Faculty Profile

Mehmet Orhan

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

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, Bilkent University, 2000. 
Major: Economics





          

        
                

          
Current Scheduled Teaching*


          
IPAC 4230.100, Data Analytics and Computational Statistics 2, Summer 2024 
ADTA 5230.400, Data Analytics II, Summer 2024 
ADTA 5130.001, Data Analytics I, Spring 2024 Syllabus
ADTA 5230.002, Data Analytics II, Spring 2024 Syllabus
ADTA 5230.003, Data Analytics II, 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*


            
                    

                    IPAC 4230.100, Data Analytics and Computational Statistics 2, Fall 8W1 2023 Syllabus SPOT
                    

                    IPAC 4230.501, Data Analytics and Computational Statistics 2, Fall 2023 Syllabus SPOT
                    

                    ADTA 5230.100, Data Analytics II, Fall 8W1 2023 Syllabus SPOT
                    

                    ADTA 5230.501, Data Analytics II, Fall 2023 Syllabus SPOT
                    

                    ADTA 5550.501, Deep Learning with Big Data, Fall 2023 Syllabus SPOT
                    

                    ADTA 5340.100, Discovery and Learning with Big Data, Summer 8W1 2023 Syllabus SPOT
                    

                    IPAC 4340.100, Methods for Discovery and Learning from Data, Summer 8W1 2023 Syllabus SPOT
                    

                    IPAC 4130.002, Data Analytics and Computational Statistics 1, Spring 2023 Syllabus SPOT
                    

                    IPAC 4230.100, Data Analytics and Computational Statistics 2, Spring 8W1 2023 Syllabus SPOT
                    

                    ADTA 5130.002, Data Analytics I, Spring 2023 Syllabus SPOT
                    

                    ADTA 5230.001, Data Analytics II, Spring 2023 Syllabus SPOT
                    

                    ADTA 5230.100, Data Analytics II, Spring 8W1 2023 Syllabus SPOT
                    

                    ADTA 5230.101, Data Analytics II, Spring 8W1 2023 Syllabus SPOT
                    

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

                    IPAC 4230.501, Data Analytics and Computational Statistics 2, Fall 2022 Syllabus SPOT
                    

                    ADTA 5130.110, Data Analytics I, Fall 8W2 2022  SPOT
                    

                    ADTA 5130.501, Data Analytics I, Fall 2022 Syllabus SPOT
                    

                    ADTA 5230.501, Data Analytics II, Fall 2022 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


  
Journal Article
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



	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					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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