other. 70 (4) 531-549. https://api.elsevier.com/content/abstract/scopus_id/85099050829
  • Bulut, L., Dogan, C. (2018). Google Trends and Structural Exchange Rate Models for Turkish Lira--US Dollar Exchange Rate. Other. 14 (2) 20170026. De Gruyter.
  • Bulut, L. (2018). Google Trends and the forecasting performance of exchange rate models. Other. 37 (3) 303-315. https://api.elsevier.com/content/abstract/scopus_id/85044427734
  • Bulut, L. (2015). Does Statistical Significance Help to Evaluate Predictive Performance of Competing Models?. Other. 8 1--13.
  • Bulut, L. (2013). Current account dynamics and degree of capital mobility. Applied Economics Letters. 20 (7) 697-701. https://api.elsevier.com/content/abstract/scopus_id/84871301829
  • Bulut, L. (2012). Market disciplining of the developing countries' sovereign governments. Contemporary Economic Policy. 30 (4) 463-488. https://api.elsevier.com/content/abstract/scopus_id/84867233333
  • Bulut, L. (2011). External debts and current account adjustments. Other. 11 (1) https://api.elsevier.com/content/abstract/scopus_id/84855338192
  • Bulut, L., Nal, O. (2009). Market Discipline in Turkey Before and After the 2001 Financial Crisis. Other. 5 (1) 1--23. https://doi.org/10.2202/1475-3693.1183
,
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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