Faculty Profile

Levent Bulut

Title
Clinical Assistant Professor
Department
ADA - Advanced Data Analytics
College
University of North Texas

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


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





          

        
                

          
Current Scheduled Teaching*


          
ADTA 5410.410, Applications and Deployment of Advanced Analytics, Spring 2024 
ADTA 5410.501, Applications and Deployment of Advanced Analytics, Spring 2024 Syllabus
ADTA 5130.401, Data Analytics I, Spring 2024 Syllabus
ADTA 5130.501, Data Analytics I, Spring 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 5410.110, Applications and Deployment of Advanced Analytics, Fall 8W2 2023  SPOT
                    

                    ADTA 5410.501, Applications and Deployment of Advanced Analytics, Fall 2023 Syllabus SPOT
                    

                    IPAC 4130.100, Data Analytics and Computational Statistics 1, Fall 8W1 2023 Syllabus SPOT
                    

                    ADTA 5130.100, Data Analytics I, Fall 8W1 2023 Syllabus SPOT
                    

                    ADTA 5130.501, Data Analytics I, Fall 2023 Syllabus SPOT
                    

                    ADTA 5940.001, Analytics Capstone Experience, Summer 10W 2023  SPOT
                    

                    ADTA 5900.101, Special Problems, Summer 10W 2023 
                    

                    ADTA 5410.110, Applications and Deployment of Advanced Analytics, Spring 8W2 2023  SPOT
                    

                    ADTA 5130C.001, Correlation & Regression: Generating Solutions, Spring 4W3 2023 
                    

                    IPAC 4130.100, Data Analytics and Computational Statistics 1, Spring 8W1 2023 Syllabus SPOT
                    

                    IPAC 4130.501, Data Analytics and Computational Statistics 1, Spring 2023 Syllabus SPOT
                    

                    ADTA 5130.100, Data Analytics I, Spring 8W1 2023 Syllabus SPOT
                    

                    ADTA 5130.501, Data Analytics I, Spring 2023 Syllabus SPOT
                    

                    ADTA 5410.110, Applications and Deployment of Advanced Analytics, Fall 8W2 2022 Syllabus SPOT
                    

                    IPAC 4230.001, Data Analytics and Computational Statistics 2, Fall 2022 Syllabus SPOT
                    

                    IPAC 4230.700, Data Analytics and Computational Statistics 2, Fall 8W2 2022 Syllabus SPOT
                    

                    ADTA 5230.001, Data Analytics II, Fall 2022 Syllabus SPOT
                    

                    IPAC 4130.110, Data Analytics and Computational Statistics 1, Summer 8W2 2022 Syllabus SPOT
                    

                    ADTA 5130.110, Data Analytics I, Summer 8W2 2022 Syllabus SPOT
                    

                    ADTA 5410.110, Applications and Deployment of Advanced Analytics, Spring 8W2 2022  SPOT
                    

                    ADTA 5410.501, Applications and Deployment of Advanced Analytics, Spring 2022 Syllabus SPOT
                    

                    IPAC 4230.700, Data Analytics and Computational Statistics 2, Spring 8W1 2022 Syllabus SPOT
                    

                    ADTA 5410.100, Applications and Deployment of Advanced Analytics, Fall 8W2 2021 Syllabus SPOT
                    

                    ADTA 5410.126, Applications and Deployment of Advanced Analytics, Fall 8W2 2021 Syllabus
                    

                    ADTA 5410.501, Applications and Deployment of Advanced Analytics, Fall 2021 Syllabus SPOT
                    

                    IPAC 4130.700, Data Analytics and Computational Statistics 1, Fall 8W2 2021 Syllabus SPOT
                    

                    IPAC 4130.750, Data Analytics and Computational Statistics 1, Fall 8W2 2021 Syllabus SPOT
                    

                    IPAC 4130.100, Data Analytics and Computational Statistics 1, Summer 8W2 2021 Syllabus SPOT
                    

                    ADTA 5130.100, Data Analytics I, Summer 8W2 2021 Syllabus SPOT
                    

                    CSCE 5310.001, Methods in Empirical Analysis, Summer 8W2 2021 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.
  

        

      

    

  

  
  	

	

	  

		

		   
Published Publications



  

  
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



	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

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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
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    • 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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