Faculty Profile

Sourav Chatterjee

Title
Clinical Assistant Professor
Department
Information Technology and Decision Sciences
College
College of Business

    

    

      


                          

            
Curriculum Vitae

            

              Click Here to View Faculty CV
            

          

        
                          

            
Education

            



  

  


  
PhD, University of Florida, 2003. 
Major: Economics
Degree Specialization: Industrial Organization
Dissertation Title: Consolidations, Efficiency, and Quality in Health Care Markets
MA, University of Florida, 1999. 
Major: Economics





          

        
                

          
Current Scheduled Teaching*


          
DSCI 5340.002, Predictive Analytics and Business Forecasting, Summer 2024 
DSCI 5340.002, Predictive Analytics and Business Forecasting, Spring 2024 Syllabus
DSCI 5340.004, Predictive Analytics and Business Forecasting, 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*


            
                    

                    DSCI 5340.001, Predictive Analytics and Business Forecasting, Fall 2023 Syllabus SPOT
                    

                    DSCI 5340.004, Predictive Analytics and Business Forecasting, Fall 2023 Syllabus SPOT
                    

                    DSCI 5340.005, Predictive Analytics and Business Forecasting, Fall 2023 Syllabus SPOT
                    

                    DSCI 5340.002, Predictive Analytics and Business Forecasting, Summer 5W1 2023 Syllabus SPOT
                    

                    DSCI 5340.003, Predictive Analytics and Business Forecasting, Summer 5W2 2023 Syllabus SPOT
                    

                    DSCI 5180.003, Introduction to the Business Decision Process, Spring 2023 Syllabus SPOT
                    

                    DSCI 5340.002, Predictive Analytics and Business Forecasting, Spring 2023 Syllabus SPOT
                    

                    DSCI 5340.004, Predictive Analytics and Business Forecasting, Spring 2023 Syllabus SPOT
                    

                    DSCI 5340.001, Predictive Analytics and Business Forecasting, Fall 2022 Syllabus SPOT
                    

                    DSCI 5340.002, Predictive Analytics and Business Forecasting, Fall 2022 Syllabus SPOT
                    

                    DSCI 5340.003, Predictive Analytics and Business Forecasting, Fall 2022 Syllabus SPOT
                    

                    DSCI 5340.004, Predictive Analytics and Business Forecasting, Fall 2022 Syllabus SPOT
                    

                    DSCI 5340.005, Predictive Analytics and Business Forecasting, Fall 2022 Syllabus SPOT
                    

                    DSCI 5240.002, Data Mining and Machine Learning for Business, Spring 2022 Syllabus SPOT
                    

                    DSCI 5240.003, Data Mining and Machine Learning for Business, Spring 2022 Syllabus SPOT
                    

                    DSCI 5340.003, Predictive Analytics and Business Forecasting, Spring 2022 Syllabus SPOT
                    

                    DSCI 5340.501, Predictive Analytics and Business Forecasting, Spring 2022 Syllabus SPOT
                    

                    DSCI 5260.001, Business Process Analytics, Fall 2021 Syllabus SPOT
                    

                    DSCI 4520.002, Introduction to Data Mining, Fall 2021 Syllabus SPOT
                    

                    DSCI 5340.001, Predictive Analytics and Business Forecasting, Fall 2021 Syllabus SPOT
                    

                    DSCI 5340.002, Predictive Analytics and Business Forecasting, Fall 2021 Syllabus SPOT
                    

                    DSCI 5340.501, Predictive Analytics and Business Forecasting, Fall 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


  
Journal Article
Johnson, V., Maurer, C., Torres, R., Guerra, K., Srivastava, S., Mohit, H., Srivastava, S., Chatterjee, S.  (2024). The 2023 SIM IT Issues and Trends Study. MIS Quarterly Executive. 23(1), 83-124. 
Johnson, V., Torres, R., Maurer, C., Chatterjee, S., Guerra, K., Mohit, H., Srivastava, S.  (2023). A Preview of the 2023 SIM IT Trends Study. MIS Quarterly Executive. 22(4), . MISQ Executive. 
Research Report
Johnson, V., Torres, R., Maurer, C., Guerra, K., Srivastava, S., Mohit, H., Chatterjee, S.  (2023). Issues, Investments, Concerns & Practices of Organizations, and their IT Organizations: 2024 Comprehensive Report. 49. Society of Information Management. 



	
		
		
	  

	

	

  
    
	

	

	  

		

		   	
		
		
	  

	

	

	
	

  
  
  

  	

		

		,  
			
				

					
					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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